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DAMASK_EICMD
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Merge remote-tracking branch 'origin/development' into initial-eigenstrain

This commit is contained in:
Martin Diehl 2021-11-02 13:22:47 +01:00
parent 5b4b1c1933 9f152aca0d
commit f4f0163d5e
85 changed files with 4059 additions and 2763 deletions
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183
.github/workflows/Fortran.yml vendored Normal file
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@ -0,0 +1,183 @@
name: Grid and Mesh Solver
on: [push]
env:
HOMEBREW_NO_ANALYTICS: "ON" # Make Homebrew installation a little quicker
HOMEBREW_NO_AUTO_UPDATE: "ON"
HOMEBREW_NO_BOTTLE_SOURCE_FALLBACK: "ON"
HOMEBREW_NO_GITHUB_API: "ON"
HOMEBREW_NO_INSTALL_CLEANUP: "ON"
jobs:
gcc:
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [ubuntu-latest, macos-latest]
gcc_v: [9, 10, 11] # Version of GCC compilers
env:
GCC_V: ${{ matrix.gcc_v }}
steps:
- uses: actions/checkout@v2
- name: GCC - Install (Linux)
if: contains( matrix.os, 'ubuntu')
run: |
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt-get update
sudo apt-get install -y gcc-${GCC_V} gfortran-${GCC_V} g++-${GCC_V}
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-${GCC_V} 100 \
--slave /usr/bin/gfortran gfortran /usr/bin/gfortran-${GCC_V} \
--slave /usr/bin/g++ g++ /usr/bin/g++-${GCC_V} \
--slave /usr/bin/gcov gcov /usr/bin/gcov-${GCC_V}
- name: GCC - Install (macOS)
if: contains( matrix.os, 'macos')
run: |
brew install gcc@${GCC_V} || brew upgrade gcc@${GCC_V} || true
brew link gcc@${GCC_V}
- name: PETSc - Cache download
id: petsc-download
uses: actions/cache@v2
with:
path: download
key: petsc-3.16.0.tar.gz
- name: PETSc - Download
if: steps.petsc-download.outputs.cache-hit != 'true'
run: |
wget -q https://ftp.mcs.anl.gov/pub/petsc/release-snapshots/petsc-3.16.0.tar.gz -P download
- name: PETSc - Prepare
run: |
tar -xf download/petsc-3.16.0.tar.gz -C .
export PETSC_DIR=${PWD}/petsc-3.16.0
export PETSC_ARCH=gcc${GCC_V}
printenv >> $GITHUB_ENV
- name: PETSc - Cache installation
id: petsc-install
uses: actions/cache@v2
with:
path: petsc-3.16.0
key: petsc-3.16.0-${{ matrix.os }}-gcc${{ matrix.gcc_v }}-${{ hashFiles('**/petscversion.h') }}
- name: PETSc - Install (Linux)
if: contains( matrix.os, 'ubuntu')
run: |
cd petsc-3.16.0
./configure --with-fc=gfortran --with-cc=gcc --with-cxx=g++ \
--download-mpich --download-fftw --download-hdf5 --download-hdf5-fortran-bindings=1 --download-zlib \
--with-mpi-f90module-visibility=0
make all
- name: PETSc - Install (macOS)
if: contains( matrix.os, 'macos')
run: |
cd petsc-3.16.0
./configure --with-fc=gfortran-${GCC_V} --with-cc=gcc-${GCC_V} --with-cxx=g++-${GCC_V} \
--download-openmpi --download-fftw --download-hdf5 --download-hdf5-fortran-bindings=1 --download-zlib
make all
- name: DAMASK - Compile
run: |
cmake -B build/grid -DDAMASK_SOLVER=grid -DCMAKE_INSTALL_PREFIX=${PWD}
cmake --build build/grid --parallel
cmake --install build/grid
cmake -B build/mesh -DDAMASK_SOLVER=mesh -DCMAKE_INSTALL_PREFIX=${PWD}
cmake --build build/mesh --parallel
cmake --install build/mesh
- name: DAMASK - Run
run: |
./bin/DAMASK_grid -l tensionX.yaml -g 20grains16x16x16.vti -w examples/grid
intel:
runs-on: [ubuntu-latest]
strategy:
matrix:
intel_v: [classic, llvm] # Variant of Intel compilers
env:
INTEL_V: ${{ matrix.intel_v }}
steps:
- uses: actions/checkout@v2
- name: Intel - Install
run: |
wget -q https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2023.PUB
sudo apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS-2023.PUB
rm GPG-PUB-KEY-INTEL-SW-PRODUCTS-2023.PUB
echo "deb https://apt.repos.intel.com/oneapi all main" | sudo tee /etc/apt/sources.list.d/oneAPI.list
sudo apt-get update
sudo apt-get install \
intel-basekit \
intel-oneapi-compiler-dpcpp-cpp-and-cpp-classic intel-oneapi-compiler-fortran \
intel-oneapi-openmp intel-oneapi-mkl-devel
source /opt/intel/oneapi/setvars.sh
printenv >> $GITHUB_ENV
- name: PETSc - Cache download
id: petsc-download
uses: actions/cache@v2
with:
path: download
key: petsc-3.16.0.tar.gz
- name: PETSc - Download
if: steps.petsc-download.outputs.cache-hit != 'true'
run: |
wget -q https://ftp.mcs.anl.gov/pub/petsc/release-snapshots/petsc-3.16.0.tar.gz -P download
- name: PETSc - Prepare
run: |
tar -xf download/petsc-3.16.0.tar.gz -C .
export PETSC_DIR=${PWD}/petsc-3.16.0
export PETSC_ARCH=intel-${INTEL_V}
printenv >> $GITHUB_ENV
- name: PETSc - Cache installation
id: petsc-install
uses: actions/cache@v2
with:
path: petsc-3.16.0
key: petsc-3.16.0-intel-${{ matrix.intel_v }}-${{ hashFiles('**/petscversion.h') }}
- name: PETSc - Install (classic)
if: contains( matrix.intel_v, 'classic')
run: |
cd petsc-3.16.0
./configure --with-fc=mpiifort --with-cc=mpiicc --with-cxx=mpiicpc \
--download-fftw --download-hdf5 --download-hdf5-fortran-bindings=1 --download-zlib
make all
- name: PETSc - Install (LLVM)
if: contains( matrix.intel_v, 'llvm')
run: |
cd petsc-3.16.0
./configure --with-fc=mpiifort --with-cc="mpiicc -cc=icx" --with-cxx="mpiicpc -cxx=icpx" \
--download-fftw --download-hdf5 --download-hdf5-fortran-bindings=1 --download-zlib
make all
- name: DAMASK - Compile
run: |
cmake -B build/grid -DDAMASK_SOLVER=grid -DCMAKE_INSTALL_PREFIX=${PWD}
cmake --build build/grid --parallel
cmake --install build/grid
cmake -B build/mesh -DDAMASK_SOLVER=mesh -DCMAKE_INSTALL_PREFIX=${PWD}
cmake --build build/mesh --parallel
cmake --install build/mesh
- name: DAMASK - Run
run: |
./bin/DAMASK_grid -l tensionX.yaml -g 20grains16x16x16.vti -w examples/grid

54
.github/workflows/Python.yml vendored Normal file
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@ -0,0 +1,54 @@
name: Processing Tools
on: [push]
jobs:
pip:
runs-on: ${{ matrix.os }}
strategy:
matrix:
python-version: ['3.7', '3.8', '3.9'] #, '3.10']
os: [ubuntu-latest, macos-latest]
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install pytest pandas scipy h5py vtk matplotlib pyyaml
- name: Install and run unit tests
run: |
python -m pip install ./python --no-deps -vv --use-feature=in-tree-build
COLUMNS=256 pytest python
apt:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Install pytest
run: |
python -m pip install --upgrade pip
pip install pytest
- name: Install dependencies
run: >
sudo apt-get update &&
sudo apt-get install python3-pip python3-pytest python3-pandas python3-scipy
python3-h5py python3-vtk7 python3-matplotlib python3-yaml -y
- name: Run unit tests
run: |
export PYTHONPATH=${PWD}/python
COLUMNS=256 python -m pytest python

58
.gitlab-ci.yml
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@ -46,29 +46,18 @@ variables:
# Names of module files to load
# ===============================================================================================
# ++++++++++++ Compiler +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
IntelCompiler19_1: "Compiler/Intel/19.1.2 Libraries/IMKL/2020"
GNUCompiler10: "Compiler/GNU/10"
# ------------ Defaults ----------------------------------------------
IntelCompiler: "$IntelCompiler19_1"
GNUCompiler: "$GNUCompiler10"
IntelCompiler: "Compiler/Intel/19.1.2 Libraries/IMKL/2020"
GNUCompiler: "Compiler/GNU/10"
# ++++++++++++ MPI ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
IMPI2020Intel19_1: "MPI/Intel/19.1.2/IntelMPI/2019"
OMPI4_0GNU10: "MPI/GNU/10/OpenMPI/4.0.5"
# ------------ Defaults ----------------------------------------------
MPI_Intel: "$IMPI2020Intel19_1"
MPI_GNU: "$OMPI4_0GNU10"
MPI_Intel: "MPI/Intel/19.1.2/IntelMPI/2019"
MPI_GNU: "MPI/GNU/10/OpenMPI/4.1.1"
# ++++++++++++ PETSc ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
PETSc3_14_2IMPI2020Intel19_1: "Libraries/PETSc/3.14.2/Intel-19.1.2-IntelMPI-2019"
PETSc3_14_2OMPI4_0GNU10: "Libraries/PETSc/3.14.2/GNU-10-OpenMPI-4.0.5"
# ------------ Defaults ----------------------------------------------
PETSc_Intel: "$PETSc3_14_2IMPI2020Intel19_1"
PETSc_GNU: "$PETSc3_14_2OMPI4_0GNU10"
# ++++++++++++ commercial FEM ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
MSC2021: "FEM/MSC/2021.2"
# ------------ Defaults ----------------------------------------------
MSC: "$MSC2021"
IntelMarc: "$IntelCompiler19_1"
HDF5Marc: "HDF5/1.12.0/Intel-19.1.2"
PETSc_Intel: "Libraries/PETSc/3.16.0/Intel-19.1.2-IntelMPI-2019"
PETSc_GNU: "Libraries/PETSc/3.16.0/GNU-10-OpenMPI-4.1.1"
# ++++++++++++ MSC Marc +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
MSC: "FEM/MSC/2021.2"
IntelMarc: "Compiler/Intel/19.1.2 Libraries/IMKL/2020"
HDF5Marc: "HDF5/1.12.1/Intel-19.1.2"
###################################################################################################
checkout:
@ -102,13 +91,6 @@ processing:
- master
- release
###################################################################################################
preprocessing_deprecated:
stage: python
script: PreProcessing/test.py
except:
- master
- release
###################################################################################################
compile_grid_Intel:
@ -216,7 +198,7 @@ SpectralRuntime:
- cd $LOCAL_HOME/performance # location of old results
- git checkout . # undo any changes (i.e. run time data from non-development branch)
- cd $DAMASKROOT/PRIVATE/testing
- SpectralAll_runtime/test.py -d $LOCAL_HOME/performance
- ./runtime.py --results ${LOCAL_HOME}/performance --damask_root ${DAMASKROOT} --tag ${CI_COMMIT_SHA}
except:
- master
- release
@ -226,16 +208,7 @@ source_distribution:
stage: deploy
script:
- cd $(mktemp -d)
- $DAMASKROOT/PRIVATE/releasing/deploy.sh $DAMASKROOT $CI_COMMIT_SHA
except:
- master
- release
library_documentation:
stage: deploy
script:
- cd $DAMASKROOT/PRIVATE/documenting/sphinx
- make html
- $DAMASKROOT/PRIVATE/releasing/tar.xz/create.sh $DAMASKROOT $CI_COMMIT_SHA
except:
- master
- release
@ -246,9 +219,7 @@ backup_runtime_measurement:
script:
- cd $LOCAL_HOME/performance # location of new runtime results
- git commit -am"${CI_PIPELINE_ID}_${CI_COMMIT_SHA}"
- mkdir $BACKUP/${CI_PIPELINE_ID}_${CI_COMMIT_SHA}
- mv $LOCAL_HOME/performance/time.png $BACKUP/${CI_PIPELINE_ID}_${CI_COMMIT_SHA}/
- mv $LOCAL_HOME/performance/memory.png $BACKUP/${CI_PIPELINE_ID}_${CI_COMMIT_SHA}/
- git push
only:
- development
@ -259,9 +230,10 @@ merge_into_master:
- cd $DAMASKROOT
- export TESTEDREV=$(git describe) # might be detached from development branch
- echo $TESTEDREV > python/damask/VERSION
- git add python/damask/VERSION
- >
git diff-index --quiet HEAD ||
git commit python/damask/VERSION -m "[skip ci] updated version information after successful test of $TESTEDREV"
git commit -m "[skip ci] updated version information after successful test of $TESTEDREV"
- export UPDATEDREV=$(git describe) # tested state + 1 commit
- git checkout master
- git merge $UPDATEDREV -s recursive -X ours # conflicts occur only for inconsistent state

2
.gitmodules vendored
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@ -1,5 +1,5 @@
[submodule "PRIVATE"]
path = PRIVATE
url = ../PRIVATE.git
branch = master
branch = development
shallow = true

167
CMakeLists.txt
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@ -1,116 +1,117 @@
cmake_minimum_required (VERSION 3.10.0)
include (FindPkgConfig REQUIRED)
cmake_minimum_required(VERSION 3.12.0)
include(FindPkgConfig REQUIRED)
if (DEFINED ENV{PETSC_DIR})
message ("PETSC_DIR:\n$ENV{PETSC_DIR}\n")
else ()
message (FATAL_ERROR "PETSc location (PETSC_DIR) is not defined")
endif ()
if(DEFINED ENV{PETSC_DIR})
message("PETSC_DIR:\n$ENV{PETSC_DIR}\n")
else()
message(FATAL_ERROR "PETSc location (PETSC_DIR) is not defined")
endif()
# Dummy project to determine compiler names and version
project (Prerequisites LANGUAGES)
project(Prerequisites LANGUAGES)
set(ENV{PKG_CONFIG_PATH} "$ENV{PETSC_DIR}/$ENV{PETSC_ARCH}/lib/pkgconfig")
pkg_check_modules (PETSC REQUIRED PETSc>=3.12.0 PETSc<3.16.0)
pkg_get_variable (CMAKE_Fortran_COMPILER PETSc fcompiler)
pkg_get_variable (CMAKE_C_COMPILER PETSc ccompiler)
pkg_check_modules(PETSC REQUIRED PETSc>=3.12.0 PETSc<3.17.0)
pkg_get_variable(CMAKE_Fortran_COMPILER PETSc fcompiler)
pkg_get_variable(CMAKE_C_COMPILER PETSc ccompiler)
# Solver determines name of project
string(TOUPPER "${DAMASK_SOLVER}" DAMASK_SOLVER)
if (DAMASK_SOLVER STREQUAL "GRID")
project (damask-grid HOMEPAGE_URL https://damask.mpie.de LANGUAGES Fortran C)
elseif (DAMASK_SOLVER STREQUAL "MESH")
project (damask-mesh HOMEPAGE_URL https://damask.mpie.de LANGUAGES Fortran C)
else ()
message (FATAL_ERROR "Invalid solver: DAMASK_SOLVER=${DAMASK_SOLVER}")
endif ()
add_definitions ("-D${DAMASK_SOLVER}")
if(DAMASK_SOLVER STREQUAL "GRID")
project(damask-grid HOMEPAGE_URL https://damask.mpie.de LANGUAGES Fortran C)
elseif(DAMASK_SOLVER STREQUAL "MESH")
project(damask-mesh HOMEPAGE_URL https://damask.mpie.de LANGUAGES Fortran C)
else()
message(FATAL_ERROR "Invalid solver: DAMASK_SOLVER=${DAMASK_SOLVER}")
endif()
add_definitions("-D${DAMASK_SOLVER}")
file (STRINGS ${PROJECT_SOURCE_DIR}/VERSION DAMASK_VERSION)
file(STRINGS ${PROJECT_SOURCE_DIR}/VERSION DAMASK_VERSION)
message ("\nBuilding ${CMAKE_PROJECT_NAME} ${DAMASK_VERSION}\n")
message("\nBuilding ${CMAKE_PROJECT_NAME} ${DAMASK_VERSION}\n")
add_definitions (-DPETSC)
add_definitions (-DDAMASKVERSION="${DAMASK_VERSION}")
add_definitions(-DPETSC)
add_definitions(-DDAMASKVERSION="${DAMASK_VERSION}")
add_definitions(-DCMAKE_SYSTEM="${CMAKE_SYSTEM}")
if (CMAKE_BUILD_TYPE STREQUAL "")
set (CMAKE_BUILD_TYPE "RELEASE")
endif ()
if(CMAKE_BUILD_TYPE STREQUAL "")
set(CMAKE_BUILD_TYPE "RELEASE")
endif()
string(TOUPPER "${CMAKE_BUILD_TYPE}" CMAKE_BUILD_TYPE)
# Predefined sets for OPTIMIZATION/OPENMP based on BUILD_TYPE
if (CMAKE_BUILD_TYPE STREQUAL "DEBUG" OR CMAKE_BUILD_TYPE STREQUAL "SYNTAXONLY")
set (DEBUG_FLAGS "${DEBUG_FLAGS} -DDEBUG")
set (PARALLEL "OFF")
set (OPTI "OFF")
elseif (CMAKE_BUILD_TYPE STREQUAL "RELEASE")
set (PARALLEL "ON")
set (OPTI "DEFENSIVE")
elseif (CMAKE_BUILD_TYPE STREQUAL "DEBUGRELEASE")
set (DEBUG_FLAGS "${DEBUG_FLAGS} -DDEBUG")
set (PARALLEL "ON")
set (OPTI "DEFENSIVE")
elseif (CMAKE_BUILD_TYPE STREQUAL "PERFORMANCE")
set (PARALLEL "ON")
set (OPTI "AGGRESSIVE")
else ()
message (FATAL_ERROR "Invalid build type: CMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE}")
endif ()
if(CMAKE_BUILD_TYPE STREQUAL "DEBUG" OR CMAKE_BUILD_TYPE STREQUAL "SYNTAXONLY")
set(DEBUG_FLAGS "${DEBUG_FLAGS} -DDEBUG")
set(PARALLEL "OFF")
set(OPTI "OFF")
elseif(CMAKE_BUILD_TYPE STREQUAL "RELEASE")
set(PARALLEL "ON")
set(OPTI "DEFENSIVE")
elseif(CMAKE_BUILD_TYPE STREQUAL "DEBUGRELEASE")
set(DEBUG_FLAGS "${DEBUG_FLAGS} -DDEBUG")
set(PARALLEL "ON")
set(OPTI "DEFENSIVE")
elseif(CMAKE_BUILD_TYPE STREQUAL "PERFORMANCE")
set(PARALLEL "ON")
set(OPTI "AGGRESSIVE")
else()
message(FATAL_ERROR "Invalid build type: CMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE}")
endif()
# $OPTIMIZATION takes precedence over $BUILD_TYPE defaults
if (OPTIMIZATION STREQUAL "" OR NOT DEFINED OPTIMIZATION)
set (OPTIMIZATION "${OPTI}")
else ()
set (OPTIMIZATION "${OPTIMIZATION}")
endif ()
if(OPTIMIZATION STREQUAL "" OR NOT DEFINED OPTIMIZATION)
set(OPTIMIZATION "${OPTI}")
else()
set(OPTIMIZATION "${OPTIMIZATION}")
endif()
# $OPENMP takes precedence over $BUILD_TYPE defaults
if (OPENMP STREQUAL "" OR NOT DEFINED OPENMP)
set (OPENMP "${PARALLEL}")
else ()
if(OPENMP STREQUAL "" OR NOT DEFINED OPENMP)
set(OPENMP "${PARALLEL}")
else()
set(OPENMP "${OPENMP}")
endif ()
endif()
# syntax check only (mainly for pre-receive hook)
if (CMAKE_BUILD_TYPE STREQUAL "SYNTAXONLY")
set (BUILDCMD_POST "${BUILDCMD_POST} -fsyntax-only")
endif ()
# syntax check only(mainly for pre-receive hook)
if(CMAKE_BUILD_TYPE STREQUAL "SYNTAXONLY")
set(BUILDCMD_POST "${BUILDCMD_POST} -fsyntax-only")
endif()
list(APPEND CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/cmake)
if (CMAKE_Fortran_COMPILER_ID STREQUAL "Intel")
include (Compiler-Intel)
include(Compiler-Intel)
elseif(CMAKE_Fortran_COMPILER_ID STREQUAL "GNU")
include (Compiler-GNU)
else ()
message (FATAL_ERROR "Compiler type (CMAKE_Fortran_COMPILER_ID) not recognized")
endif ()
include(Compiler-GNU)
else()
message(FATAL_ERROR "Compiler type(CMAKE_Fortran_COMPILER_ID) not recognized")
endif()
file (STRINGS "$ENV{PETSC_DIR}/$ENV{PETSC_ARCH}/lib/petsc/conf/petscvariables" PETSC_EXTERNAL_LIB REGEX "PETSC_WITH_EXTERNAL_LIB = .*$?")
string (REGEX MATCHALL "-[lLW]([^\" ]+)" PETSC_EXTERNAL_LIB "${PETSC_EXTERNAL_LIB}")
list (REMOVE_DUPLICATES PETSC_EXTERNAL_LIB)
string (REPLACE ";" " " PETSC_EXTERNAL_LIB "${PETSC_EXTERNAL_LIB}")
message ("PETSC_EXTERNAL_LIB:\n${PETSC_EXTERNAL_LIB}\n")
file(STRINGS "$ENV{PETSC_DIR}/$ENV{PETSC_ARCH}/lib/petsc/conf/petscvariables" PETSC_EXTERNAL_LIB REGEX "PETSC_WITH_EXTERNAL_LIB = .*$?")
string(REGEX MATCHALL "-[lLW]([^\" ]+)" PETSC_EXTERNAL_LIB "${PETSC_EXTERNAL_LIB}")
list(REMOVE_DUPLICATES PETSC_EXTERNAL_LIB)
string(REPLACE ";" " " PETSC_EXTERNAL_LIB "${PETSC_EXTERNAL_LIB}")
message("PETSC_EXTERNAL_LIB:\n${PETSC_EXTERNAL_LIB}\n")
file (STRINGS "$ENV{PETSC_DIR}/$ENV{PETSC_ARCH}/lib/petsc/conf/petscvariables" PETSC_INCLUDES REGEX "PETSC_FC_INCLUDES = .*$?")
string (REGEX MATCHALL "-I([^\" ]+)" PETSC_INCLUDES "${PETSC_INCLUDES}")
list (REMOVE_DUPLICATES PETSC_INCLUDES)
string (REPLACE ";" " " PETSC_INCLUDES "${PETSC_INCLUDES}")
message ("PETSC_INCLUDES:\n${PETSC_INCLUDES}\n")
file(STRINGS "$ENV{PETSC_DIR}/$ENV{PETSC_ARCH}/lib/petsc/conf/petscvariables" PETSC_INCLUDES REGEX "PETSC_FC_INCLUDES = .*$?")
string(REGEX MATCHALL "-I([^\" ]+)" PETSC_INCLUDES "${PETSC_INCLUDES}")
list(REMOVE_DUPLICATES PETSC_INCLUDES)
string(REPLACE ";" " " PETSC_INCLUDES "${PETSC_INCLUDES}")
message("PETSC_INCLUDES:\n${PETSC_INCLUDES}\n")
set (CMAKE_Fortran_FLAGS_${CMAKE_BUILD_TYPE} "${BUILDCMD_PRE} ${OPENMP_FLAGS} ${STANDARD_CHECK} ${OPTIMIZATION_FLAGS} ${COMPILE_FLAGS} ${PRECISION_FLAGS}")
set (CMAKE_Fortran_LINK_EXECUTABLE "${BUILDCMD_PRE} ${CMAKE_Fortran_COMPILER} ${OPENMP_FLAGS} ${OPTIMIZATION_FLAGS} ${LINKER_FLAGS}")
set(CMAKE_Fortran_FLAGS_${CMAKE_BUILD_TYPE} "${BUILDCMD_PRE} ${OPENMP_FLAGS} ${STANDARD_CHECK} ${OPTIMIZATION_FLAGS} ${COMPILE_FLAGS} ${PRECISION_FLAGS}")
set(CMAKE_Fortran_LINK_EXECUTABLE "${BUILDCMD_PRE} ${CMAKE_Fortran_COMPILER} ${OPENMP_FLAGS} ${OPTIMIZATION_FLAGS} ${LINKER_FLAGS}")
if (CMAKE_BUILD_TYPE STREQUAL "DEBUG")
set (CMAKE_Fortran_FLAGS_${CMAKE_BUILD_TYPE} "${CMAKE_Fortran_FLAGS_${CMAKE_BUILD_TYPE}} ${DEBUG_FLAGS}")
set (CMAKE_Fortran_LINK_EXECUTABLE "${CMAKE_Fortran_LINK_EXECUTABLE} ${DEBUG_FLAGS}")
endif ()
if(CMAKE_BUILD_TYPE STREQUAL "DEBUG")
set(CMAKE_Fortran_FLAGS_${CMAKE_BUILD_TYPE} "${CMAKE_Fortran_FLAGS_${CMAKE_BUILD_TYPE}} ${DEBUG_FLAGS}")
set(CMAKE_Fortran_LINK_EXECUTABLE "${CMAKE_Fortran_LINK_EXECUTABLE} ${DEBUG_FLAGS}")
endif()
set (CMAKE_Fortran_FLAGS_${CMAKE_BUILD_TYPE} "${CMAKE_Fortran_FLAGS_${CMAKE_BUILD_TYPE}} ${PETSC_INCLUDES} ${BUILDCMD_POST}")
set (CMAKE_Fortran_LINK_EXECUTABLE "${CMAKE_Fortran_LINK_EXECUTABLE} <OBJECTS> -o <TARGET> <LINK_LIBRARIES> ${PETSC_EXTERNAL_LIB} -lz ${BUILDCMD_POST}")
set(CMAKE_Fortran_FLAGS_${CMAKE_BUILD_TYPE} "${CMAKE_Fortran_FLAGS_${CMAKE_BUILD_TYPE}} ${PETSC_INCLUDES} ${BUILDCMD_POST}")
set(CMAKE_Fortran_LINK_EXECUTABLE "${CMAKE_Fortran_LINK_EXECUTABLE} <OBJECTS> -o <TARGET> <LINK_LIBRARIES> ${PETSC_EXTERNAL_LIB} -lz ${BUILDCMD_POST}")
message ("Fortran Compiler Flags:\n${CMAKE_Fortran_FLAGS_${CMAKE_BUILD_TYPE}}\n")
message ("C Compiler Flags:\n${CMAKE_C_FLAGS_${CMAKE_BUILD_TYPE}}\n")
message ("Fortran Linker Command:\n${CMAKE_Fortran_LINK_EXECUTABLE}\n")
message("Fortran Compiler Flags:\n${CMAKE_Fortran_FLAGS_${CMAKE_BUILD_TYPE}}\n")
message("C Compiler Flags:\n${CMAKE_C_FLAGS_${CMAKE_BUILD_TYPE}}\n")
message("Fortran Linker Command:\n${CMAKE_Fortran_LINK_EXECUTABLE}\n")
# location of code
add_subdirectory (src)
add_subdirectory(src)

9
DAMASK_prerequisites.sh
View File

@ -74,7 +74,7 @@ echo PETSC_ARCH: $PETSC_ARCH
echo PETSC_DIR: $PETSC_DIR
echo
echo $PETSC_DIR/$PETSC_ARCH/lib:
/s $PETSC_DIR/$PETSC_ARCH/lib
ls $PETSC_DIR/$PETSC_ARCH/lib
echo
echo $PETSC_DIR/$PETSC_ARCH/lib/petsc/conf/petscvariables:
cat $PETSC_DIR/$PETSC_ARCH/lib/petsc/conf/petscvariables
@ -103,11 +103,16 @@ for EXECUTABLE in gcc g++ gfortran ;do
getDetails $EXECUTABLE '--version'
done
firstLevel "Intel Compiler Suite"
firstLevel "Intel Compiler Suite (classic)"
for EXECUTABLE in icc icpc ifort ;do
getDetails $EXECUTABLE '--version'
done
firstLevel "Intel Compiler Suite (LLVM)"
for EXECUTABLE in icx icpx ifx ;do
getDetails $EXECUTABLE '--version'
done
firstLevel "MPI Wrappers"
for EXECUTABLE in mpicc mpiCC mpiicc mpic++ mpiicpc mpicxx mpifort mpiifort mpif90 mpif77; do
getDetails $EXECUTABLE '-show'

2
PRIVATE

@ -1 +1 @@
Subproject commit 9699f20f21f8a5f532c735a1aa9daeba395da94d
Subproject commit fabe69749425e8a7aceb3b7c2758b40d97d8b809

2
README
View File

@ -10,4 +10,4 @@ Germany
damask@mpie.de
https://damask.mpie.de
https://magit1.mpie.de
https://git.damask.mpie.de

6
cmake/Compiler-GNU.cmake
View File

@ -12,9 +12,9 @@ endif ()
if (OPTIMIZATION STREQUAL "OFF")
set (OPTIMIZATION_FLAGS "-O0")
elseif (OPTIMIZATION STREQUAL "DEFENSIVE")
set (OPTIMIZATION_FLAGS "-O2")
set (OPTIMIZATION_FLAGS "-O2 -mtune=generic")
elseif (OPTIMIZATION STREQUAL "AGGRESSIVE")
set (OPTIMIZATION_FLAGS "-O3 -ffast-math -funroll-loops -ftree-vectorize")
set (OPTIMIZATION_FLAGS "-O3 -march=native -ffast-math -funroll-loops -ftree-vectorize")
endif ()
set (STANDARD_CHECK "-std=f2018 -pedantic-errors" )
@ -25,7 +25,7 @@ set (LINKER_FLAGS "${LINKER_FLAGS},-undefined,dynamic_lookup" )
#------------------------------------------------------------------------------------------------
# Fine tuning compilation options
set (COMPILE_FLAGS "${COMPILE_FLAGS} -xf95-cpp-input")
set (COMPILE_FLAGS "${COMPILE_FLAGS} -cpp")
# preprocessor
set (COMPILE_FLAGS "${COMPILE_FLAGS} -fPIC -fPIE")

4
env/DAMASK.sh vendored
View File

@ -60,7 +60,7 @@ if [ ! -z "$PS1" ]; then
echo -n "heap size "
[[ "$(ulimit -d)" == "unlimited" ]] \
&& echo "unlimited" \
|| echo $(python -c \
|| echo $(python3 -c \
"import math; \
size=$(( 1024*$(ulimit -d) )); \
print('{:.4g} {}'.format(size / (1 << ((int(math.log(size,2) / 10) if size else 0) * 10)), \
@ -68,7 +68,7 @@ if [ ! -z "$PS1" ]; then
echo -n "stack size "
[[ "$(ulimit -s)" == "unlimited" ]] \
&& echo "unlimited" \
|| echo $(python -c \
|| echo $(python3 -c \
"import math; \
size=$(( 1024*$(ulimit -s) )); \
print('{:.4g} {}'.format(size / (1 << ((int(math.log(size,2) / 10) if size else 0) * 10)), \

4
env/DAMASK.zsh vendored
View File

@ -50,7 +50,7 @@ if [ ! -z "$PS1" ]; then
echo -n "heap size "
[[ "$(ulimit -d)" == "unlimited" ]] \
&& echo "unlimited" \
|| echo $(python -c \
|| echo $(python3 -c \
"import math; \
size=$(( 1024*$(ulimit -d) )); \
print('{:.4g} {}'.format(size / (1 << ((int(math.log(size,2) / 10) if size else 0) * 10)), \
@ -58,7 +58,7 @@ if [ ! -z "$PS1" ]; then
echo -n "stack size "
[[ "$(ulimit -s)" == "unlimited" ]] \
&& echo "unlimited" \
|| echo $(python -c \
|| echo $(python3 -c \
"import math; \
size=$(( 1024*$(ulimit -s) )); \
print('{:.4g} {}'.format(size / (1 << ((int(math.log(size,2) / 10) if size else 0) * 10)), \

403
examples/Marc/material.yaml
View File

@ -24,8 +24,403 @@ phase:
xi_inf_sl: [63.e+6]
material:
- homogenization: SX
constituents:
- phase: Aluminum
- constituents:
- O: [0.31638628373524325, 0.4606971763404367, -0.25136671882289513, 0.7902357900300152]
phase: Aluminum
v: 1.0
O: [0.9330127018922194, 0.25, 0.06698729810778066, 0.25]
homogenization: SX
- constituents:
- O: [0.17926942151539643, -0.8129164299504208, -0.5453207208299451, -0.09825814907531387]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.11156578191572807, -0.4904242197947781, -0.8051447086471791, 0.3142915192646224]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.050875167730042026, -0.4676541613791777, -0.3231762099798638, -0.8211385022980162]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.5736388730744205, 0.030011807121272376, 0.1793738934298104, -0.7986630961094017]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.3524596363123286, 0.8260984090345517, 0.4361208241824434, 0.05596650851705724]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.1475195192105493, -0.2681290123533707, -0.8885681859138441, -0.3417475722928759]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.3878621882257487, -0.4133490094014299, -0.5962575110690821, 0.5684914246189594]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.44765430421636465, 0.1688301032261743, 0.5590033642770855, 0.6772128608407416]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.3154783988579777, -0.893128078628195, 0.126738882437621, 0.294504449369408]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.01177697706652547, -0.8423157700616575, 0.4660610852557732, -0.2704672089677829]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.6023412506865766, 0.33897759335409144, -0.587639839755177, 0.42066450724741294]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.1457746940340264, 0.33010317541439926, 0.7204157567665017, 0.592269169857055]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.10885124011262147, 0.38223867611365064, -0.5398450127934588, -0.7420325896959369]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.3329465044039982, 0.005520408719519113, 0.4218135102429913, 0.843320527954356]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.2773927866814888, 0.282254093261412, -0.9094550709020325, -0.12758268983226237]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.22508894523834683, 0.3481870269276267, -0.6119961977184769, -0.673469683793499]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.7972172843203117, -0.42474780085647684, -0.2632560619322889, 0.3387183979420616]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.1856727896017474, 0.5407410320424911, 0.8064864929236231, 0.15067942194898976]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.35572128347826554, -0.21063165012009927, 0.7164748021511587, -0.561925737380588]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.951689791582057, -0.18424932026485139, 0.24330606914616992, 0.03377699360630425]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.7518830912041409, -0.6350086418080308, 0.03666967302842633, -0.17346808660504054]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.45893176203555247, -0.10107069709110554, -0.8532524342056044, -0.22611199770616278]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.6863555826979106, 0.7132418012703317, -0.12068837363804946, -0.07507638436064179]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.5031196491913161, 0.7534072343296819, -0.418000862383123, 0.0672565008327974]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.5354367280219723, 0.1489275079865293, -0.5066200327507001, 0.6591390218047527]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.7481103019200436, -0.6384221488364733, 0.14256832672505068, -0.11145585785834745]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.02565565294273664, 0.5032076562445432, -0.10524431346049941, -0.8573490984734187]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.09677483527453862, 0.42211465960588607, 0.39550590793620377, -0.8099561236208737]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.5682732488475628, -0.018709507415836685, 0.5596636589678777, 0.6029030252098423]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.520651625785196, 0.5331055583395244, -0.1753591314180096, 0.6434046341634921]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.7323990700263593, 0.5135195038892626, -0.28947480564659256, -0.34072519461542217]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.2379144266672964, 0.9451799147482833, -0.022386636015155, 0.2225544716870999]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.6929401940723844, 0.6921675787458842, 0.04806193711709397, 0.196030560302569]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.114679536930033, -0.02786128070118354, -0.2458076367959361, -0.9621075607955694]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.5536359330028813, 0.3398797644491804, 0.6552731815916284, -0.3854686198548249]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.9501825140749718, -0.17348508997627773, -0.023693401768133945, 0.2578657329207251]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.5269902873788485, -0.38600076480335854, 0.7335400729523406, -0.18762624537269798]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.16353281877366127, -0.8502634877258836, 0.2921682908502614, -0.4061363175656595]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.2506727462997232, 0.38078481221063915, -0.8812340677720474, -0.12487040822466101]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.53797656304294, 0.04453446570800863, -0.73466834243862, -0.41092618023082744]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.5147765687773858, -0.012009003671292302, 0.8506194553313438, -0.10633630744205957]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.45770418863630163, 0.46122438992768267, -0.5413625109006552, 0.5335780820385708]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.12028049877433303, 0.5509971760365859, 0.5424247126754088, 0.6226637493007807]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.1208751835697386, -0.11646202949704858, 0.1842663733100575, -0.9684377570859003]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.24961872240151486, 0.29610154171987574, -0.885460753706652, 0.2568533123457741]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.4494732523235404, 0.8130366919200476, -0.22342614248113637, -0.2950015116798619]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.3566054427707518, 0.6009999195769142, 0.6204413194609187, 0.35592727341468655]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.041340362458678996, -0.7766310224212297, -0.446615292586641, 0.4423460295656439]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.3143906305984617, 0.637462215667549, -0.06250872515926072, -0.7006376483369167]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.15960096982054908, 0.0154505822997579, -0.6938445646590042, 0.7020459600568152]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.10937013835716297, 0.005361991476876583, 0.07892487169799395, -0.9908482661389645]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.5566919673747123, 0.12234937037008195, 0.03295758799282205, 0.8209984667611823]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.03242357741517866, -0.1003019572329824, -0.25727891603352054, -0.9605705535604615]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.07439180141351488, 0.222039714860086, 0.9710557663706901, 0.04706297382800665]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.386406745139845, -0.3485065110202708, 0.0213726326755233, -0.8536839284298527]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.9148730990764601, 0.0859699947503276, -0.2653710064737939, 0.29188114278237975]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.05351534255347124, -0.47484306303499174, -0.4424245873225889, -0.7588943655946909]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.1850990827256794, -0.7850365894615515, 0.5790701003651098, 0.11888524569444774]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.2293488176462691, 0.8155102586104775, 0.36252844203460916, -0.3884781418063178]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.6824605981608404, -0.07237666863890763, 0.6154543161215582, 0.38758887311431783]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.7240310183899645, -0.1492281437355668, -0.5793271457602446, 0.3433512832533411]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.4130306435878869, -0.08991141120131982, -0.8934593257803132, 0.15182904455126872]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.9217038188689652, -0.2551303946186847, 0.2760910380891145, 0.09562578475994342]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.49248590418849286, 0.7555385277692129, 0.01782522408264428, -0.4316264920256593]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.288763491302084, 0.26595000602129804, -0.8721581902166229, 0.29193549223478765]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.18741690177717063, -0.959586229086916, -0.01605960190298382, -0.2093114021302156]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.6141655879532604, 0.44351951295059505, 0.35530824864623534, 0.5475829806066271]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.2814752417920179, 0.7638077896809081, -0.5255180392616715, 0.24738661865884956]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.16603578951305883, -0.6913575628365758, -0.6767106315334661, -0.1911009107226411]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.7317089905438434, -0.4610621713555634, -0.01149547471101715, -0.5018879171322728]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.12911750380868442, -0.775968622433847, -0.5524437669202766, -0.27569412688569794]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.18347252569039887, -0.3000323311682173, -0.9120086722006003, -0.21108911483411225]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.2453327661435727, -0.041601186144862225, -0.967732952958631, 0.039675016391321906]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.9885220121542625, 0.08409037295425872, -0.06115390693360882, -0.1096049284004023]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.3506668690363713, 0.8300197131399097, 0.3314704911076744, -0.2796915019878287]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.43424700094705143, -0.6863040633023977, -0.3990882505417852, -0.4256111407642043]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.09516090822469872, -0.09694359326006573, 0.7244026181255996, -0.6758603318174947]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.6299976256081414, -0.6188326478138776, 0.4105304204739873, 0.22718697056217957]
phase: Aluminum
v: 1.0
homogenization: SX
- constituents:
- O: [0.1624065072613073, -0.6001819140771016, 0.5096769212668724, -0.5946723739521216]
phase: Aluminum
v: 1.0
homogenization: SX

829
examples/Marc/sheet_r-value.dat → examples/Marc/r-value_texture.dat
View File

@ -1,5 +1,5 @@
title r-value
$....MARC input file produced by Marc Mentat 2019 (64bit)
title R-Wert
$....MARC input file produced by Marc Mentat 2021.2 (64bit)
$...................................
$....input file using extended precision
extended
@ -7,11 +7,11 @@ $...................................
sizing 0 80 165 0
alloc 25
elements 7
version 14 1 0 1
version 15 1 0 1
table 0 0 2 1 1 0 0 1
processor 1 1 1 0
$no list
large stra 2 1 0 0 0 0 0
large stra 2 1 0 0 0 0 0 0
all points
no echo 1 2 3 4
state vars 2
@ -269,8 +269,6 @@ coordinates
163 3.999999999999999+1 9.999999999999996+0-5.000000000000000-1
164 3.999999999999999+1 9.999999999999996+0 0.000000000000000+0
165 3.999999999999999+1 9.999999999999996+0 5.000000000000000-1
define element set DAMASK_elements
1 to 80
define node set unten_y_nodes
2 5 8 11 14
define node set oben_y_nodes
@ -283,6 +281,166 @@ define node set unten_z_nodes
7 to 9
define node set oben_z_nodes
157 to 159
define element set material0_elements
1
define element set material1_elements
2
define element set material2_elements
3
define element set material3_elements
4
define element set material4_elements
5
define element set material5_elements
6
define element set material6_elements
7
define element set material7_elements
8
define element set material8_elements
9
define element set material9_elements
10
define element set material10_elements
11
define element set material11_elements
12
define element set material12_elements
13
define element set material13_elements
14
define element set material14_elements
15
define element set material15_elements
16
define element set material16_elements
17
define element set material17_elements
18
define element set material18_elements
19
define element set material19_elements
20
define element set material20_elements
21
define element set material21_elements
22
define element set material22_elements
23
define element set material23_elements
24
define element set material24_elements
25
define element set material25_elements
26
define element set material26_elements
27
define element set material27_elements
28
define element set material28_elements
29
define element set material29_elements
30
define element set material30_elements
31
define element set material31_elements
32
define element set material32_elements
33
define element set material33_elements
34
define element set material34_elements
35
define element set material35_elements
36
define element set material36_elements
37
define element set material37_elements
38
define element set material38_elements
39
define element set material39_elements
40
define element set material40_elements
41
define element set material41_elements
42
define element set material42_elements
43
define element set material43_elements
44
define element set material44_elements
45
define element set material45_elements
46
define element set material46_elements
47
define element set material47_elements
48
define element set material48_elements
49
define element set material49_elements
50
define element set material50_elements
51
define element set material51_elements
52
define element set material52_elements
53
define element set material53_elements
54
define element set material54_elements
55
define element set material55_elements
56
define element set material56_elements
57
define element set material57_elements
58
define element set material58_elements
59
define element set material59_elements
60
define element set material60_elements
61
define element set material61_elements
62
define element set material62_elements
63
define element set material63_elements
64
define element set material64_elements
65
define element set material65_elements
66
define element set material66_elements
67
define element set material67_elements
68
define element set material68_elements
69
define element set material69_elements
70
define element set material70_elements
71
define element set material71_elements
72
define element set material72_elements
73
define element set material73_elements
74
define element set material74_elements
75
define element set material75_elements
76
define element set material76_elements
77
define element set material77_elements
78
define element set material78_elements
79
define element set material79_elements
80
hypoelastic
1 0 1 0 1TKS 0
@ -294,13 +452,13 @@ mat color
1 1 230 0 0
table weg_x
1 1 0 0 2
1 2 2 0 0 2 0 0 2 0 0 2
1 2 2 0 0 2 0 0 2 0 0 2 0 0 0 0
0.000000000000000+0 0.000000000000000+0
2.000000000000000+2 1.600000000000000+1
geometry
0 0 2
1 9 1 230 0 0
r-value-sample
r-wert-probe
0.000000000000000+0 0.000000000000000+0 0.000000000000000+0 0.000000000000000+0 0.000000000000000+0 0.000000000000000+0 0.000000000000000+0
usdata 1
@ -344,20 +502,655 @@ unten_fest_nodes
oben_ziehen_nodes
initial state
2 6 1 0 0 0DAMASK
2 6 1 0 0 0material0
0.000000000000000+0
0
1
DAMASK_elements
loadcase r-value
5
DAMASK
material0_elements
initial state
2 6 1 0 0 0material1
1.000000000000000+0
0
1
material1_elements
initial state
2 6 1 0 0 0material2
2.000000000000000+0
0
1
material2_elements
initial state
2 6 1 0 0 0material3
3.000000000000000+0
0
1
material3_elements
initial state
2 6 1 0 0 0material4
4.000000000000000+0
0
1
material4_elements
initial state
2 6 1 0 0 0material5
5.000000000000000+0
0
1
material5_elements
initial state
2 6 1 0 0 0material6
6.000000000000000+0
0
1
material6_elements
initial state
2 6 1 0 0 0material7
7.000000000000000+0
0
1
material7_elements
initial state
2 6 1 0 0 0material8
8.000000000000000+0
0
1
material8_elements
initial state
2 6 1 0 0 0material9
9.000000000000000+0
0
1
material9_elements
initial state
2 6 1 0 0 0material10
10.000000000000000+0
0
1
material10_elements
initial state
2 6 1 0 0 0material11
11.000000000000000+0
0
1
material11_elements
initial state
2 6 1 0 0 0material12
12.000000000000000+0
0
1
material12_elements
initial state
2 6 1 0 0 0material13
13.000000000000000+0
0
1
material13_elements
initial state
2 6 1 0 0 0material14
14.000000000000000+0
0
1
material14_elements
initial state
2 6 1 0 0 0material15
15.000000000000000+0
0
1
material15_elements
initial state
2 6 1 0 0 0material16
16.000000000000000+0
0
1
material16_elements
initial state
2 6 1 0 0 0material17
17.000000000000000+0
0
1
material17_elements
initial state
2 6 1 0 0 0material18
18.000000000000000+0
0
1
material18_elements
initial state
2 6 1 0 0 0material19
19.000000000000000+0
0
1
material19_elements
initial state
2 6 1 0 0 0material20
20.000000000000000+0
0
1
material20_elements
initial state
2 6 1 0 0 0material21
21.000000000000000+0
0
1
material21_elements
initial state
2 6 1 0 0 0material22
22.000000000000000+0
0
1
material22_elements
initial state
2 6 1 0 0 0material23
23.000000000000000+0
0
1
material23_elements
initial state
2 6 1 0 0 0material24
24.000000000000000+0
0
1
material24_elements
initial state
2 6 1 0 0 0material25
25.000000000000000+0
0
1
material25_elements
initial state
2 6 1 0 0 0material26
26.000000000000000+0
0
1
material26_elements
initial state
2 6 1 0 0 0material27
27.000000000000000+0
0
1
material27_elements
initial state
2 6 1 0 0 0material28
28.000000000000000+0
0
1
material28_elements
initial state
2 6 1 0 0 0material29
29.000000000000000+0
0
1
material29_elements
initial state
2 6 1 0 0 0material30
30.000000000000000+0
0
1
material30_elements
initial state
2 6 1 0 0 0material31
31.000000000000000+0
0
1
material31_elements
initial state
2 6 1 0 0 0material32
32.000000000000000+0
0
1
material32_elements
initial state
2 6 1 0 0 0material33
33.000000000000000+0
0
1
material33_elements
initial state
2 6 1 0 0 0material34
34.000000000000000+0
0
1
material34_elements
initial state
2 6 1 0 0 0material35
35.000000000000000+0
0
1
material35_elements
initial state
2 6 1 0 0 0material36
36.000000000000000+0
0
1
material36_elements
initial state
2 6 1 0 0 0material37
37.000000000000000+0
0
1
material37_elements
initial state
2 6 1 0 0 0material38
38.000000000000000+0
0
1
material38_elements
initial state
2 6 1 0 0 0material39
39.000000000000000+0
0
1
material39_elements
initial state
2 6 1 0 0 0material40
40.000000000000000+0
0
1
material40_elements
initial state
2 6 1 0 0 0material41
41.000000000000000+0
0
1
material41_elements
initial state
2 6 1 0 0 0material42
42.000000000000000+0
0
1
material42_elements
initial state
2 6 1 0 0 0material43
43.000000000000000+0
0
1
material43_elements
initial state
2 6 1 0 0 0material44
44.000000000000000+0
0
1
material44_elements
initial state
2 6 1 0 0 0material45
45.000000000000000+0
0
1
material45_elements
initial state
2 6 1 0 0 0material46
46.000000000000000+0
0
1
material46_elements
initial state
2 6 1 0 0 0material47
47.000000000000000+0
0
1
material47_elements
initial state
2 6 1 0 0 0material48
48.000000000000000+0
0
1
material48_elements
initial state
2 6 1 0 0 0material49
49.000000000000000+0
0
1
material49_elements
initial state
2 6 1 0 0 0material50
50.000000000000000+0
0
1
material50_elements
initial state
2 6 1 0 0 0material51
51.000000000000000+0
0
1
material51_elements
initial state
2 6 1 0 0 0material52
52.000000000000000+0
0
1
material52_elements
initial state
2 6 1 0 0 0material53
53.000000000000000+0
0
1
material53_elements
initial state
2 6 1 0 0 0material54
54.000000000000000+0
0
1
material54_elements
initial state
2 6 1 0 0 0material55
55.000000000000000+0
0
1
material55_elements
initial state
2 6 1 0 0 0material56
56.000000000000000+0
0
1
material56_elements
initial state
2 6 1 0 0 0material57
57.000000000000000+0
0
1
material57_elements
initial state
2 6 1 0 0 0material58
58.000000000000000+0
0
1
material58_elements
initial state
2 6 1 0 0 0material59
59.000000000000000+0
0
1
material59_elements
initial state
2 6 1 0 0 0material60
60.000000000000000+0
0
1
material60_elements
initial state
2 6 1 0 0 0material61
61.000000000000000+0
0
1
material61_elements
initial state
2 6 1 0 0 0material62
62.000000000000000+0
0
1
material62_elements
initial state
2 6 1 0 0 0material63
63.000000000000000+0
0
1
material63_elements
initial state
2 6 1 0 0 0material64
64.000000000000000+0
0
1
material64_elements
initial state
2 6 1 0 0 0material65
65.000000000000000+0
0
1
material65_elements
initial state
2 6 1 0 0 0material66
66.000000000000000+0
0
1
material66_elements
initial state
2 6 1 0 0 0material67
67.000000000000000+0
0
1
material67_elements
initial state
2 6 1 0 0 0material68
68.000000000000000+0
0
1
material68_elements
initial state
2 6 1 0 0 0material69
69.000000000000000+0
0
1
material69_elements
initial state
2 6 1 0 0 0material70
70.000000000000000+0
0
1
material70_elements
initial state
2 6 1 0 0 0material71
71.000000000000000+0
0
1
material71_elements
initial state
2 6 1 0 0 0material72
72.000000000000000+0
0
1
material72_elements
initial state
2 6 1 0 0 0material73
73.000000000000000+0
0
1
material73_elements
initial state
2 6 1 0 0 0material74
74.000000000000000+0
0
1
material74_elements
initial state
2 6 1 0 0 0material75
75.000000000000000+0
0
1
material75_elements
initial state
2 6 1 0 0 0material76
76.000000000000000+0
0
1
material76_elements
initial state
2 6 1 0 0 0material77
77.000000000000000+0
0
1
material77_elements
initial state
2 6 1 0 0 0material78
78.000000000000000+0
0
1
material78_elements
initial state
2 6 1 0 0 0material79
79.000000000000000+0
0
1
material79_elements
loadcase R-Wert
83
material0
material1
material2
material3
material4
material5
material6
material7
material8
material9
material10
material11
material12
material13
material14
material15
material16
material17
material18
material19
material20
material21
material22
material23
material24
material25
material26
material27
material28
material29
material30
material31
material32
material33
material34
material35
material36
material37
material38
material39
material40
material41
material42
material43
material44
material45
material46
material47
material48
material49
material50
material51
material52
material53
material54
material55
material56
material57
material58
material59
material60
material61
material62
material63
material64
material65
material66
material67
material68
material69
material70
material71
material72
material73
material74
material75
material76
material77
material78
material79
unten_z
unten_y
unten_fest
no print
post
6 16 17 0 0 19 20 0 1 0 0 0 0 0 0 0
3 16 17 0 0 19 20 0 1 0 0 0 0 0 0 0
17 0
301 0
311 0
parameters
1.000000000000000+0 1.000000000000000+9 1.000000000000000+2 1.000000000000000+6 2.500000000000000-1 5.000000000000000-1 1.500000000000000+0-5.000000000000000-1
8.625000000000000+0 2.000000000000000+1 1.000000000000000-4 1.000000000000000-6 1.000000000000000+0 1.000000000000000-4
@ -367,9 +1160,9 @@ parameters
3.000000000000000+0 4.000000000000000-1
end option
$...................
$....start of loadcase Tensile
title Tensile
loadcase Tensile
$....start of loadcase Ziehen
title Ziehen
loadcase Ziehen
6
unten_z
unten_y
@ -392,5 +1185,5 @@ auto load
time step
2.000000000000000+0
continue
$....end of loadcase Tensile
$....end of loadcase Ziehen
$...................

5
examples/config/phase/mechanical/plastic/phenopowerlaw_Al.yaml
View File

@ -4,6 +4,9 @@ references:
Acta Metallurgica 8(3):187-199, 1960,
https://doi.org/10.1016/0001-6160(60)90127-9,
fitted from Fig. 5
- U.F. Kocks,
Metallurgical and Materials Transactions B 1:1121–1143, 1970,
https://doi.org/10.1007/BF02900224
output: [xi_sl, gamma_sl]
N_sl: [12]
n_sl: 20
@ -12,4 +15,4 @@ h_0_sl-sl: 1.7e+8
xi_0_sl: [5.0e+6]
xi_inf_sl: [37.5e+6]
h_sl-sl: [1, 1, 1.4, 1.4, 1.4, 1.4, 1.4]
dot_gamma_0_sl: 4.5e-3
dot_gamma_0_sl: 7.5e-5

3
examples/config/phase/mechanical/plastic/phenopowerlaw_Au.yaml
View File

@ -6,6 +6,9 @@ references:
- I. Kovács and G.Vörös,
International Journal of Plasticity 12:35-43, 1996,
https://doi.org/10.1016/S0749-6419(95)00043-7
- U.F. Kocks,
Metallurgical and Materials Transactions B 1:1121–1143, 1970,
https://doi.org/10.1007/BF02900224
output: [xi_sl, gamma_sl]
N_sl: [12]
n_sl: 83.3

3
examples/config/phase/mechanical/plastic/phenopowerlaw_Cu.yaml
View File

@ -4,6 +4,9 @@ references:
Transactions of the Japan Institute of Metals 16(10):629-640, 1975,
https://doi.org/10.2320/matertrans1960.16.629,
fitted from Fig. 3b
- U.F. Kocks,
Metallurgical and Materials Transactions B 1:1121–1143, 1970,
https://doi.org/10.1007/BF02900224
output: [xi_sl, gamma_sl]
N_sl: [12]
n_sl: 20

3
examples/config/phase/mechanical/plastic/phenopowerlaw_DP-steel-ferrite.yaml
View File

@ -3,6 +3,9 @@ references:
- C.C. Tasan et al.,
Acta Materialia 81:386-400, 2014,
https://doi.org/10.1016/j.actamat.2014.07.071
- U.F. Kocks,
Metallurgical and Materials Transactions B 1:1121–1143, 1970,
https://doi.org/10.1007/BF02900224
output: [xi_sl, gamma_sl]
N_sl: [12, 12]
n_sl: 20

BIN
img/DAMASK_Favicon.ico
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117
processing/legacy/addSchmidfactors.py vendored
View File

@ -1,117 +0,0 @@
#!/usr/bin/env python3
import os
import sys
from io import StringIO
from optparse import OptionParser
import numpy as np
import damask
scriptName = os.path.splitext(os.path.basename(__file__))[0]
scriptID = ' '.join([scriptName,damask.version])
slipSystems = {
'fcc': damask.lattice.kinematics['cF']['slip'][:12],
'bcc': damask.lattice.kinematics['cI']['slip'],
'hex': damask.lattice.kinematics['hP']['slip'],
}
# --------------------------------------------------------------------
# MAIN
# --------------------------------------------------------------------
parser = OptionParser(usage='%prog options [ASCIItable(s)]', description = """
Add columns listing Schmid factors (and optional trace vector of selected system) for given Euler angles.
""", version = scriptID)
lattice_choices = list(slipSystems.keys())
parser.add_option('-l',
'--lattice',
dest = 'lattice', type = 'choice', choices = lattice_choices, metavar='string',
help = 'type of lattice structure [%default] {}'.format(lattice_choices))
parser.add_option('--covera',
dest = 'CoverA', type = 'float', metavar = 'float',
help = 'C over A ratio for hexagonal systems [%default]')
parser.add_option('-f',
'--force',
dest = 'force',
type = 'float', nargs = 3, metavar = 'float float float',
help = 'force direction in lab frame [%default]')
parser.add_option('-n',
'--normal',
dest = 'normal',
type = 'float', nargs = 3, metavar = 'float float float',
help = 'stress plane normal in lab frame, per default perpendicular to the force')
parser.add_option('-o',
'--orientation',
dest = 'quaternion',
metavar = 'string',
help = 'label of crystal orientation given as unit quaternion [%default]')
parser.set_defaults(force = (0.0,0.0,1.0),
quaternion='orientation',
normal = None,
lattice = lattice_choices[0],
CoverA = np.sqrt(8./3.),
)
(options, filenames) = parser.parse_args()
if filenames == []: filenames = [None]
force = np.array(options.force)/np.linalg.norm(options.force)
if options.normal is not None:
normal = np.array(options.normal)/np.linalg.norm(options.ormal)
if abs(np.dot(force,normal)) > 1e-3:
parser.error('stress plane normal not orthogonal to force direction')
else:
normal = force
if options.lattice in ['bcc','fcc']:
slip_direction = slipSystems[options.lattice][:,:3]
slip_normal = slipSystems[options.lattice][:,3:]
elif options.lattice == 'hex':
slip_direction = np.zeros((len(slipSystems['hex']),3),'d')
slip_normal = np.zeros_like(slip_direction)
# convert 4 Miller index notation of hex to orthogonal 3 Miller index notation
for i in range(len(slip_direction)):
slip_direction[i] = np.array([slipSystems['hex'][i,0]*1.5,
(slipSystems['hex'][i,0] + 2.*slipSystems['hex'][i,1])*0.5*np.sqrt(3),
slipSystems['hex'][i,3]*options.CoverA,
])
slip_normal[i] = np.array([slipSystems['hex'][i,4],
(slipSystems['hex'][i,4] + 2.*slipSystems['hex'][i,5])/np.sqrt(3),
slipSystems['hex'][i,7]/options.CoverA,
])
slip_direction /= np.linalg.norm(slip_direction,axis=1,keepdims=True)
slip_normal /= np.linalg.norm(slip_normal, axis=1,keepdims=True)
labels = ['S[{direction[0]:.1g}_{direction[1]:.1g}_{direction[2]:.1g}]'
'({normal[0]:.1g}_{normal[1]:.1g}_{normal[2]:.1g})'\
.format(normal = theNormal, direction = theDirection,
) for theNormal,theDirection in zip(slip_normal,slip_direction)]
for name in filenames:
damask.util.report(scriptName,name)
table = damask.Table.load(StringIO(''.join(sys.stdin.read())) if name is None else name)
o = damask.Rotation.from_quaternion(table.get(options.quaternion))
force = np.broadcast_to(force, o.shape+(3,))
normal = np.broadcast_to(normal,o.shape+(3,))
slip_direction = np.broadcast_to(slip_direction,o.shape+slip_direction.shape)
slip_normal = np.broadcast_to(slip_normal, o.shape+slip_normal.shape)
S = np.abs(np.einsum('ijk,ik->ij',slip_direction,(o@force))*
np.einsum('ijk,ik->ij',slip_normal, (o@normal)))
for i,label in enumerate(labels):
table = table.add(label,S[:,i],scriptID+' '+' '.join(sys.argv[1:]))
table.save((sys.stdout if name is None else name))

2
python/damask/VERSION
View File

@ -1 +1 @@
v3.0.0-alpha4-221-g4a8c83611
v3.0.0-alpha5-31-gddb25ad0e

5
python/damask/__init__.py
View File

@ -14,10 +14,10 @@ from . import tensor # noqa
from . import mechanics # noqa
from . import solver # noqa
from . import grid_filters # noqa
from . import lattice # noqa
#Modules that contain only one class (of the same name), are prefixed by a '_'.
#For example, '_colormap' containsa class called 'Colormap' which is imported as 'damask.Colormap'.
from ._rotation import Rotation # noqa
from ._crystal import Crystal # noqa
from ._orientation import Orientation # noqa
from ._table import Table # noqa
from ._vtk import VTK # noqa
@ -26,6 +26,3 @@ from ._config import Config # noqa
from ._configmaterial import ConfigMaterial # noqa
from ._grid import Grid # noqa
from ._result import Result # noqa
# deprecated
from ._test import Test # noqa

104
python/damask/_colormap.py
View File

@ -1,6 +1,7 @@
import os
import json
import functools
import colorsys
import numpy as np
import matplotlib as mpl
@ -439,109 +440,26 @@ class Colormap(mpl.colors.ListedColormap):
@staticmethod
def _hsv2rgb(hsv):
"""
H(ue) S(aturation) V(alue) to R(red) G(reen) B(lue).
References
----------
https://www.rapidtables.com/convert/color/hsv-to-rgb.html
"""
sextant = np.clip(int(hsv[0]/60.),0,5)
c = hsv[1]*hsv[2]
x = c*(1.0 - abs((hsv[0]/60.)%2 - 1.))
return np.array([
[c, x, 0],
[x, c, 0],
[0, c, x],
[0, x, c],
[x, 0, c],
[c, 0, x],
])[sextant] + hsv[2] - c
"""H(ue) S(aturation) V(alue) to R(red) G(reen) B(lue)."""
return np.array(colorsys.hsv_to_rgb(hsv[0]/360.,hsv[1],hsv[2]))
@staticmethod
def _rgb2hsv(rgb):
"""
R(ed) G(reen) B(lue) to H(ue) S(aturation) V(alue).
References
----------
https://www.rapidtables.com/convert/color/rgb-to-hsv.html
"""
C_max = rgb.max()
C_min = rgb.min()
Delta = C_max - C_min
v = C_max
s = 0. if np.isclose(C_max,0.) else Delta/C_max
if np.isclose(Delta,0.):
h = 0.
elif rgb.argmax() == 0:
h = (rgb[1]-rgb[2])/Delta%6
elif rgb.argmax() == 1:
h = (rgb[2]-rgb[0])/Delta + 2.
elif rgb.argmax() == 2:
h = (rgb[0]-rgb[1])/Delta + 4.
h = np.clip(h,0.,6.) * 60.
return np.array([h,s,v])
"""R(ed) G(reen) B(lue) to H(ue) S(aturation) V(alue)."""
h,s,v = colorsys.rgb_to_hsv(rgb[0],rgb[1],rgb[2])
return np.array([h*360,s,v])
@staticmethod
def _hsl2rgb(hsl):
"""
H(ue) S(aturation) L(uminance) to R(red) G(reen) B(lue).
References
----------
https://www.rapidtables.com/convert/color/hsl-to-rgb.html
"""
sextant = np.clip(int(hsl[0]/60.),0,5)
c = (1.0 - abs(2.0 * hsl[2] - 1.))*hsl[1]
x = c*(1.0 - abs((hsl[0]/60.)%2 - 1.))
m = hsl[2] - 0.5*c
return np.array([
[c+m, x+m, m],
[x+m, c+m, m],
[m, c+m, x+m],
[m, x+m, c+m],
[x+m, m, c+m],
[c+m, m, x+m],
])[sextant]
"""H(ue) S(aturation) L(uminance) to R(red) G(reen) B(lue)."""
return np.array(colorsys.hls_to_rgb(hsl[0]/360.,hsl[2],hsl[1]))
@staticmethod
def _rgb2hsl(rgb):
"""
R(ed) G(reen) B(lue) to H(ue) S(aturation) L(uminance).
References
----------
https://www.rapidtables.com/convert/color/rgb-to-hsl.html
"""
C_max = rgb.max()
C_min = rgb.min()
Delta = C_max - C_min
l = np.clip((C_max + C_min)*.5,0.,1.) # noqa
s = 0. if np.isclose(C_max,C_min) else Delta/(1.-np.abs(2*l-1.))
if np.isclose(Delta,0.):
h = 0.
elif rgb.argmax() == 0:
h = (rgb[1]-rgb[2])/Delta%6
elif rgb.argmax() == 1:
h = (rgb[2]-rgb[0])/Delta + 2.
elif rgb.argmax() == 2:
h = (rgb[0]-rgb[1])/Delta + 4.
h = np.clip(h,0.,6.) * 60.
return np.array([h,s,l])
"""R(ed) G(reen) B(lue) to H(ue) S(aturation) L(uminance)."""
h,l,s = colorsys.rgb_to_hls(rgb[0],rgb[1],rgb[2])
return np.array([h*360,s,l])
@staticmethod

6
python/damask/_config.py
View File

@ -146,12 +146,6 @@ class Config(dict):
if 'sort_keys' not in kwargs:
kwargs['sort_keys'] = False
def array_representer(dumper, data):
"""Convert numpy array to list of native types."""
return dumper.represent_list([d.item() for d in data])
NiceDumper.add_representer(np.ndarray, array_representer)
try:
fhandle.write(yaml.dump(self,Dumper=NiceDumper,**kwargs))
except TypeError: # compatibility with old pyyaml

876
python/damask/_crystal.py Normal file
View File

@ -0,0 +1,876 @@
import numpy as np
from . import util
from . import Rotation
lattice_symmetries = {
'aP': 'triclinic',
'mP': 'monoclinic',
'mS': 'monoclinic',
'oP': 'orthorhombic',
'oS': 'orthorhombic',
'oI': 'orthorhombic',
'oF': 'orthorhombic',
'tP': 'tetragonal',
'tI': 'tetragonal',
'hP': 'hexagonal',
'cP': 'cubic',
'cI': 'cubic',
'cF': 'cubic',
}
class Crystal():
"""Crystal lattice."""
def __init__(self,*,
family = None,
lattice = None,
a = None,b = None,c = None,
alpha = None,beta = None,gamma = None,
degrees = False):
"""
Representation of crystal in terms of crystal family or Bravais lattice.
Parameters
----------
family : {'triclinic', 'monoclinic', 'orthorhombic', 'tetragonal', 'hexagonal', 'cubic'}, optional.
Name of the crystal family.
Will be inferred if 'lattice' is given.
lattice : {'aP', 'mP', 'mS', 'oP', 'oS', 'oI', 'oF', 'tP', 'tI', 'hP', 'cP', 'cI', 'cF'}, optional.
Name of the Bravais lattice in Pearson notation.
a : float, optional
Length of lattice parameter 'a'.
b : float, optional
Length of lattice parameter 'b'.
c : float, optional
Length of lattice parameter 'c'.
alpha : float, optional
Angle between b and c lattice basis.
beta : float, optional
Angle between c and a lattice basis.
gamma : float, optional
Angle between a and b lattice basis.
degrees : bool, optional
Angles are given in degrees. Defaults to False.
"""
if family not in [None] + list(lattice_symmetries.values()):
raise KeyError(f'invalid crystal family "{family}"')
if lattice is not None and family is not None and family != lattice_symmetries[lattice]:
raise KeyError(f'incompatible family "{family}" for lattice "{lattice}"')
self.family = lattice_symmetries[lattice] if family is None else family
self.lattice = lattice
if self.lattice is not None:
self.a = 1 if a is None else a
self.b = b
self.c = c
self.a = float(self.a) if self.a is not None else \
(self.b / self.ratio['b'] if self.b is not None and self.ratio['b'] is not None else
self.c / self.ratio['c'] if self.c is not None and self.ratio['c'] is not None else None)
self.b = float(self.b) if self.b is not None else \
(self.a * self.ratio['b'] if self.a is not None and self.ratio['b'] is not None else
self.c / self.ratio['c'] * self.ratio['b']
if self.c is not None and self.ratio['b'] is not None and self.ratio['c'] is not None else None)
self.c = float(self.c) if self.c is not None else \
(self.a * self.ratio['c'] if self.a is not None and self.ratio['c'] is not None else
self.b / self.ratio['b'] * self.ratio['c']
if self.c is not None and self.ratio['b'] is not None and self.ratio['c'] is not None else None)
self.alpha = np.radians(alpha) if degrees and alpha is not None else alpha
self.beta = np.radians(beta) if degrees and beta is not None else beta
self.gamma = np.radians(gamma) if degrees and gamma is not None else gamma
if self.alpha is None and 'alpha' in self.immutable: self.alpha = self.immutable['alpha']
if self.beta is None and 'beta' in self.immutable: self.beta = self.immutable['beta']
if self.gamma is None and 'gamma' in self.immutable: self.gamma = self.immutable['gamma']
if \
(self.a is None) \
or (self.b is None or ('b' in self.immutable and self.b != self.immutable['b'] * self.a)) \
or (self.c is None or ('c' in self.immutable and self.c != self.immutable['c'] * self.b)) \
or (self.alpha is None or ('alpha' in self.immutable and self.alpha != self.immutable['alpha'])) \
or (self.beta is None or ('beta' in self.immutable and self.beta != self.immutable['beta'])) \
or (self.gamma is None or ('gamma' in self.immutable and self.gamma != self.immutable['gamma'])):
raise ValueError (f'incompatible parameters {self.parameters} for crystal family {self.family}')
if np.any(np.array([self.alpha,self.beta,self.gamma]) <= 0):
raise ValueError ('lattice angles must be positive')
if np.any([np.roll([self.alpha,self.beta,self.gamma],r)[0]
>= np.sum(np.roll([self.alpha,self.beta,self.gamma],r)[1:]) for r in range(3)]):
raise ValueError ('each lattice angle must be less than sum of others')
else:
self.a = self.b = self.c = None
self.alpha = self.beta = self.gamma = None
def __repr__(self):
"""Represent."""
return '\n'.join([f'Crystal family {self.family}']
+ ([] if self.lattice is None else [f'Bravais lattice {self.lattice}']+
list(map(lambda x:f'{x[0]}: {x[1]:.5g}',
zip(['a','b','c','α','β','γ',],
self.parameters))))
)
def __eq__(self,other):
"""
Equal to other.
Parameters
----------
other : Crystal
Crystal to check for equality.
"""
return self.lattice == other.lattice and \
self.parameters == other.parameters and \
self.family == other.family
@property
def parameters(self):
"""Return lattice parameters a, b, c, alpha, beta, gamma."""
return (self.a,self.b,self.c,self.alpha,self.beta,self.gamma)
@property
def immutable(self):
"""Return immutable lattice parameters."""
_immutable = {
'cubic': {
'b': 1.0,
'c': 1.0,
'alpha': np.pi/2.,
'beta': np.pi/2.,
'gamma': np.pi/2.,
},
'hexagonal': {
'b': 1.0,
'alpha': np.pi/2.,
'beta': np.pi/2.,
'gamma': 2.*np.pi/3.,
},
'tetragonal': {
'b': 1.0,
'alpha': np.pi/2.,
'beta': np.pi/2.,
'gamma': np.pi/2.,
},
'orthorhombic': {
'alpha': np.pi/2.,
'beta': np.pi/2.,
'gamma': np.pi/2.,
},
'monoclinic': {
'alpha': np.pi/2.,
'gamma': np.pi/2.,
},
'triclinic': {}
}
return _immutable[self.family]
@property
def standard_triangle(self):
"""
Corners of the standard triangle.
Notes
-----
Not yet defined for monoclinic.
References
----------
Bases are computed from
>>> basis = {
... 'cubic' : np.linalg.inv(np.array([[0.,0.,1.], # direction of red
... [1.,0.,1.]/np.sqrt(2.), # green
... [1.,1.,1.]/np.sqrt(3.)]).T), # blue
... 'hexagonal' : np.linalg.inv(np.array([[0.,0.,1.], # direction of red
... [1.,0.,0.], # green
... [np.sqrt(3.),1.,0.]/np.sqrt(4.)]).T), # blue
... 'tetragonal' : np.linalg.inv(np.array([[0.,0.,1.], # direction of red
... [1.,0.,0.], # green
... [1.,1.,0.]/np.sqrt(2.)]).T), # blue
... 'orthorhombic': np.linalg.inv(np.array([[0.,0.,1.], # direction of red
... [1.,0.,0.], # green
... [0.,1.,0.]]).T), # blue
... }
"""
_basis = {
'cubic': {'improper':np.array([ [-1. , 0. , 1. ],
[ np.sqrt(2.) , -np.sqrt(2.) , 0. ],
[ 0. , np.sqrt(3.) , 0. ] ]),
'proper':np.array([ [ 0. , -1. , 1. ],
[-np.sqrt(2.) , np.sqrt(2.) , 0. ],
[ np.sqrt(3.) , 0. , 0. ] ]),
},
'hexagonal':
{'improper':np.array([ [ 0. , 0. , 1. ],
[ 1. , -np.sqrt(3.) , 0. ],
[ 0. , 2. , 0. ] ]),
'proper':np.array([ [ 0. , 0. , 1. ],
[-1. , np.sqrt(3.) , 0. ],
[ np.sqrt(3.) , -1. , 0. ] ]),
},
'tetragonal':
{'improper':np.array([ [ 0. , 0. , 1. ],
[ 1. , -1. , 0. ],
[ 0. , np.sqrt(2.) , 0. ] ]),
'proper':np.array([ [ 0. , 0. , 1. ],
[-1. , 1. , 0. ],
[ np.sqrt(2.) , 0. , 0. ] ]),
},
'orthorhombic':
{'improper':np.array([ [ 0., 0., 1.],
[ 1., 0., 0.],
[ 0., 1., 0.] ]),
'proper':np.array([ [ 0., 0., 1.],
[-1., 0., 0.],
[ 0., 1., 0.] ]),
}}
return _basis.get(self.family,None)
@property
def ratio(self):
"""Return axes ratios of own lattice."""
_ratio = { 'hexagonal': {'c': np.sqrt(8./3.)}}
return dict(b = self.immutable['b']
if 'b' in self.immutable else
_ratio[self.family]['b'] if self.family in _ratio and 'b' in _ratio[self.family] else None,
c = self.immutable['c']
if 'c' in self.immutable else
_ratio[self.family]['c'] if self.family in _ratio and 'c' in _ratio[self.family] else None,
)
@property
def basis_real(self):
"""
Return orthogonal real space crystal basis.
References
----------
C.T. Young and J.L. Lytton, Journal of Applied Physics 43:1408–1417, 1972
https://doi.org/10.1063/1.1661333
"""
if None in self.parameters:
raise KeyError('missing crystal lattice parameters')
return np.array([
[1,0,0],
[np.cos(self.gamma),np.sin(self.gamma),0],
[np.cos(self.beta),
(np.cos(self.alpha)-np.cos(self.beta)*np.cos(self.gamma)) /np.sin(self.gamma),
np.sqrt(1 - np.cos(self.alpha)**2 - np.cos(self.beta)**2 - np.cos(self.gamma)**2
+ 2 * np.cos(self.alpha) * np.cos(self.beta) * np.cos(self.gamma))/np.sin(self.gamma)],
],dtype=float).T \
* np.array([self.a,self.b,self.c])
@property
def basis_reciprocal(self):
"""Return reciprocal (dual) crystal basis."""
return np.linalg.inv(self.basis_real.T)
@property
def lattice_points(self):
"""Return lattice points."""
_lattice_points = {
'P': [
],
'S': [
[0.5,0.5,0],
],
'I': [
[0.5,0.5,0.5],
],
'F': [
[0.0,0.5,0.5],
[0.5,0.0,0.5],
[0.5,0.5,0.0],
],
'hP': [
[2./3.,1./3.,0.5],
],
}
if self.lattice is None: raise KeyError('no lattice type specified')
return np.array([[0,0,0]]
+ _lattice_points.get(self.lattice if self.lattice == 'hP' else \
self.lattice[-1],None),dtype=float)
def to_lattice(self,*,direction=None,plane=None):
"""
Calculate lattice vector corresponding to crystal frame direction or plane normal.
Parameters
----------
direction|plane : numpy.ndarray of shape (...,3)
Vector along direction or plane normal.
Returns
-------
Miller : numpy.ndarray of shape (...,3)
Lattice vector of direction or plane.
Use util.scale_to_coprime to convert to (integer) Miller indices.
"""
if (direction is not None) ^ (plane is None):
raise KeyError('specify either "direction" or "plane"')
axis,basis = (np.array(direction),self.basis_reciprocal.T) \
if plane is None else \
(np.array(plane),self.basis_real.T)
return np.einsum('il,...l',basis,axis)
def to_frame(self,*,uvw=None,hkl=None):
"""
Calculate crystal frame vector along lattice direction [uvw] or plane normal (hkl).
Parameters
----------
uvw|hkl : numpy.ndarray of shape (...,3)
Miller indices of crystallographic direction or plane normal.
Returns
-------
vector : numpy.ndarray of shape (...,3)
Crystal frame vector along [uvw] direction or (hkl) plane normal.
"""
if (uvw is not None) ^ (hkl is None):
raise KeyError('specify either "uvw" or "hkl"')
axis,basis = (np.array(uvw),self.basis_real) \
if hkl is None else \
(np.array(hkl),self.basis_reciprocal)
return np.einsum('il,...l',basis,axis)
def kinematics(self,mode):
"""
Return crystal kinematics systems.
Parameters
----------
mode : {'slip','twin'}
Deformation mode.
Returns
-------
direction_plane : dictionary
Directions and planes of deformation mode families.
"""
_kinematics = {
'cF': {
'slip' :[np.array([
[+0,+1,-1, +1,+1,+1],
[-1,+0,+1, +1,+1,+1],
[+1,-1,+0, +1,+1,+1],
[+0,-1,-1, -1,-1,+1],
[+1,+0,+1, -1,-1,+1],
[-1,+1,+0, -1,-1,+1],
[+0,-1,+1, +1,-1,-1],
[-1,+0,-1, +1,-1,-1],
[+1,+1,+0, +1,-1,-1],
[+0,+1,+1, -1,+1,-1],
[+1,+0,-1, -1,+1,-1],
[-1,-1,+0, -1,+1,-1]]),
np.array([
[+1,+1,+0, +1,-1,+0],
[+1,-1,+0, +1,+1,+0],
[+1,+0,+1, +1,+0,-1],
[+1,+0,-1, +1,+0,+1],
[+0,+1,+1, +0,+1,-1],
[+0,+1,-1, +0,+1,+1]])],
'twin' :[np.array([
[-2, 1, 1, 1, 1, 1],
[ 1,-2, 1, 1, 1, 1],
[ 1, 1,-2, 1, 1, 1],
[ 2,-1, 1, -1,-1, 1],
[-1, 2, 1, -1,-1, 1],
[-1,-1,-2, -1,-1, 1],
[-2,-1,-1, 1,-1,-1],
[ 1, 2,-1, 1,-1,-1],
[ 1,-1, 2, 1,-1,-1],
[ 2, 1,-1, -1, 1,-1],
[-1,-2,-1, -1, 1,-1],
[-1, 1, 2, -1, 1,-1]])]
},
'cI': {
'slip' :[np.array([
[+1,-1,+1, +0,+1,+1],
[-1,-1,+1, +0,+1,+1],
[+1,+1,+1, +0,-1,+1],
[-1,+1,+1, +0,-1,+1],
[-1,+1,+1, +1,+0,+1],
[-1,-1,+1, +1,+0,+1],
[+1,+1,+1, -1,+0,+1],
[+1,-1,+1, -1,+0,+1],
[-1,+1,+1, +1,+1,+0],
[-1,+1,-1, +1,+1,+0],
[+1,+1,+1, -1,+1,+0],
[+1,+1,-1, -1,+1,+0]]),
np.array([
[-1,+1,+1, +2,+1,+1],
[+1,+1,+1, -2,+1,+1],
[+1,+1,-1, +2,-1,+1],
[+1,-1,+1, +2,+1,-1],
[+1,-1,+1, +1,+2,+1],
[+1,+1,-1, -1,+2,+1],
[+1,+1,+1, +1,-2,+1],
[-1,+1,+1, +1,+2,-1],
[+1,+1,-1, +1,+1,+2],
[+1,-1,+1, -1,+1,+2],
[-1,+1,+1, +1,-1,+2],
[+1,+1,+1, +1,+1,-2]]),
np.array([
[+1,+1,-1, +1,+2,+3],
[+1,-1,+1, -1,+2,+3],
[-1,+1,+1, +1,-2,+3],
[+1,+1,+1, +1,+2,-3],
[+1,-1,+1, +1,+3,+2],
[+1,+1,-1, -1,+3,+2],
[+1,+1,+1, +1,-3,+2],
[-1,+1,+1, +1,+3,-2],
[+1,+1,-1, +2,+1,+3],
[+1,-1,+1, -2,+1,+3],
[-1,+1,+1, +2,-1,+3],
[+1,+1,+1, +2,+1,-3],
[+1,-1,+1, +2,+3,+1],
[+1,+1,-1, -2,+3,+1],
[+1,+1,+1, +2,-3,+1],
[-1,+1,+1, +2,+3,-1],
[-1,+1,+1, +3,+1,+2],
[+1,+1,+1, -3,+1,+2],
[+1,+1,-1, +3,-1,+2],
[+1,-1,+1, +3,+1,-2],
[-1,+1,+1, +3,+2,+1],
[+1,+1,+1, -3,+2,+1],
[+1,+1,-1, +3,-2,+1],
[+1,-1,+1, +3,+2,-1]])],
'twin' :[np.array([
[-1, 1, 1, 2, 1, 1],
[ 1, 1, 1, -2, 1, 1],
[ 1, 1,-1, 2,-1, 1],
[ 1,-1, 1, 2, 1,-1],
[ 1,-1, 1, 1, 2, 1],
[ 1, 1,-1, -1, 2, 1],
[ 1, 1, 1, 1,-2, 1],
[-1, 1, 1, 1, 2,-1],
[ 1, 1,-1, 1, 1, 2],
[ 1,-1, 1, -1, 1, 2],
[-1, 1, 1, 1,-1, 2],
[ 1, 1, 1, 1, 1,-2]])]
},
'hP': {
'slip' :[np.array([
[+2,-1,-1,+0, +0,+0,+0,+1],
[-1,+2,-1,+0, +0,+0,+0,+1],
[-1,-1,+2,+0, +0,+0,+0,+1]]),
np.array([
[+2,-1,-1,+0, +0,+1,-1,+0],
[-1,+2,-1,+0, -1,+0,+1,+0],
[-1,-1,+2,+0, +1,-1,+0,+0]]),
np.array([
[-1,+1,+0,+0, +1,+1,-2,+0],
[+0,-1,+1,+0, -2,+1,+1,+0],
[+1,+0,-1,+0, +1,-2,+1,+0]]),
np.array([
[-1,+2,-1,+0, +1,+0,-1,+1],
[-2,+1,+1,+0, +0,+1,-1,+1],
[-1,-1,+2,+0, -1,+1,+0,+1],
[+1,-2,+1,+0, -1,+0,+1,+1],
[+2,-1,-1,+0, +0,-1,+1,+1],
[+1,+1,-2,+0, +1,-1,+0,+1]]),
np.array([
[-2,+1,+1,+3, +1,+0,-1,+1],
[-1,-1,+2,+3, +1,+0,-1,+1],
[-1,-1,+2,+3, +0,+1,-1,+1],
[+1,-2,+1,+3, +0,+1,-1,+1],
[+1,-2,+1,+3, -1,+1,+0,+1],
[+2,-1,-1,+3, -1,+1,+0,+1],
[+2,-1,-1,+3, -1,+0,+1,+1],
[+1,+1,-2,+3, -1,+0,+1,+1],
[+1,+1,-2,+3, +0,-1,+1,+1],
[-1,+2,-1,+3, +0,-1,+1,+1],
[-1,+2,-1,+3, +1,-1,+0,+1],
[-2,+1,+1,+3, +1,-1,+0,+1]]),
np.array([
[-1,-1,+2,+3, +1,+1,-2,+2],
[+1,-2,+1,+3, -1,+2,-1,+2],
[+2,-1,-1,+3, -2,+1,+1,+2],
[+1,+1,-2,+3, -1,-1,+2,+2],
[-1,+2,-1,+3, +1,-2,+1,+2],
[-2,+1,+1,+3, +2,-1,-1,+2]])],
'twin' :[np.array([
[-1, 0, 1, 1, 1, 0,-1, 2], # shear = (3-(c/a)^2)/(sqrt(3) c/a) <-10.1>{10.2}
[ 0,-1, 1, 1, 0, 1,-1, 2],
[ 1,-1, 0, 1, -1, 1, 0, 2],
[ 1, 0,-1, 1, -1, 0, 1, 2],
[ 0, 1,-1, 1, 0,-1, 1, 2],
[-1, 1, 0, 1, 1,-1, 0, 2]]),
np.array([
[-1,-1, 2, 6, 1, 1,-2, 1], # shear = 1/(c/a) <11.6>{-1-1.1}
[ 1,-2, 1, 6, -1, 2,-1, 1],
[ 2,-1,-1, 6, -2, 1, 1, 1],
[ 1, 1,-2, 6, -1,-1, 2, 1],
[-1, 2,-1, 6, 1,-2, 1, 1],
[-2, 1, 1, 6, 2,-1,-1, 1]]),
np.array([
[ 1, 0,-1,-2, 1, 0,-1, 1], # shear = (4(c/a)^2-9)/(4 sqrt(3) c/a) <10.-2>{10.1}
[ 0, 1,-1,-2, 0, 1,-1, 1],
[-1, 1, 0,-2, -1, 1, 0, 1],
[-1, 0, 1,-2, -1, 0, 1, 1],
[ 0,-1, 1,-2, 0,-1, 1, 1],
[ 1,-1, 0,-2, 1,-1, 0, 1]]),
np.array([
[ 1, 1,-2,-3, 1, 1,-2, 2], # shear = 2((c/a)^2-2)/(3 c/a) <11.-3>{11.2}
[-1, 2,-1,-3, -1, 2,-1, 2],
[-2, 1, 1,-3, -2, 1, 1, 2],
[-1,-1, 2,-3, -1,-1, 2, 2],
[ 1,-2, 1,-3, 1,-2, 1, 2],
[ 2,-1,-1,-3, 2,-1,-1, 2]])]
},
}
master = _kinematics[self.lattice][mode]
if self.lattice == 'hP':
return {'direction':[util.Bravais_to_Miller(uvtw=m[:,0:4]) for m in master],
'plane': [util.Bravais_to_Miller(hkil=m[:,4:8]) for m in master]}
else:
return {'direction':[m[:,0:3] for m in master],
'plane': [m[:,3:6] for m in master]}
def relation_operations(self,model):
"""
Crystallographic orientation relationships for phase transformations.
Parameters
----------
model : str
Name of orientation relationship.
Returns
-------
operations : (string, damask.Rotation)
Resulting lattice and rotations characterizing the orientation relationship.
References
----------
S. Morito et al., Journal of Alloys and Compounds 577:s587-s592, 2013
https://doi.org/10.1016/j.jallcom.2012.02.004
K. Kitahara et al., Acta Materialia 54(5):1279-1288, 2006
https://doi.org/10.1016/j.actamat.2005.11.001
Y. He et al., Journal of Applied Crystallography 39:72-81, 2006
https://doi.org/10.1107/S0021889805038276
H. Kitahara et al., Materials Characterization 54(4-5):378-386, 2005
https://doi.org/10.1016/j.matchar.2004.12.015
Y. He et al., Acta Materialia 53(4):1179-1190, 2005
https://doi.org/10.1016/j.actamat.2004.11.021
"""
_orientation_relationships = {
'KS': {
'cF' : np.array([
[[-1, 0, 1],[ 1, 1, 1]],
[[-1, 0, 1],[ 1, 1, 1]],
[[ 0, 1,-1],[ 1, 1, 1]],
[[ 0, 1,-1],[ 1, 1, 1]],
[[ 1,-1, 0],[ 1, 1, 1]],
[[ 1,-1, 0],[ 1, 1, 1]],
[[ 1, 0,-1],[ 1,-1, 1]],
[[ 1, 0,-1],[ 1,-1, 1]],
[[-1,-1, 0],[ 1,-1, 1]],
[[-1,-1, 0],[ 1,-1, 1]],
[[ 0, 1, 1],[ 1,-1, 1]],
[[ 0, 1, 1],[ 1,-1, 1]],
[[ 0,-1, 1],[-1, 1, 1]],
[[ 0,-1, 1],[-1, 1, 1]],
[[-1, 0,-1],[-1, 1, 1]],
[[-1, 0,-1],[-1, 1, 1]],
[[ 1, 1, 0],[-1, 1, 1]],
[[ 1, 1, 0],[-1, 1, 1]],
[[-1, 1, 0],[ 1, 1,-1]],
[[-1, 1, 0],[ 1, 1,-1]],
[[ 0,-1,-1],[ 1, 1,-1]],
[[ 0,-1,-1],[ 1, 1,-1]],
[[ 1, 0, 1],[ 1, 1,-1]],
[[ 1, 0, 1],[ 1, 1,-1]],
],dtype=float),
'cI' : np.array([
[[-1,-1, 1],[ 0, 1, 1]],
[[-1, 1,-1],[ 0, 1, 1]],
[[-1,-1, 1],[ 0, 1, 1]],
[[-1, 1,-1],[ 0, 1, 1]],
[[-1,-1, 1],[ 0, 1, 1]],
[[-1, 1,-1],[ 0, 1, 1]],
[[-1,-1, 1],[ 0, 1, 1]],
[[-1, 1,-1],[ 0, 1, 1]],
[[-1,-1, 1],[ 0, 1, 1]],
[[-1, 1,-1],[ 0, 1, 1]],
[[-1,-1, 1],[ 0, 1, 1]],
[[-1, 1,-1],[ 0, 1, 1]],
[[-1,-1, 1],[ 0, 1, 1]],
[[-1, 1,-1],[ 0, 1, 1]],
[[-1,-1, 1],[ 0, 1, 1]],
[[-1, 1,-1],[ 0, 1, 1]],
[[-1,-1, 1],[ 0, 1, 1]],
[[-1, 1,-1],[ 0, 1, 1]],
[[-1,-1, 1],[ 0, 1, 1]],
[[-1, 1,-1],[ 0, 1, 1]],
[[-1,-1, 1],[ 0, 1, 1]],
[[-1, 1,-1],[ 0, 1, 1]],
[[-1,-1, 1],[ 0, 1, 1]],
[[-1, 1,-1],[ 0, 1, 1]],
],dtype=float),
},
'GT': {
'cF' : np.array([
[[ -5,-12, 17],[ 1, 1, 1]],
[[ 17, -5,-12],[ 1, 1, 1]],
[[-12, 17, -5],[ 1, 1, 1]],
[[ 5, 12, 17],[ -1, -1, 1]],
[[-17, 5,-12],[ -1, -1, 1]],
[[ 12,-17, -5],[ -1, -1, 1]],
[[ -5, 12,-17],[ -1, 1, 1]],
[[ 17, 5, 12],[ -1, 1, 1]],
[[-12,-17, 5],[ -1, 1, 1]],
[[ 5,-12,-17],[ 1, -1, 1]],
[[-17, -5, 12],[ 1, -1, 1]],
[[ 12, 17, 5],[ 1, -1, 1]],
[[ -5, 17,-12],[ 1, 1, 1]],
[[-12, -5, 17],[ 1, 1, 1]],
[[ 17,-12, -5],[ 1, 1, 1]],
[[ 5,-17,-12],[ -1, -1, 1]],
[[ 12, 5, 17],[ -1, -1, 1]],
[[-17, 12, -5],[ -1, -1, 1]],
[[ -5,-17, 12],[ -1, 1, 1]],
[[-12, 5,-17],[ -1, 1, 1]],
[[ 17, 12, 5],[ -1, 1, 1]],
[[ 5, 17, 12],[ 1, -1, 1]],
[[ 12, -5,-17],[ 1, -1, 1]],
[[-17,-12, 5],[ 1, -1, 1]],
],dtype=float),
'cI' : np.array([
[[-17, -7, 17],[ 1, 0, 1]],
[[ 17,-17, -7],[ 1, 1, 0]],
[[ -7, 17,-17],[ 0, 1, 1]],
[[ 17, 7, 17],[ -1, 0, 1]],
[[-17, 17, -7],[ -1, -1, 0]],
[[ 7,-17,-17],[ 0, -1, 1]],
[[-17, 7,-17],[ -1, 0, 1]],
[[ 17, 17, 7],[ -1, 1, 0]],
[[ -7,-17, 17],[ 0, 1, 1]],
[[ 17, -7,-17],[ 1, 0, 1]],
[[-17,-17, 7],[ 1, -1, 0]],
[[ 7, 17, 17],[ 0, -1, 1]],
[[-17, 17, -7],[ 1, 1, 0]],
[[ -7,-17, 17],[ 0, 1, 1]],
[[ 17, -7,-17],[ 1, 0, 1]],
[[ 17,-17, -7],[ -1, -1, 0]],
[[ 7, 17, 17],[ 0, -1, 1]],
[[-17, 7,-17],[ -1, 0, 1]],
[[-17,-17, 7],[ -1, 1, 0]],
[[ -7, 17,-17],[ 0, 1, 1]],
[[ 17, 7, 17],[ -1, 0, 1]],
[[ 17, 17, 7],[ 1, -1, 0]],
[[ 7,-17,-17],[ 0, -1, 1]],
[[-17, -7, 17],[ 1, 0, 1]],
],dtype=float),
},
'GT_prime': {
'cF' : np.array([
[[ 0, 1, -1],[ 7, 17, 17]],
[[ -1, 0, 1],[ 17, 7, 17]],
[[ 1, -1, 0],[ 17, 17, 7]],
[[ 0, -1, -1],[ -7,-17, 17]],
[[ 1, 0, 1],[-17, -7, 17]],
[[ 1, -1, 0],[-17,-17, 7]],
[[ 0, 1, -1],[ 7,-17,-17]],
[[ 1, 0, 1],[ 17, -7,-17]],
[[ -1, -1, 0],[ 17,-17, -7]],
[[ 0, -1, -1],[ -7, 17,-17]],
[[ -1, 0, 1],[-17, 7,-17]],
[[ -1, -1, 0],[-17, 17, -7]],
[[ 0, -1, 1],[ 7, 17, 17]],
[[ 1, 0, -1],[ 17, 7, 17]],
[[ -1, 1, 0],[ 17, 17, 7]],
[[ 0, 1, 1],[ -7,-17, 17]],
[[ -1, 0, -1],[-17, -7, 17]],
[[ -1, 1, 0],[-17,-17, 7]],
[[ 0, -1, 1],[ 7,-17,-17]],
[[ -1, 0, -1],[ 17, -7,-17]],
[[ 1, 1, 0],[ 17,-17, -7]],
[[ 0, 1, 1],[ -7, 17,-17]],
[[ 1, 0, -1],[-17, 7,-17]],
[[ 1, 1, 0],[-17, 17, -7]],
],dtype=float),
'cI' : np.array([
[[ 1, 1, -1],[ 12, 5, 17]],
[[ -1, 1, 1],[ 17, 12, 5]],
[[ 1, -1, 1],[ 5, 17, 12]],
[[ -1, -1, -1],[-12, -5, 17]],
[[ 1, -1, 1],[-17,-12, 5]],
[[ 1, -1, -1],[ -5,-17, 12]],
[[ -1, 1, -1],[ 12, -5,-17]],
[[ 1, 1, 1],[ 17,-12, -5]],
[[ -1, -1, 1],[ 5,-17,-12]],
[[ 1, -1, -1],[-12, 5,-17]],
[[ -1, -1, 1],[-17, 12, -5]],
[[ -1, -1, -1],[ -5, 17,-12]],
[[ 1, -1, 1],[ 12, 17, 5]],
[[ 1, 1, -1],[ 5, 12, 17]],
[[ -1, 1, 1],[ 17, 5, 12]],
[[ -1, 1, 1],[-12,-17, 5]],
[[ -1, -1, -1],[ -5,-12, 17]],
[[ -1, 1, -1],[-17, -5, 12]],
[[ -1, -1, 1],[ 12,-17, -5]],
[[ -1, 1, -1],[ 5,-12,-17]],
[[ 1, 1, 1],[ 17, -5,-12]],
[[ 1, 1, 1],[-12, 17, -5]],
[[ 1, -1, -1],[ -5, 12,-17]],
[[ 1, 1, -1],[-17, 5,-12]],
],dtype=float),
},
'NW': {
'cF' : np.array([
[[ 2, -1, -1],[ 1, 1, 1]],
[[ -1, 2, -1],[ 1, 1, 1]],
[[ -1, -1, 2],[ 1, 1, 1]],
[[ -2, -1, -1],[ -1, 1, 1]],
[[ 1, 2, -1],[ -1, 1, 1]],
[[ 1, -1, 2],[ -1, 1, 1]],
[[ 2, 1, -1],[ 1, -1, 1]],
[[ -1, -2, -1],[ 1, -1, 1]],
[[ -1, 1, 2],[ 1, -1, 1]],
[[ 2, -1, 1],[ -1, -1, 1]],
[[ -1, 2, 1],[ -1, -1, 1]],
[[ -1, -1, -2],[ -1, -1, 1]],
],dtype=float),
'cI' : np.array([
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
],dtype=float),
},
'Pitsch': {
'cF' : np.array([
[[ 1, 0, 1],[ 0, 1, 0]],
[[ 1, 1, 0],[ 0, 0, 1]],
[[ 0, 1, 1],[ 1, 0, 0]],
[[ 0, 1, -1],[ 1, 0, 0]],
[[ -1, 0, 1],[ 0, 1, 0]],
[[ 1, -1, 0],[ 0, 0, 1]],
[[ 1, 0, -1],[ 0, 1, 0]],
[[ -1, 1, 0],[ 0, 0, 1]],
[[ 0, -1, 1],[ 1, 0, 0]],
[[ 0, 1, 1],[ 1, 0, 0]],
[[ 1, 0, 1],[ 0, 1, 0]],
[[ 1, 1, 0],[ 0, 0, 1]],
],dtype=float),
'cI' : np.array([
[[ 1, -1, 1],[ -1, 0, 1]],
[[ 1, 1, -1],[ 1, -1, 0]],
[[ -1, 1, 1],[ 0, 1, -1]],
[[ -1, 1, -1],[ 0, -1, -1]],
[[ -1, -1, 1],[ -1, 0, -1]],
[[ 1, -1, -1],[ -1, -1, 0]],
[[ 1, -1, -1],[ -1, 0, -1]],
[[ -1, 1, -1],[ -1, -1, 0]],
[[ -1, -1, 1],[ 0, -1, -1]],
[[ -1, 1, 1],[ 0, -1, 1]],
[[ 1, -1, 1],[ 1, 0, -1]],
[[ 1, 1, -1],[ -1, 1, 0]],
],dtype=float),
},
'Bain': {
'cF' : np.array([
[[ 0, 1, 0],[ 1, 0, 0]],
[[ 0, 0, 1],[ 0, 1, 0]],
[[ 1, 0, 0],[ 0, 0, 1]],
],dtype=float),
'cI' : np.array([
[[ 0, 1, 1],[ 1, 0, 0]],
[[ 1, 0, 1],[ 0, 1, 0]],
[[ 1, 1, 0],[ 0, 0, 1]],
],dtype=float),
},
'Burgers' : {
'cI' : np.array([
[[ -1, 1, 1],[ 1, 1, 0]],
[[ -1, 1, -1],[ 1, 1, 0]],
[[ 1, 1, 1],[ 1, -1, 0]],
[[ 1, 1, -1],[ 1, -1, 0]],
[[ 1, 1, -1],[ 1, 0, 1]],
[[ -1, 1, 1],[ 1, 0, 1]],
[[ 1, 1, 1],[ -1, 0, 1]],
[[ 1, -1, 1],[ -1, 0, 1]],
[[ -1, 1, -1],[ 0, 1, 1]],
[[ 1, 1, -1],[ 0, 1, 1]],
[[ -1, 1, 1],[ 0, -1, 1]],
[[ 1, 1, 1],[ 0, -1, 1]],
],dtype=float),
'hP' : np.array([
[[ -1, 2, -1, 0],[ 0, 0, 0, 1]],
[[ -1, -1, 2, 0],[ 0, 0, 0, 1]],
[[ -1, 2, -1, 0],[ 0, 0, 0, 1]],
[[ -1, -1, 2, 0],[ 0, 0, 0, 1]],
[[ -1, 2, -1, 0],[ 0, 0, 0, 1]],
[[ -1, -1, 2, 0],[ 0, 0, 0, 1]],
[[ -1, 2, -1, 0],[ 0, 0, 0, 1]],
[[ -1, -1, 2, 0],[ 0, 0, 0, 1]],
[[ -1, 2, -1, 0],[ 0, 0, 0, 1]],
[[ -1, -1, 2, 0],[ 0, 0, 0, 1]],
[[ -1, 2, -1, 0],[ 0, 0, 0, 1]],
[[ -1, -1, 2, 0],[ 0, 0, 0, 1]],
],dtype=float),
},
}
orientation_relationships = {k:v for k,v in _orientation_relationships.items() if self.lattice in v}
if model not in orientation_relationships:
raise KeyError(f'unknown orientation relationship "{model}"')
r = orientation_relationships[model]
sl = self.lattice
ol = (set(r)-{sl}).pop()
m = r[sl]
o = r[ol]
p_,_p = np.zeros(m.shape[:-1]+(3,)),np.zeros(o.shape[:-1]+(3,))
p_[...,0,:] = m[...,0,:] if m.shape[-1] == 3 else util.Bravais_to_Miller(uvtw=m[...,0,0:4])
p_[...,1,:] = m[...,1,:] if m.shape[-1] == 3 else util.Bravais_to_Miller(hkil=m[...,1,0:4])
_p[...,0,:] = o[...,0,:] if o.shape[-1] == 3 else util.Bravais_to_Miller(uvtw=o[...,0,0:4])
_p[...,1,:] = o[...,1,:] if o.shape[-1] == 3 else util.Bravais_to_Miller(hkil=o[...,1,0:4])
return (ol,Rotation.from_parallel(p_,_p))

3
python/damask/_grid.py
View File

@ -270,7 +270,8 @@ class Grid:
cells = np.array(v.vtk_data.GetDimensions())-1
bbox = np.array(v.vtk_data.GetBounds()).reshape(3,2).T
return Grid(v.get('MaterialId').reshape(cells,order='F') - 1, bbox[1] - bbox[0], bbox[0],
return Grid(v.get('MaterialId').reshape(cells,order='F').astype('int32',casting='unsafe') - 1,
bbox[1] - bbox[0], bbox[0],
util.execution_stamp('Grid','load_Neper'))

864
python/damask/_orientation.py
View File

File diff suppressed because it is too large Load Diff

97
python/damask/_result.py
View File

@ -567,9 +567,13 @@ class Result:
formula = kwargs['formula']
for d in re.findall(r'#(.*?)#',formula):
formula = formula.replace(f'#{d}#',f"kwargs['{d}']['data']")
data = eval(formula)
if not hasattr(data,'shape') or data.shape[0] != kwargs[d]['data'].shape[0]:
raise ValueError("'{}' results in invalid shape".format(kwargs['formula']))
return {
'data': eval(formula),
'data': data,
'label': kwargs['label'],
'meta': {
'unit': kwargs['unit'],
@ -981,47 +985,39 @@ class Result:
self._add_generic_pointwise(self._add_stress_second_Piola_Kirchhoff,{'P':P,'F':F})
# The add_pole functionality needs discussion.
# The new Crystal object can perform such a calculation but the outcome depends on the lattice parameters
# as well as on whether a direction or plane is concerned (see the DAMASK_examples/pole_figure notebook).
# Below code appears to be too simplistic.
# @staticmethod
# def _add_pole(q,p,polar):
# pole = np.array(p)
# unit_pole = pole/np.linalg.norm(pole)
# m = util.scale_to_coprime(pole)
# rot = Rotation(q['data'].view(np.double).reshape(-1,4))
#
# rotatedPole = rot @ np.broadcast_to(unit_pole,rot.shape+(3,)) # rotate pole according to crystal orientation
# xy = rotatedPole[:,0:2]/(1.+abs(unit_pole[2])) # stereographic projection
# coords = xy if not polar else \
# np.block([np.sqrt(xy[:,0:1]*xy[:,0:1]+xy[:,1:2]*xy[:,1:2]),np.arctan2(xy[:,1:2],xy[:,0:1])])
# return {
# 'data': coords,
# 'label': 'p^{}_[{} {} {})'.format(u'rφ' if polar else 'xy',*m),
# 'meta' : {
# 'unit': '1',
# 'description': '{} coordinates of stereographic projection of pole (direction/plane) in crystal frame'\
# .format('Polar' if polar else 'Cartesian'),
# 'creator': 'add_pole'
# }
# }
# def add_pole(self,q,p,polar=False):
# """
# Add coordinates of stereographic projection of given pole in crystal frame.
#
# Parameters
# ----------
# q : str
# Name of the dataset containing the crystallographic orientation as quaternions.
# p : numpy.array of shape (3)
# Crystallographic direction or plane.
# polar : bool, optional
# Give pole in polar coordinates. Defaults to False.
#
# """
# self._add_generic_pointwise(self._add_pole,{'q':q},{'p':p,'polar':polar})
@staticmethod
def _add_pole(q,uvw,hkl,with_symmetry):
c = q['meta']['c/a'] if 'c/a' in q['meta'] else 1
pole = Orientation(q['data'],lattice=q['meta']['lattice'],a=1,c=c).to_pole(uvw=uvw,hkl=hkl,with_symmetry=with_symmetry)
return {
'data': pole,
'label': 'p^[{} {} {}]'.format(*uvw) if uvw else 'p^({} {} {})'.format(*hkl),
'meta' : {
'unit': '1',
'description': 'lab frame vector along lattice ' \
+ ('direction' if uvw else 'plane') \
+ ('s' if with_symmetry else ''),
'creator': 'add_pole'
}
}
def add_pole(self,q='O',*,uvw=None,hkl=None,with_symmetry=False):
"""
Add lab frame vector along lattice direction [uvw] or plane normal (hkl).
Parameters
----------
q : str
Name of the dataset containing the crystallographic orientation as quaternions.
Defaults to 'O'.
uvw|hkl : numpy.ndarray of shape (...,3)
Miller indices of crystallographic direction or plane normal.
with_symmetry : bool, optional
Calculate all N symmetrically equivalent vectors.
"""
self._add_generic_pointwise(self._add_pole,{'q':q},{'uvw':uvw,'hkl':hkl,'with_symmetry':with_symmetry})
@staticmethod
@ -1266,7 +1262,7 @@ class Result:
Arguments parsed to func.
"""
if len(datasets) != 1 or self.N_constituents !=1:
if len(datasets) != 1 or self.N_constituents != 1:
raise NotImplementedError
at_cell_ph,in_data_ph,at_cell_ho,in_data_ho = self._mappings()
@ -1313,7 +1309,8 @@ class Result:
loc = f[group+'/'+label]
datasets_in[arg]={'data' :loc[()],
'label':label,
'meta': {k:(v if h5py3 else v.decode()) for k,v in loc.attrs.items()}}
'meta': {k:(v.decode() if not h5py3 and type(v) is bytes else v) \
for k,v in loc.attrs.items()}}
lock.release()
r = func(**datasets_in,**args)
return [group,r]
@ -1366,22 +1363,24 @@ class Result:
dataset[...] = result['data']
dataset.attrs['overwritten'] = True
else:
if result['data'].size >= chunk_size*2:
shape = result['data'].shape
if result['data'].size >= chunk_size*2:
chunks = (chunk_size//np.prod(shape[1:]),)+shape[1:]
compression = ('gzip',6)
else:
chunks = shape
compression = (None,None)
dataset = f[group].create_dataset(result['label'],data=result['data'],
maxshape=shape, chunks=chunks,
compression='gzip', compression_opts=6,
compression=compression[0], compression_opts=compression[1],
shuffle=True,fletcher32=True)
else:
dataset = f[group].create_dataset(result['label'],data=result['data'])
now = datetime.datetime.now().astimezone()
dataset.attrs['created'] = now.strftime('%Y-%m-%d %H:%M:%S%z') if h5py3 else \
now.strftime('%Y-%m-%d %H:%M:%S%z').encode()
for l,v in result['meta'].items():
dataset.attrs[l.lower()]=v if h5py3 else v.encode()
dataset.attrs[l.lower()]=v.encode() if not h5py3 and type(v) is str else v
creator = dataset.attrs['creator'] if h5py3 else \
dataset.attrs['creator'].decode()
dataset.attrs['creator'] = f'damask.Result.{creator} v{damask.version}' if h5py3 else \
@ -1770,7 +1769,7 @@ class Result:
if type(obj) == h5py.Dataset and _match(output,[name]):
d = obj.attrs['description'] if h5py3 else obj.attrs['description'].decode()
if not Path(name).exists() or overwrite:
with open(name,'w') as f_out: f_out.write(obj[()].decode())
with open(name,'w') as f_out: f_out.write(obj[0].decode())
print(f"Exported {d} to '{name}'.")
else:
print(f"'{name}' exists, {d} not exported.")

213
python/damask/_rotation.py
View File

@ -120,7 +120,7 @@ class Rotation:
Parameters
----------
other : Rotation
Rotation to check for equality.
Rotation to check for inequality.
"""
return np.logical_not(self==other)
@ -236,7 +236,7 @@ class Rotation:
Parameters
----------
other : Rotation of shape(self.shape)
other : Rotation of shape (self.shape)
Rotation for composition.
Returns
@ -262,7 +262,7 @@ class Rotation:
Parameters
----------
other : Rotation of shape(self.shape)
other : Rotation of shape (self.shape)
Rotation for composition.
"""
@ -276,7 +276,7 @@ class Rotation:
Parameters
----------
other : damask.Rotation of shape (self.shape)
Rotation to inverse composition.
Rotation to invert for composition.
Returns
-------
@ -296,7 +296,7 @@ class Rotation:
Parameters
----------
other : Rotation of shape (self.shape)
Rotation to inverse composition.
Rotation to invert for composition.
"""
return self/other
@ -468,7 +468,7 @@ class Rotation:
Misorientation.
"""
return other*~self
return other/self
################################################################################################
@ -481,7 +481,7 @@ class Rotation:
Returns
-------
q : numpy.ndarray of shape (...,4)
Unit quaternion in positive real hemisphere: (q_0, q_1, q_2, q_3), ǀqǀ=1, q_0 ≥ 0.
Unit quaternion (q_0, q_1, q_2, q_3) in positive real hemisphere, i.e. ǀqǀ = 1, q_0 ≥ 0.
"""
return self.quaternion.copy()
@ -489,7 +489,7 @@ class Rotation:
def as_Euler_angles(self,
degrees = False):
"""
Represent as Bunge-Euler angles.
Represent as Bunge Euler angles.
Parameters
----------
@ -499,12 +499,16 @@ class Rotation:
Returns
-------
phi : numpy.ndarray of shape (...,3)
Bunge-Euler angles: (φ_1, ϕ, φ_2), φ_1 ∈ [0,2π], ϕ ∈ [0,π], φ_2 ∈ [0,2π]
unless degrees == True: φ_1 ∈ [0,360], ϕ ∈ [0,180], φ_2 ∈ [0,360]
Bunge Euler angles (φ_1 ∈ [0,2π], ϕ ∈ [0,π], φ_2 ∈ [0,2π])
or (φ_1 ∈ [0,360], ϕ ∈ [0,180], φ_2 ∈ [0,360]) if degrees == True.
Notes
-----
Bunge Euler angles correspond to a rotation axis sequence of z–x'–z''.
Examples
--------
Cube orientation as Bunge-Euler angles.
Cube orientation as Bunge Euler angles.
>>> import damask
>>> import numpy as np
@ -520,7 +524,7 @@ class Rotation:
degrees = False,
pair = False):
"""
Represent as axis angle pair.
Represent as axis–angle pair.
Parameters
----------
@ -531,19 +535,18 @@ class Rotation:
Returns
-------
axis_angle : numpy.ndarray of shape (...,4) unless pair == True:
tuple containing numpy.ndarray of shapes (...,3) and (...)
Axis angle pair: (n_1, n_2, n_3, ω), ǀnǀ = 1 and ω ∈ [0,π]
unless degrees = True: ω ∈ [0,180].
axis_angle : numpy.ndarray of shape (...,4) or tuple ((...,3), (...)) if pair == True
Axis and angle [n_1, n_2, n_3, ω] with ǀnǀ = 1 and ω ∈ [0,π]
or ω ∈ [0,180] if degrees == True.
Examples
--------
Cube orientation as axis angle pair.
Cube orientation as axis–angle pair.
>>> import damask
>>> import numpy as np
>>> damask.Rotation(np.array([1,0,0,0])).as_axis_angle()
array([0., 0., 1., 0.])
>>> damask.Rotation(np.array([1,0,0,0])).as_axis_angle(pair=True)
(array([0., 0., 1.]), array(0.))
"""
ax = Rotation._qu2ax(self.quaternion)
@ -557,7 +560,7 @@ class Rotation:
Returns
-------
R : numpy.ndarray of shape (...,3,3)
Rotation matrix R, det(R) = 1, R.T∙R=I.
Rotation matrix R with det(R) = 1, R.T ∙ R = I.
Examples
--------
@ -576,25 +579,23 @@ class Rotation:
def as_Rodrigues_vector(self,
compact = False):
"""
Represent as Rodrigues-Frank vector with separated axis and angle argument.
Represent as Rodrigues–Frank vector with separate axis and angle argument.
Parameters
----------
compact : bool, optional
Return as actual Rodrigues-Frank vector,
Return three-component Rodrigues–Frank vector,
i.e. axis and angle argument are not separated.
Returns
-------
rho : numpy.ndarray of shape (...,4) containing
[n_1, n_2, n_3, tan(ω/2)], ǀnǀ = 1 and ω ∈ [0,π]
unless compact == True:
numpy.ndarray of shape (...,3) containing
tan(ω/2) [n_1, n_2, n_3], ω ∈ [0,π].
rho : numpy.ndarray of shape (...,4) or (...,3) if compact == True
Rodrigues–Frank vector [n_1, n_2, n_3, tan(ω/2)] with ǀnǀ = 1 and ω ∈ [0,π]
or [n_1, n_2, n_3] with ǀnǀ = tan(ω/2) and ω ∈ [0,π] if compact == True.
Examples
--------
Cube orientation as 'real' Rodrigues-Frank vector.
Cube orientation as three-component Rodrigues–Frank vector.
>>> import damask
>>> import numpy as np
@ -616,7 +617,7 @@ class Rotation:
Returns
-------
h : numpy.ndarray of shape (...,3)
Homochoric vector: (h_1, h_2, h_3), ǀhǀ < (3/4*π)^(1/3).
Homochoric vector (h_1, h_2, h_3) with ǀhǀ < (3/4*π)^(1/3).
Examples
--------
@ -637,7 +638,7 @@ class Rotation:
Returns
-------
x : numpy.ndarray of shape (...,3)
Cubochoric vector: (x_1, x_2, x_3), max(x_i) < 1/2*π^(2/3).
Cubochoric vector (x_1, x_2, x_3) with max(x_i) < 1/2*π^(2/3).
Examples
--------
@ -664,13 +665,12 @@ class Rotation:
Parameters
----------
q : numpy.ndarray of shape (...,4)
Unit quaternion in positive real hemisphere: (q_0, q_1, q_2, q_3),
ǀqǀ=1, q_0 ≥ 0.
Unit quaternion (q_0, q_1, q_2, q_3) in positive real hemisphere, i.e. ǀqǀ = 1, q_0 ≥ 0.
accept_homomorph : boolean, optional
Allow homomorphic variants, i.e. q_0 < 0 (negative real hemisphere).
Defaults to False.
P : int ∈ {-1,1}, optional
Convention used. Defaults to -1.
Sign convention. Defaults to -1.
"""
qu = np.array(q,dtype=float)
@ -694,15 +694,19 @@ class Rotation:
def from_Euler_angles(phi,
degrees = False):
"""
Initialize from Bunge-Euler angles.
Initialize from Bunge Euler angles.
Parameters
----------
phi : numpy.ndarray of shape (...,3)
Bunge-Euler angles: (φ_1, ϕ, φ_2), φ_1 ∈ [0,2π], ϕ ∈ [0,π], φ_2 ∈ [0,2π]
unless degrees == True: φ_1 ∈ [0,360], ϕ ∈ [0,180], φ_2 ∈ [0,360].
Euler angles (φ_1 ∈ [0,2π], ϕ ∈ [0,π], φ_2 ∈ [0,2π])
or (φ_1 ∈ [0,360], ϕ ∈ [0,180], φ_2 ∈ [0,360]) if degrees == True.
degrees : boolean, optional
Bunge-Euler angles are given in degrees. Defaults to False.
Euler angles are given in degrees. Defaults to False.
Notes
-----
Bunge Euler angles correspond to a rotation axis sequence of z–x'–z''.
"""
eu = np.array(phi,dtype=float)
@ -726,14 +730,14 @@ class Rotation:
Parameters
----------
axis_angle : numpy.ndarray of shape (...,4)
Axis angle pair: [n_1, n_2, n_3, ω], ǀnǀ = 1 and ω ∈ [0,π]
unless degrees = True: ω ∈ [0,180].
Axis and angle (n_1, n_2, n_3, ω) with ǀnǀ = 1 and ω ∈ [0,π]
or ω ∈ [0,180] if degrees == True.
degrees : boolean, optional
Angle ω is given in degrees. Defaults to False.
normalize: boolean, optional
Allow ǀnǀ ≠ 1. Defaults to False.
P : int ∈ {-1,1}, optional
Convention used. Defaults to -1.
Sign convention. Defaults to -1.
"""
ax = np.array(axis_angle,dtype=float)
@ -746,10 +750,10 @@ class Rotation:
if degrees: ax[..., 3] = np.radians(ax[...,3])
if normalize: ax[...,0:3] /= np.linalg.norm(ax[...,0:3],axis=-1,keepdims=True)
if np.any(ax[...,3] < 0.0) or np.any(ax[...,3] > np.pi):
raise ValueError('Axis angle rotation angle outside of [0..π].')
raise ValueError('Axis–angle rotation angle outside of [0..π].')
if not np.all(np.isclose(np.linalg.norm(ax[...,0:3],axis=-1), 1.0)):
print(np.linalg.norm(ax[...,0:3],axis=-1))
raise ValueError('Axis angle rotation axis is not of unit length.')
raise ValueError('Axis–angle rotation axis is not of unit length.')
return Rotation(Rotation._ax2qu(ax))
@ -797,7 +801,7 @@ class Rotation:
Parameters
----------
R : numpy.ndarray of shape (...,3,3)
Rotation matrix: det(R) = 1, R.T∙R=I.
Rotation matrix with det(R) = 1, R.T ∙ R = I.
"""
return Rotation.from_basis(R)
@ -836,16 +840,16 @@ class Rotation:
normalize = False,
P = -1):
"""
Initialize from Rodrigues-Frank vector (angle separated from axis).
Initialize from Rodrigues–Frank vector (angle separated from axis).
Parameters
----------
rho : numpy.ndarray of shape (...,4)
Rodrigues-Frank vector. (n_1, n_2, n_3, tan(ω/2)), ǀnǀ = 1 and ω ∈ [0,π].
Rodrigues–Frank vector (n_1, n_2, n_3, tan(ω/2)) with ǀnǀ = 1 and ω ∈ [0,π].
normalize : boolean, optional
Allow ǀnǀ ≠ 1. Defaults to False.
P : int ∈ {-1,1}, optional
Convention used. Defaults to -1.
Sign convention. Defaults to -1.
"""
ro = np.array(rho,dtype=float)
@ -857,7 +861,7 @@ class Rotation:
ro[...,0:3] *= -P
if normalize: ro[...,0:3] /= np.linalg.norm(ro[...,0:3],axis=-1,keepdims=True)
if np.any(ro[...,3] < 0.0):
raise ValueError('Rodrigues vector rotation angle not positive.')
raise ValueError('Rodrigues vector rotation angle is negative.')
if not np.all(np.isclose(np.linalg.norm(ro[...,0:3],axis=-1), 1.0)):
raise ValueError('Rodrigues vector rotation axis is not of unit length.')
@ -872,9 +876,9 @@ class Rotation:
Parameters
----------
h : numpy.ndarray of shape (...,3)
Homochoric vector: (h_1, h_2, h_3), ǀhǀ < (3/4*π)^(1/3).
Homochoric vector (h_1, h_2, h_3) with ǀhǀ < (3/4*π)^(1/3).
P : int ∈ {-1,1}, optional
Convention used. Defaults to -1.
Sign convention. Defaults to -1.
"""
ho = np.array(h,dtype=float)
@ -899,9 +903,9 @@ class Rotation:
Parameters
----------
x : numpy.ndarray of shape (...,3)
Cubochoric vector: (x_1, x_2, x_3), max(x_i) < 1/2*π^(2/3).
Cubochoric vector (x_1, x_2, x_3) with max(x_i) < 1/2*π^(2/3).
P : int ∈ {-1,1}, optional
Convention used. Defaults to -1.
Sign convention. Defaults to -1.
"""
cu = np.array(x,dtype=float)
@ -922,18 +926,17 @@ class Rotation:
def from_random(shape = None,
rng_seed = None):
"""
Draw random rotation.
Initialize with random rotation.
Rotations are uniformly distributed.
Parameters
----------
shape : tuple of ints, optional
Shape of the sample. Defaults to None which gives a
single rotation
Shape of the sample. Defaults to None, which gives a single rotation.
rng_seed : {None, int, array_like[ints], SeedSequence, BitGenerator, Generator}, optional
A seed to initialize the BitGenerator. Defaults to None.
If None, then fresh, unpredictable entropy will be pulled from the OS.
A seed to initialize the BitGenerator.
Defaults to None, i.e. unpredictable entropy will be pulled from the OS.
"""
rng = np.random.default_rng(rng_seed)
@ -958,25 +961,25 @@ class Rotation:
rng_seed = None,
**kwargs):
"""
Sample discrete values from a binned ODF.
Sample discrete values from a binned orientation distribution function (ODF).
Parameters
----------
weights : numpy.ndarray of shape (n)
Texture intensity values (probability density or volume fraction) at Euler grid points.
Texture intensity values (probability density or volume fraction) at Euler space grid points.
phi : numpy.ndarray of shape (n,3)
Grid coordinates in Euler space at which weights are defined.
N : integer, optional
Number of discrete orientations to be sampled from the given ODF.
Defaults to 500.
degrees : boolean, optional
Euler grid values are in degrees. Defaults to True.
Euler space grid coordinates are in degrees. Defaults to True.
fractions : boolean, optional
ODF values correspond to volume fractions, not probability density.
ODF values correspond to volume fractions, not probability densities.
Defaults to True.
rng_seed: {None, int, array_like[ints], SeedSequence, BitGenerator, Generator}, optional
A seed to initialize the BitGenerator. Defaults to None, i.e. unpredictable entropy
will be pulled from the OS.
A seed to initialize the BitGenerator.
Defaults to None, i.e. unpredictable entropy will be pulled from the OS.
Returns
-------
@ -1024,12 +1027,12 @@ class Rotation:
sigma : float
Standard deviation of (Gaussian) misorientation distribution.
N : int, optional
Number of samples, defaults to 500.
Number of samples. Defaults to 500.
degrees : boolean, optional
sigma is given in degrees.
sigma is given in degrees. Defaults to True.
rng_seed : {None, int, array_like[ints], SeedSequence, BitGenerator, Generator}, optional
A seed to initialize the BitGenerator. Defaults to None, i.e. unpredictable entropy
will be pulled from the OS.
A seed to initialize the BitGenerator.
Defaults to None, i.e. unpredictable entropy will be pulled from the OS.
"""
rng = np.random.default_rng(rng_seed)
@ -1055,20 +1058,20 @@ class Rotation:
Parameters
----------
alpha : numpy.ndarray of size 2
Polar coordinates (phi from x,theta from z) of fiber direction in crystal frame.
beta : numpy.ndarray of size 2
Polar coordinates (phi from x,theta from z) of fiber direction in sample frame.
alpha : numpy.ndarray of shape (2)
Polar coordinates (phi from x, theta from z) of fiber direction in crystal frame.
beta : numpy.ndarray of shape (2)
Polar coordinates (phi from x, theta from z) of fiber direction in sample frame.
sigma : float, optional
Standard deviation of (Gaussian) misorientation distribution.
Defaults to 0.
N : int, optional
Number of samples, defaults to 500.
Number of samples. Defaults to 500.
degrees : boolean, optional
sigma, alpha, and beta are given in degrees.
rng_seed : {None, int, array_like[ints], SeedSequence, BitGenerator, Generator}, optional
A seed to initialize the BitGenerator. Defaults to None, i.e. unpredictable entropy
will be pulled from the OS.
A seed to initialize the BitGenerator.
Defaults to None, i.e. unpredictable entropy will be pulled from the OS.
"""
rng = np.random.default_rng(rng_seed)
@ -1142,7 +1145,7 @@ class Rotation:
@staticmethod
def _qu2eu(qu):
"""Quaternion to Bunge-Euler angles."""
"""Quaternion to Bunge Euler angles."""
q02 = qu[...,0:1]*qu[...,2:3]
q13 = qu[...,1:2]*qu[...,3:4]
q01 = qu[...,0:1]*qu[...,1:2]
@ -1171,9 +1174,9 @@ class Rotation:
@staticmethod
def _qu2ax(qu):
"""
Quaternion to axis angle pair.
Quaternion to axis–angle pair.
Modified version of the original formulation, should be numerically more stable
Modified version of the original formulation, should be numerically more stable.
"""
with np.errstate(invalid='ignore',divide='ignore'):
s = np.sign(qu[...,0:1])/np.sqrt(qu[...,1:2]**2+qu[...,2:3]**2+qu[...,3:4]**2)
@ -1186,7 +1189,7 @@ class Rotation:
@staticmethod
def _qu2ro(qu):
"""Quaternion to Rodrigues-Frank vector."""
"""Quaternion to Rodrigues–Frank vector."""
with np.errstate(invalid='ignore',divide='ignore'):
s = np.linalg.norm(qu[...,1:4],axis=-1,keepdims=True)
ro = np.where(np.broadcast_to(np.abs(qu[...,0:1]) < 1.0e-12,qu.shape),
@ -1260,7 +1263,7 @@ class Rotation:
@staticmethod
def _om2eu(om):
"""Rotation matrix to Bunge-Euler angles."""
"""Rotation matrix to Bunge Euler angles."""
with np.errstate(invalid='ignore',divide='ignore'):
zeta = 1.0/np.sqrt(1.0-om[...,2,2:3]**2)
eu = np.where(np.isclose(np.abs(om[...,2,2:3]),1.0,0.0),
@ -1279,7 +1282,7 @@ class Rotation:
@staticmethod
def _om2ax(om):
"""Rotation matrix to axis angle pair."""
"""Rotation matrix to axis–angle pair."""
diag_delta = -_P*np.block([om[...,1,2:3]-om[...,2,1:2],
om[...,2,0:1]-om[...,0,2:3],
om[...,0,1:2]-om[...,1,0:1]
@ -1300,7 +1303,7 @@ class Rotation:
@staticmethod
def _om2ro(om):
"""Rotation matrix to Rodrigues-Frank vector."""
"""Rotation matrix to Rodrigues–Frank vector."""
return Rotation._eu2ro(Rotation._om2eu(om))
@staticmethod
@ -1314,10 +1317,10 @@ class Rotation:
return Rotation._ho2cu(Rotation._om2ho(om))
#---------- Bunge-Euler angles ----------
#---------- Bunge Euler angles ----------
@staticmethod
def _eu2qu(eu):
"""Bunge-Euler angles to quaternion."""
"""Bunge Euler angles to quaternion."""
ee = 0.5*eu
cPhi = np.cos(ee[...,1:2])
sPhi = np.sin(ee[...,1:2])
@ -1330,7 +1333,7 @@ class Rotation:
@staticmethod
def _eu2om(eu):
"""Bunge-Euler angles to rotation matrix."""
"""Bunge Euler angles to rotation matrix."""
c = np.cos(eu)
s = np.sin(eu)
om = np.block([+c[...,0:1]*c[...,2:3]-s[...,0:1]*s[...,2:3]*c[...,1:2],
@ -1348,7 +1351,7 @@ class Rotation:
@staticmethod
def _eu2ax(eu):
"""Bunge-Euler angles to axis angle pair."""
"""Bunge Euler angles to axis–angle pair."""
t = np.tan(eu[...,1:2]*0.5)
sigma = 0.5*(eu[...,0:1]+eu[...,2:3])
delta = 0.5*(eu[...,0:1]-eu[...,2:3])
@ -1367,7 +1370,7 @@ class Rotation:
@staticmethod
def _eu2ro(eu):
"""Bunge-Euler angles to Rodrigues-Frank vector."""
"""Bunge Euler angles to Rodrigues–Frank vector."""
ax = Rotation._eu2ax(eu)
ro = np.block([ax[...,:3],np.tan(ax[...,3:4]*.5)])
ro[ax[...,3]>=np.pi,3] = np.inf
@ -1376,19 +1379,19 @@ class Rotation:
@staticmethod
def _eu2ho(eu):
"""Bunge-Euler angles to homochoric vector."""
"""Bunge Euler angles to homochoric vector."""
return Rotation._ax2ho(Rotation._eu2ax(eu))
@staticmethod
def _eu2cu(eu):
"""Bunge-Euler angles to cubochoric vector."""
"""Bunge Euler angles to cubochoric vector."""
return Rotation._ho2cu(Rotation._eu2ho(eu))
#---------- Axis angle pair ----------
@staticmethod
def _ax2qu(ax):
"""Axis angle pair to quaternion."""
"""Axis–angle pair to quaternion."""
c = np.cos(ax[...,3:4]*.5)
s = np.sin(ax[...,3:4]*.5)
qu = np.where(np.abs(ax[...,3:4])<1.e-6,[1.0, 0.0, 0.0, 0.0],np.block([c, ax[...,:3]*s]))
@ -1396,7 +1399,7 @@ class Rotation:
@staticmethod
def _ax2om(ax):
"""Axis angle pair to rotation matrix."""
"""Axis-angle pair to rotation matrix."""
c = np.cos(ax[...,3:4])
s = np.sin(ax[...,3:4])
omc = 1. -c
@ -1418,7 +1421,7 @@ class Rotation:
@staticmethod
def _ax2ro(ax):
"""Axis angle pair to Rodrigues-Frank vector."""
"""Axis–angle pair to Rodrigues–Frank vector."""
ro = np.block([ax[...,:3],
np.where(np.isclose(ax[...,3:4],np.pi,atol=1.e-15,rtol=.0),
np.inf,
@ -1429,36 +1432,36 @@ class Rotation:
@staticmethod
def _ax2ho(ax):
"""Axis angle pair to homochoric vector."""
"""Axis–angle pair to homochoric vector."""
f = (0.75 * ( ax[...,3:4] - np.sin(ax[...,3:4]) ))**(1.0/3.0)
ho = ax[...,:3] * f
return ho
@staticmethod
def _ax2cu(ax):
"""Axis angle pair to cubochoric vector."""
"""Axis–angle pair to cubochoric vector."""
return Rotation._ho2cu(Rotation._ax2ho(ax))
#---------- Rodrigues-Frank vector ----------
@staticmethod
def _ro2qu(ro):
"""Rodrigues-Frank vector to quaternion."""
"""Rodrigues–Frank vector to quaternion."""
return Rotation._ax2qu(Rotation._ro2ax(ro))
@staticmethod
def _ro2om(ro):
"""Rodgrigues-Frank vector to rotation matrix."""
"""Rodgrigues–Frank vector to rotation matrix."""
return Rotation._ax2om(Rotation._ro2ax(ro))
@staticmethod
def _ro2eu(ro):
"""Rodrigues-Frank vector to Bunge-Euler angles."""
"""Rodrigues–Frank vector to Bunge Euler angles."""
return Rotation._om2eu(Rotation._ro2om(ro))
@staticmethod
def _ro2ax(ro):
"""Rodrigues-Frank vector to axis angle pair."""
"""Rodrigues–Frank vector to axis–angle pair."""
with np.errstate(invalid='ignore',divide='ignore'):
ax = np.where(np.isfinite(ro[...,3:4]),
np.block([ro[...,0:3]*np.linalg.norm(ro[...,0:3],axis=-1,keepdims=True),2.*np.arctan(ro[...,3:4])]),
@ -1468,7 +1471,7 @@ class Rotation:
@staticmethod
def _ro2ho(ro):
"""Rodrigues-Frank vector to homochoric vector."""
"""Rodrigues–Frank vector to homochoric vector."""
f = np.where(np.isfinite(ro[...,3:4]),2.0*np.arctan(ro[...,3:4]) -np.sin(2.0*np.arctan(ro[...,3:4])),np.pi)
ho = np.where(np.broadcast_to(np.sum(ro[...,0:3]**2.0,axis=-1,keepdims=True) < 1.e-8,ro[...,0:3].shape),
np.zeros(3), ro[...,0:3]* (0.75*f)**(1.0/3.0))
@ -1476,7 +1479,7 @@ class Rotation:
@staticmethod
def _ro2cu(ro):
"""Rodrigues-Frank vector to cubochoric vector."""
"""Rodrigues–Frank vector to cubochoric vector."""
return Rotation._ho2cu(Rotation._ro2ho(ro))
@ -1493,12 +1496,12 @@ class Rotation:
@staticmethod
def _ho2eu(ho):
"""Homochoric vector to Bunge-Euler angles."""
"""Homochoric vector to Bunge Euler angles."""
return Rotation._ax2eu(Rotation._ho2ax(ho))
@staticmethod
def _ho2ax(ho):
"""Homochoric vector to axis angle pair."""
"""Homochoric vector to axis–angle pair."""
tfit = np.array([+1.0000000000018852, -0.5000000002194847,
-0.024999992127593126, -0.003928701544781374,
-0.0008152701535450438, -0.0002009500426119712,
@ -1521,7 +1524,7 @@ class Rotation:
@staticmethod
def _ho2ro(ho):
"""Axis angle pair to Rodrigues-Frank vector."""
"""Axis–angle pair to Rodrigues–Frank vector."""
return Rotation._ax2ro(Rotation._ho2ax(ho))
@staticmethod
@ -1576,17 +1579,17 @@ class Rotation:
@staticmethod
def _cu2eu(cu):
"""Cubochoric vector to Bunge-Euler angles."""
"""Cubochoric vector to Bunge Euler angles."""
return Rotation._ho2eu(Rotation._cu2ho(cu))
@staticmethod
def _cu2ax(cu):
"""Cubochoric vector to axis angle pair."""
"""Cubochoric vector to axis–angle pair."""
return Rotation._ho2ax(Rotation._cu2ho(cu))
@staticmethod
def _cu2ro(cu):
"""Cubochoric vector to Rodrigues-Frank vector."""
"""Cubochoric vector to Rodrigues–Frank vector."""
return Rotation._ho2ro(Rotation._cu2ho(cu))
@staticmethod
@ -1642,7 +1645,7 @@ class Rotation:
Parameters
----------
xyz : numpy.ndarray
coordinates of a point on a uniform refinable grid on a ball or
Coordinates of a point on a uniform refinable grid on a ball or
in a uniform refinable cubical grid.
References

269
python/damask/_test.py
View File

@ -1,269 +0,0 @@
import os
import sys
import shutil
import logging
import logging.config
from optparse import OptionParser
from pathlib import Path
import damask
class Test:
"""
General class for testing.
Is sub-classed by the individual tests.
"""
variants = []
def __init__(self, **kwargs):
"""New test."""
defaults = {'description': '',
'keep': False,
'accept': False,
'updateRequest': False,
'show': False,
'select': None,
}
for arg in defaults.keys():
setattr(self,arg,kwargs.get(arg) if kwargs.get(arg) else defaults[arg])
fh = logging.FileHandler('test.log') # create file handler which logs even debug messages
fh.setLevel(logging.DEBUG)
fh.setFormatter(logging.Formatter('%(asctime)s - %(levelname)s: \n%(message)s'))
ch = logging.StreamHandler(stream=sys.stdout) # create console handler with a higher log level
ch.setLevel(logging.INFO)
ch.setFormatter(logging.Formatter('%(message)s'))
logger = logging.getLogger()
logger.addHandler(fh)
logger.addHandler(ch)
logger.setLevel(0)
logging.info('\n'.join(['+'*40,
'-'*40,
'| '+self.description,
'-'*40,
]))
self.dirBase = os.path.dirname(os.path.realpath(sys.modules[self.__class__.__module__].__file__))
self.parser = OptionParser(description = f'{self.description} (Test class version: {damask.version})',
usage = './test.py [options]')
self.parser.add_option("-k", "--keep",
action = "store_true",
dest = "keep",
help = "keep current results, just run postprocessing")
self.parser.add_option("--ok", "--accept",
action = "store_true",
dest = "accept",
help = "calculate results but always consider test as successful")
self.parser.add_option("-l", "--list",
action = "store_true",
dest = "show",
help = "show all test variants without actual calculation")
self.parser.add_option("-s", "--select",
dest = "select",
help = "run test(s) of given name only")
self.parser.set_defaults(keep = self.keep,
accept = self.accept,
update = self.updateRequest,
show = self.show,
select = self.select,
)
def variantName(self,variant):
"""Generate name of (numerical) variant."""
return str(variant)
def execute(self):
"""Run all variants and report first failure."""
if not self.options.keep:
self.clean()
self.prepareAll()
for variant,object in enumerate(self.variants):
name = self.variantName(variant)
if self.options.show:
logging.critical(f'{variant+1}: {name}')
elif self.options.select is not None \
and not (name in self.options.select or str(variant+1) in self.options.select):
pass
else:
try:
if not self.options.keep:
self.prepare(variant)
self.run(variant)
self.postprocess(variant)
if self.options.update:
if self.update(variant) != 0: logging.critical(f'update for "{name}" failed.')
elif not (self.options.accept or self.compare(variant)): # no update, do comparison
return variant+1 # return culprit
except Exception as e:
logging.critical(f'exception during variant execution: "{e}"')
return variant+1 # return culprit
return 0
def clean(self):
"""Delete directory tree containing current results."""
try:
shutil.rmtree(self.dirCurrent())
except FileNotFoundError:
logging.warning(f'removal of directory "{self.dirCurrent()}" not possible...')
try:
os.mkdir(self.dirCurrent())
return True
except FileExistsError:
logging.critical(f'creation of directory "{self.dirCurrent()}" failed.')
return False
def prepareAll(self):
"""Do all necessary preparations for the whole test."""
return True
def prepare(self,variant):
"""Do all necessary preparations for the run of each test variant."""
return True
def run(self,variant):
"""Execute the requested test variant."""
return True
def postprocess(self,variant):
"""Perform post-processing of generated results for this test variant."""
return True
def compare(self,variant):
"""Compare reference to current results."""
return True
def update(self,variant):
"""Update reference with current results."""
logging.critical('update not supported.')
return 1
def dirReference(self):
"""Directory containing reference results of the test."""
return os.path.normpath(os.path.join(self.dirBase,'reference/'))
def dirCurrent(self):
"""Directory containing current results of the test."""
return os.path.normpath(os.path.join(self.dirBase,'current/'))
def fileInRoot(self,dir,file):
"""Path to a file in the root directory of DAMASK."""
return str(Path(os.environ['DAMASK_ROOT'])/dir/file)
def fileInReference(self,file):
"""Path to a file in the refrence directory for the test."""
return os.path.join(self.dirReference(),file)
def fileInCurrent(self,file):
"""Path to a file in the current results directory for the test."""
return os.path.join(self.dirCurrent(),file)
def copy(self, mapA, mapB,
A = [], B = []):
"""
Copy list of files from (mapped) source to target.
mapA/B is one of self.fileInX.
"""
if not B or len(B) == 0: B = A
for source,target in zip(list(map(mapA,A)),list(map(mapB,B))):
try:
shutil.copy2(source,target)
except FileNotFoundError:
logging.critical(f'error copying {source} to {target}')
raise FileNotFoundError
def copy_Reference2Current(self,sourcefiles=[],targetfiles=[]):
if len(targetfiles) == 0: targetfiles = sourcefiles
for i,f in enumerate(sourcefiles):
try:
shutil.copy2(self.fileInReference(f),self.fileInCurrent(targetfiles[i]))
except FileNotFoundError:
logging.critical(f'Reference2Current: Unable to copy file "{f}"')
raise FileNotFoundError
def copy_Base2Current(self,sourceDir,sourcefiles=[],targetfiles=[]):
source = os.path.normpath(os.path.join(self.dirBase,'../../..',sourceDir))
if len(targetfiles) == 0: targetfiles = sourcefiles
for i,f in enumerate(sourcefiles):
try:
shutil.copy2(os.path.join(source,f),self.fileInCurrent(targetfiles[i]))
except FileNotFoundError:
logging.error(os.path.join(source,f))
logging.critical(f'Base2Current: Unable to copy file "{f}"')
raise FileNotFoundError
def copy_Current2Reference(self,sourcefiles=[],targetfiles=[]):
if len(targetfiles) == 0: targetfiles = sourcefiles
for i,f in enumerate(sourcefiles):
try:
shutil.copy2(self.fileInCurrent(f),self.fileInReference(targetfiles[i]))
except FileNotFoundError:
logging.critical(f'Current2Reference: Unable to copy file "{f}"')
raise FileNotFoundError
def copy_Current2Current(self,sourcefiles=[],targetfiles=[]):
for i,f in enumerate(sourcefiles):
try:
shutil.copy2(self.fileInReference(f),self.fileInCurrent(targetfiles[i]))
except FileNotFoundError:
logging.critical(f'Current2Current: Unable to copy file "{f}"')
raise FileNotFoundError
def execute_inCurrentDir(self,cmd,env=None):
logging.info(cmd)
out,error = damask.util.execute(cmd,self.dirCurrent())
logging.info(error)
logging.debug(out)
return out,error
def report_Success(self,culprit):
ret = culprit
if culprit == 0:
count = len(self.variants) if self.options.select is None else len(self.options.select)
msg = ('Test passed.' if count == 1 else f'All {count} tests passed.') + '\a\a\a'
elif culprit == -1:
msg = 'Warning: could not start test...'
ret = 0
else:
msg = f'Test "{self.variantName(culprit-1)}" failed.'
logging.critical('\n'.join(['*'*40,msg,'*'*40]) + '\n')
return ret

4
python/damask/_vtk.py
View File

@ -121,7 +121,7 @@ class VTK:
"""
vtk_nodes = vtk.vtkPoints()
vtk_nodes.SetData(np_to_vtk(nodes))
vtk_nodes.SetData(np_to_vtk(np.ascontiguousarray(nodes)))
cells = vtk.vtkCellArray()
cells.SetNumberOfCells(connectivity.shape[0])
T = np.concatenate((np.ones((connectivity.shape[0],1),dtype=np.int64)*connectivity.shape[1],
@ -157,7 +157,7 @@ class VTK:
"""
N = points.shape[0]
vtk_points = vtk.vtkPoints()
vtk_points.SetData(np_to_vtk(points))
vtk_points.SetData(np_to_vtk(np.ascontiguousarray(points)))
vtk_cells = vtk.vtkCellArray()
vtk_cells.SetNumberOfCells(N)

501
python/damask/lattice.py
View File

@ -1,501 +0,0 @@
import numpy as _np
def Bravais_to_Miller(*,uvtw=None,hkil=None):
"""
Transform 4 Miller–Bravais indices to 3 Miller indices of crystal direction [uvw] or plane normal (hkl).
Parameters
----------
uvtw|hkil : numpy.ndarray of shape (...,4)
Miller–Bravais indices of crystallographic direction [uvtw] or plane normal (hkil).
Returns
-------
uvw|hkl : numpy.ndarray of shape (...,3)
Miller indices of [uvw] direction or (hkl) plane normal.
"""
if (uvtw is not None) ^ (hkil is None):
raise KeyError('Specify either "uvtw" or "hkil"')
axis,basis = (_np.array(uvtw),_np.array([[1,0,-1,0],
[0,1,-1,0],
[0,0, 0,1]])) \
if hkil is None else \
(_np.array(hkil),_np.array([[1,0,0,0],
[0,1,0,0],
[0,0,0,1]]))
return _np.einsum('il,...l',basis,axis)
def Miller_to_Bravais(*,uvw=None,hkl=None):
"""
Transform 3 Miller indices to 4 Miller–Bravais indices of crystal direction [uvtw] or plane normal (hkil).
Parameters
----------
uvw|hkl : numpy.ndarray of shape (...,3)
Miller indices of crystallographic direction [uvw] or plane normal (hkl).
Returns
-------
uvtw|hkil : numpy.ndarray of shape (...,4)
Miller–Bravais indices of [uvtw] direction or (hkil) plane normal.
"""
if (uvw is not None) ^ (hkl is None):
raise KeyError('Specify either "uvw" or "hkl"')
axis,basis = (_np.array(uvw),_np.array([[ 2,-1, 0],
[-1, 2, 0],
[-1,-1, 0],
[ 0, 0, 3]])/3) \
if hkl is None else \
(_np.array(hkl),_np.array([[ 1, 0, 0],
[ 0, 1, 0],
[-1,-1, 0],
[ 0, 0, 1]]))
return _np.einsum('il,...l',basis,axis)
kinematics = {
'cF': {
'slip' : _np.array([
[+0,+1,-1 , +1,+1,+1],
[-1,+0,+1 , +1,+1,+1],
[+1,-1,+0 , +1,+1,+1],
[+0,-1,-1 , -1,-1,+1],
[+1,+0,+1 , -1,-1,+1],
[-1,+1,+0 , -1,-1,+1],
[+0,-1,+1 , +1,-1,-1],
[-1,+0,-1 , +1,-1,-1],
[+1,+1,+0 , +1,-1,-1],
[+0,+1,+1 , -1,+1,-1],
[+1,+0,-1 , -1,+1,-1],
[-1,-1,+0 , -1,+1,-1],
[+1,+1,+0 , +1,-1,+0],
[+1,-1,+0 , +1,+1,+0],
[+1,+0,+1 , +1,+0,-1],
[+1,+0,-1 , +1,+0,+1],
[+0,+1,+1 , +0,+1,-1],
[+0,+1,-1 , +0,+1,+1],
],'d'),
'twin' : _np.array([
[-2, 1, 1, 1, 1, 1],
[ 1,-2, 1, 1, 1, 1],
[ 1, 1,-2, 1, 1, 1],
[ 2,-1, 1, -1,-1, 1],
[-1, 2, 1, -1,-1, 1],
[-1,-1,-2, -1,-1, 1],
[-2,-1,-1, 1,-1,-1],
[ 1, 2,-1, 1,-1,-1],
[ 1,-1, 2, 1,-1,-1],
[ 2, 1,-1, -1, 1,-1],
[-1,-2,-1, -1, 1,-1],
[-1, 1, 2, -1, 1,-1],
],dtype=float),
},
'cI': {
'slip' : _np.array([
[+1,-1,+1 , +0,+1,+1],
[-1,-1,+1 , +0,+1,+1],
[+1,+1,+1 , +0,-1,+1],
[-1,+1,+1 , +0,-1,+1],
[-1,+1,+1 , +1,+0,+1],
[-1,-1,+1 , +1,+0,+1],
[+1,+1,+1 , -1,+0,+1],
[+1,-1,+1 , -1,+0,+1],
[-1,+1,+1 , +1,+1,+0],
[-1,+1,-1 , +1,+1,+0],
[+1,+1,+1 , -1,+1,+0],
[+1,+1,-1 , -1,+1,+0],
[-1,+1,+1 , +2,+1,+1],
[+1,+1,+1 , -2,+1,+1],
[+1,+1,-1 , +2,-1,+1],
[+1,-1,+1 , +2,+1,-1],
[+1,-1,+1 , +1,+2,+1],
[+1,+1,-1 , -1,+2,+1],
[+1,+1,+1 , +1,-2,+1],
[-1,+1,+1 , +1,+2,-1],
[+1,+1,-1 , +1,+1,+2],
[+1,-1,+1 , -1,+1,+2],
[-1,+1,+1 , +1,-1,+2],
[+1,+1,+1 , +1,+1,-2],
[+1,+1,-1 , +1,+2,+3],
[+1,-1,+1 , -1,+2,+3],
[-1,+1,+1 , +1,-2,+3],
[+1,+1,+1 , +1,+2,-3],
[+1,-1,+1 , +1,+3,+2],
[+1,+1,-1 , -1,+3,+2],
[+1,+1,+1 , +1,-3,+2],
[-1,+1,+1 , +1,+3,-2],
[+1,+1,-1 , +2,+1,+3],
[+1,-1,+1 , -2,+1,+3],
[-1,+1,+1 , +2,-1,+3],
[+1,+1,+1 , +2,+1,-3],
[+1,-1,+1 , +2,+3,+1],
[+1,+1,-1 , -2,+3,+1],
[+1,+1,+1 , +2,-3,+1],
[-1,+1,+1 , +2,+3,-1],
[-1,+1,+1 , +3,+1,+2],
[+1,+1,+1 , -3,+1,+2],
[+1,+1,-1 , +3,-1,+2],
[+1,-1,+1 , +3,+1,-2],
[-1,+1,+1 , +3,+2,+1],
[+1,+1,+1 , -3,+2,+1],
[+1,+1,-1 , +3,-2,+1],
[+1,-1,+1 , +3,+2,-1],
],'d'),
'twin' : _np.array([
[-1, 1, 1, 2, 1, 1],
[ 1, 1, 1, -2, 1, 1],
[ 1, 1,-1, 2,-1, 1],
[ 1,-1, 1, 2, 1,-1],
[ 1,-1, 1, 1, 2, 1],
[ 1, 1,-1, -1, 2, 1],
[ 1, 1, 1, 1,-2, 1],
[-1, 1, 1, 1, 2,-1],
[ 1, 1,-1, 1, 1, 2],
[ 1,-1, 1, -1, 1, 2],
[-1, 1, 1, 1,-1, 2],
[ 1, 1, 1, 1, 1,-2],
],dtype=float),
},
'hP': {
'slip' : _np.array([
[+2,-1,-1,+0 , +0,+0,+0,+1],
[-1,+2,-1,+0 , +0,+0,+0,+1],
[-1,-1,+2,+0 , +0,+0,+0,+1],
[+2,-1,-1,+0 , +0,+1,-1,+0],
[-1,+2,-1,+0 , -1,+0,+1,+0],
[-1,-1,+2,+0 , +1,-1,+0,+0],
[-1,+1,+0,+0 , +1,+1,-2,+0],
[+0,-1,+1,+0 , -2,+1,+1,+0],
[+1,+0,-1,+0 , +1,-2,+1,+0],
[-1,+2,-1,+0 , +1,+0,-1,+1],
[-2,+1,+1,+0 , +0,+1,-1,+1],
[-1,-1,+2,+0 , -1,+1,+0,+1],
[+1,-2,+1,+0 , -1,+0,+1,+1],
[+2,-1,-1,+0 , +0,-1,+1,+1],
[+1,+1,-2,+0 , +1,-1,+0,+1],
[-2,+1,+1,+3 , +1,+0,-1,+1],
[-1,-1,+2,+3 , +1,+0,-1,+1],
[-1,-1,+2,+3 , +0,+1,-1,+1],
[+1,-2,+1,+3 , +0,+1,-1,+1],
[+1,-2,+1,+3 , -1,+1,+0,+1],
[+2,-1,-1,+3 , -1,+1,+0,+1],
[+2,-1,-1,+3 , -1,+0,+1,+1],
[+1,+1,-2,+3 , -1,+0,+1,+1],
[+1,+1,-2,+3 , +0,-1,+1,+1],
[-1,+2,-1,+3 , +0,-1,+1,+1],
[-1,+2,-1,+3 , +1,-1,+0,+1],
[-2,+1,+1,+3 , +1,-1,+0,+1],
[-1,-1,+2,+3 , +1,+1,-2,+2],
[+1,-2,+1,+3 , -1,+2,-1,+2],
[+2,-1,-1,+3 , -2,+1,+1,+2],
[+1,+1,-2,+3 , -1,-1,+2,+2],
[-1,+2,-1,+3 , +1,-2,+1,+2],
[-2,+1,+1,+3 , +2,-1,-1,+2],
],'d'),
'twin' : _np.array([
[-1, 0, 1, 1, 1, 0, -1, 2], # shear = (3-(c/a)^2)/(sqrt(3) c/a) <-10.1>{10.2}
[ 0, -1, 1, 1, 0, 1, -1, 2],
[ 1, -1, 0, 1, -1, 1, 0, 2],
[ 1, 0, -1, 1, -1, 0, 1, 2],
[ 0, 1, -1, 1, 0, -1, 1, 2],
[-1, 1, 0, 1, 1, -1, 0, 2],
[-1, -1, 2, 6, 1, 1, -2, 1], # shear = 1/(c/a) <11.6>{-1-1.1}
[ 1, -2, 1, 6, -1, 2, -1, 1],
[ 2, -1, -1, 6, -2, 1, 1, 1],
[ 1, 1, -2, 6, -1, -1, 2, 1],
[-1, 2, -1, 6, 1, -2, 1, 1],
[-2, 1, 1, 6, 2, -1, -1, 1],
[ 1, 0, -1, -2, 1, 0, -1, 1], # shear = (4(c/a)^2-9)/(4 sqrt(3) c/a) <10.-2>{10.1}
[ 0, 1, -1, -2, 0, 1, -1, 1],
[-1, 1, 0, -2, -1, 1, 0, 1],
[-1, 0, 1, -2, -1, 0, 1, 1],
[ 0, -1, 1, -2, 0, -1, 1, 1],
[ 1, -1, 0, -2, 1, -1, 0, 1],
[ 1, 1, -2, -3, 1, 1, -2, 2], # shear = 2((c/a)^2-2)/(3 c/a) <11.-3>{11.2}
[-1, 2, -1, -3, -1, 2, -1, 2],
[-2, 1, 1, -3, -2, 1, 1, 2],
[-1, -1, 2, -3, -1, -1, 2, 2],
[ 1, -2, 1, -3, 1, -2, 1, 2],
[ 2, -1, -1, -3, 2, -1, -1, 2],
],dtype=float),
},
}
# Kurdjomov--Sachs orientation relationship for fcc <-> bcc transformation
# from S. Morito et al., Journal of Alloys and Compounds 577:s587-s592, 2013
# also see K. Kitahara et al., Acta Materialia 54:1279-1288, 2006
relations = {
'KS': {
'cF' : _np.array([
[[ -1, 0, 1],[ 1, 1, 1]],
[[ -1, 0, 1],[ 1, 1, 1]],
[[ 0, 1, -1],[ 1, 1, 1]],
[[ 0, 1, -1],[ 1, 1, 1]],
[[ 1, -1, 0],[ 1, 1, 1]],
[[ 1, -1, 0],[ 1, 1, 1]],
[[ 1, 0, -1],[ 1, -1, 1]],
[[ 1, 0, -1],[ 1, -1, 1]],
[[ -1, -1, 0],[ 1, -1, 1]],
[[ -1, -1, 0],[ 1, -1, 1]],
[[ 0, 1, 1],[ 1, -1, 1]],
[[ 0, 1, 1],[ 1, -1, 1]],
[[ 0, -1, 1],[ -1, 1, 1]],
[[ 0, -1, 1],[ -1, 1, 1]],
[[ -1, 0, -1],[ -1, 1, 1]],
[[ -1, 0, -1],[ -1, 1, 1]],
[[ 1, 1, 0],[ -1, 1, 1]],
[[ 1, 1, 0],[ -1, 1, 1]],
[[ -1, 1, 0],[ 1, 1, -1]],
[[ -1, 1, 0],[ 1, 1, -1]],
[[ 0, -1, -1],[ 1, 1, -1]],
[[ 0, -1, -1],[ 1, 1, -1]],
[[ 1, 0, 1],[ 1, 1, -1]],
[[ 1, 0, 1],[ 1, 1, -1]],
],dtype=float),
'cI' : _np.array([
[[ -1, -1, 1],[ 0, 1, 1]],
[[ -1, 1, -1],[ 0, 1, 1]],
[[ -1, -1, 1],[ 0, 1, 1]],
[[ -1, 1, -1],[ 0, 1, 1]],
[[ -1, -1, 1],[ 0, 1, 1]],
[[ -1, 1, -1],[ 0, 1, 1]],
[[ -1, -1, 1],[ 0, 1, 1]],
[[ -1, 1, -1],[ 0, 1, 1]],
[[ -1, -1, 1],[ 0, 1, 1]],
[[ -1, 1, -1],[ 0, 1, 1]],
[[ -1, -1, 1],[ 0, 1, 1]],
[[ -1, 1, -1],[ 0, 1, 1]],
[[ -1, -1, 1],[ 0, 1, 1]],
[[ -1, 1, -1],[ 0, 1, 1]],
[[ -1, -1, 1],[ 0, 1, 1]],
[[ -1, 1, -1],[ 0, 1, 1]],
[[ -1, -1, 1],[ 0, 1, 1]],
[[ -1, 1, -1],[ 0, 1, 1]],
[[ -1, -1, 1],[ 0, 1, 1]],
[[ -1, 1, -1],[ 0, 1, 1]],
[[ -1, -1, 1],[ 0, 1, 1]],
[[ -1, 1, -1],[ 0, 1, 1]],
[[ -1, -1, 1],[ 0, 1, 1]],
[[ -1, 1, -1],[ 0, 1, 1]],
],dtype=float),
},
'GT': {
'cF' : _np.array([
[[ -5,-12, 17],[ 1, 1, 1]],
[[ 17, -5,-12],[ 1, 1, 1]],
[[-12, 17, -5],[ 1, 1, 1]],
[[ 5, 12, 17],[ -1, -1, 1]],
[[-17, 5,-12],[ -1, -1, 1]],
[[ 12,-17, -5],[ -1, -1, 1]],
[[ -5, 12,-17],[ -1, 1, 1]],
[[ 17, 5, 12],[ -1, 1, 1]],
[[-12,-17, 5],[ -1, 1, 1]],
[[ 5,-12,-17],[ 1, -1, 1]],
[[-17, -5, 12],[ 1, -1, 1]],
[[ 12, 17, 5],[ 1, -1, 1]],
[[ -5, 17,-12],[ 1, 1, 1]],
[[-12, -5, 17],[ 1, 1, 1]],
[[ 17,-12, -5],[ 1, 1, 1]],
[[ 5,-17,-12],[ -1, -1, 1]],
[[ 12, 5, 17],[ -1, -1, 1]],
[[-17, 12, -5],[ -1, -1, 1]],
[[ -5,-17, 12],[ -1, 1, 1]],
[[-12, 5,-17],[ -1, 1, 1]],
[[ 17, 12, 5],[ -1, 1, 1]],
[[ 5, 17, 12],[ 1, -1, 1]],
[[ 12, -5,-17],[ 1, -1, 1]],
[[-17,-12, 5],[ 1, -1, 1]],
],dtype=float),
'cI' : _np.array([
[[-17, -7, 17],[ 1, 0, 1]],
[[ 17,-17, -7],[ 1, 1, 0]],
[[ -7, 17,-17],[ 0, 1, 1]],
[[ 17, 7, 17],[ -1, 0, 1]],
[[-17, 17, -7],[ -1, -1, 0]],
[[ 7,-17,-17],[ 0, -1, 1]],
[[-17, 7,-17],[ -1, 0, 1]],
[[ 17, 17, 7],[ -1, 1, 0]],
[[ -7,-17, 17],[ 0, 1, 1]],
[[ 17, -7,-17],[ 1, 0, 1]],
[[-17,-17, 7],[ 1, -1, 0]],
[[ 7, 17, 17],[ 0, -1, 1]],
[[-17, 17, -7],[ 1, 1, 0]],
[[ -7,-17, 17],[ 0, 1, 1]],
[[ 17, -7,-17],[ 1, 0, 1]],
[[ 17,-17, -7],[ -1, -1, 0]],
[[ 7, 17, 17],[ 0, -1, 1]],
[[-17, 7,-17],[ -1, 0, 1]],
[[-17,-17, 7],[ -1, 1, 0]],
[[ -7, 17,-17],[ 0, 1, 1]],
[[ 17, 7, 17],[ -1, 0, 1]],
[[ 17, 17, 7],[ 1, -1, 0]],
[[ 7,-17,-17],[ 0, -1, 1]],
[[-17, -7, 17],[ 1, 0, 1]],
],dtype=float),
},
'GT_prime': {
'cF' : _np.array([
[[ 0, 1, -1],[ 7, 17, 17]],
[[ -1, 0, 1],[ 17, 7, 17]],
[[ 1, -1, 0],[ 17, 17, 7]],
[[ 0, -1, -1],[ -7,-17, 17]],
[[ 1, 0, 1],[-17, -7, 17]],
[[ 1, -1, 0],[-17,-17, 7]],
[[ 0, 1, -1],[ 7,-17,-17]],
[[ 1, 0, 1],[ 17, -7,-17]],
[[ -1, -1, 0],[ 17,-17, -7]],
[[ 0, -1, -1],[ -7, 17,-17]],
[[ -1, 0, 1],[-17, 7,-17]],
[[ -1, -1, 0],[-17, 17, -7]],
[[ 0, -1, 1],[ 7, 17, 17]],
[[ 1, 0, -1],[ 17, 7, 17]],
[[ -1, 1, 0],[ 17, 17, 7]],
[[ 0, 1, 1],[ -7,-17, 17]],
[[ -1, 0, -1],[-17, -7, 17]],
[[ -1, 1, 0],[-17,-17, 7]],
[[ 0, -1, 1],[ 7,-17,-17]],
[[ -1, 0, -1],[ 17, -7,-17]],
[[ 1, 1, 0],[ 17,-17, -7]],
[[ 0, 1, 1],[ -7, 17,-17]],
[[ 1, 0, -1],[-17, 7,-17]],
[[ 1, 1, 0],[-17, 17, -7]],
],dtype=float),
'cI' : _np.array([
[[ 1, 1, -1],[ 12, 5, 17]],
[[ -1, 1, 1],[ 17, 12, 5]],
[[ 1, -1, 1],[ 5, 17, 12]],
[[ -1, -1, -1],[-12, -5, 17]],
[[ 1, -1, 1],[-17,-12, 5]],
[[ 1, -1, -1],[ -5,-17, 12]],
[[ -1, 1, -1],[ 12, -5,-17]],
[[ 1, 1, 1],[ 17,-12, -5]],
[[ -1, -1, 1],[ 5,-17,-12]],
[[ 1, -1, -1],[-12, 5,-17]],
[[ -1, -1, 1],[-17, 12, -5]],
[[ -1, -1, -1],[ -5, 17,-12]],
[[ 1, -1, 1],[ 12, 17, 5]],
[[ 1, 1, -1],[ 5, 12, 17]],
[[ -1, 1, 1],[ 17, 5, 12]],
[[ -1, 1, 1],[-12,-17, 5]],
[[ -1, -1, -1],[ -5,-12, 17]],
[[ -1, 1, -1],[-17, -5, 12]],
[[ -1, -1, 1],[ 12,-17, -5]],
[[ -1, 1, -1],[ 5,-12,-17]],
[[ 1, 1, 1],[ 17, -5,-12]],
[[ 1, 1, 1],[-12, 17, -5]],
[[ 1, -1, -1],[ -5, 12,-17]],
[[ 1, 1, -1],[-17, 5,-12]],
],dtype=float),
},
'NW': {
'cF' : _np.array([
[[ 2, -1, -1],[ 1, 1, 1]],
[[ -1, 2, -1],[ 1, 1, 1]],
[[ -1, -1, 2],[ 1, 1, 1]],
[[ -2, -1, -1],[ -1, 1, 1]],
[[ 1, 2, -1],[ -1, 1, 1]],
[[ 1, -1, 2],[ -1, 1, 1]],
[[ 2, 1, -1],[ 1, -1, 1]],
[[ -1, -2, -1],[ 1, -1, 1]],
[[ -1, 1, 2],[ 1, -1, 1]],
[[ 2, -1, 1],[ -1, -1, 1]],
[[ -1, 2, 1],[ -1, -1, 1]],
[[ -1, -1, -2],[ -1, -1, 1]],
],dtype=float),
'cI' : _np.array([
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
[[ 0, -1, 1],[ 0, 1, 1]],
],dtype=float),
},
'Pitsch': {
'cF' : _np.array([
[[ 1, 0, 1],[ 0, 1, 0]],
[[ 1, 1, 0],[ 0, 0, 1]],
[[ 0, 1, 1],[ 1, 0, 0]],
[[ 0, 1, -1],[ 1, 0, 0]],
[[ -1, 0, 1],[ 0, 1, 0]],
[[ 1, -1, 0],[ 0, 0, 1]],
[[ 1, 0, -1],[ 0, 1, 0]],
[[ -1, 1, 0],[ 0, 0, 1]],
[[ 0, -1, 1],[ 1, 0, 0]],
[[ 0, 1, 1],[ 1, 0, 0]],
[[ 1, 0, 1],[ 0, 1, 0]],
[[ 1, 1, 0],[ 0, 0, 1]],
],dtype=float),
'cI' : _np.array([
[[ 1, -1, 1],[ -1, 0, 1]],
[[ 1, 1, -1],[ 1, -1, 0]],
[[ -1, 1, 1],[ 0, 1, -1]],
[[ -1, 1, -1],[ 0, -1, -1]],
[[ -1, -1, 1],[ -1, 0, -1]],
[[ 1, -1, -1],[ -1, -1, 0]],
[[ 1, -1, -1],[ -1, 0, -1]],
[[ -1, 1, -1],[ -1, -1, 0]],
[[ -1, -1, 1],[ 0, -1, -1]],
[[ -1, 1, 1],[ 0, -1, 1]],
[[ 1, -1, 1],[ 1, 0, -1]],
[[ 1, 1, -1],[ -1, 1, 0]],
],dtype=float),
},
'Bain': {
'cF' : _np.array([
[[ 0, 1, 0],[ 1, 0, 0]],
[[ 0, 0, 1],[ 0, 1, 0]],
[[ 1, 0, 0],[ 0, 0, 1]],
],dtype=float),
'cI' : _np.array([
[[ 0, 1, 1],[ 1, 0, 0]],
[[ 1, 0, 1],[ 0, 1, 0]],
[[ 1, 1, 0],[ 0, 0, 1]],
],dtype=float),
},
'Burgers' : {
'cI' : _np.array([
[[ -1, 1, 1],[ 1, 1, 0]],
[[ -1, 1, -1],[ 1, 1, 0]],
[[ 1, 1, 1],[ 1, -1, 0]],
[[ 1, 1, -1],[ 1, -1, 0]],
[[ 1, 1, -1],[ 1, 0, 1]],
[[ -1, 1, 1],[ 1, 0, 1]],
[[ 1, 1, 1],[ -1, 0, 1]],
[[ 1, -1, 1],[ -1, 0, 1]],
[[ -1, 1, -1],[ 0, 1, 1]],
[[ 1, 1, -1],[ 0, 1, 1]],
[[ -1, 1, 1],[ 0, -1, 1]],
[[ 1, 1, 1],[ 0, -1, 1]],
],dtype=float),
'hP' : _np.array([
[[ -1, 2, -1, 0],[ 0, 0, 0, 1]],
[[ -1, -1, 2, 0],[ 0, 0, 0, 1]],
[[ -1, 2, -1, 0],[ 0, 0, 0, 1]],
[[ -1, -1, 2, 0],[ 0, 0, 0, 1]],
[[ -1, 2, -1, 0],[ 0, 0, 0, 1]],
[[ -1, -1, 2, 0],[ 0, 0, 0, 1]],
[[ -1, 2, -1, 0],[ 0, 0, 0, 1]],
[[ -1, -1, 2, 0],[ 0, 0, 0, 1]],
[[ -1, 2, -1, 0],[ 0, 0, 0, 1]],
[[ -1, -1, 2, 0],[ 0, 0, 0, 1]],
[[ -1, 2, -1, 0],[ 0, 0, 0, 1]],
[[ -1, -1, 2, 0],[ 0, 0, 0, 1]],
],dtype=float),
},
}

10
python/damask/mechanics.py
View File

@ -257,18 +257,18 @@ def _polar_decomposition(T,requested):
u, _, vh = _np.linalg.svd(T)
R = _np.einsum('...ij,...jk',u,vh)
output = []
output = ()
if 'R' in requested:
output.append(R)
output+=(R,)
if 'V' in requested:
output.append(_np.einsum('...ij,...kj',T,R))
output+=(_np.einsum('...ij,...kj',T,R),)
if 'U' in requested:
output.append(_np.einsum('...ji,...jk',R,T))
output+=(_np.einsum('...ji,...jk',R,T),)
if len(output) == 0:
raise ValueError('output needs to be out of V, R, U')
return tuple(output)
return output
def _equivalent_Mises(T_sym,s):

30
python/damask/solver/_marc.py
View File

@ -8,7 +8,7 @@ _msc_root = '/opt/msc'
_damask_root = str(Path(__file__).parents[3])
class Marc:
"""Wrapper to run DAMASK with MSCMarc."""
"""Wrapper to run DAMASK with MSC.Marc."""
def __init__(self,msc_version=_msc_version,msc_root=_msc_root,damask_root=_damask_root):
"""
@ -47,20 +47,33 @@ class Marc:
def submit_job(self, model, job,
compile = False,
optimization = ''):
"""
Assemble command line arguments and call Marc executable.
usersub = self.damask_root/'src/DAMASK_Marc'
usersub = usersub.parent/(usersub.name + ('.f90' if compile else '.marc'))
Parameters
----------
model : str
Name of model.
job : str
Name of job.
compile : bool, optional
Compile DAMASK_Marc user subroutine (and save for future use).
Defaults to False.
optimization : str, optional
Optimization level '' (-O0), 'l' (-O1), or 'h' (-O3).
Defaults to ''.
"""
usersub = (self.damask_root/'src/DAMASK_Marc').with_suffix('.f90' if compile else '.marc')
if not usersub.is_file():
raise FileNotFoundError(f'subroutine ({"source" if compile else "binary"}) "{usersub}" not found')
# Define options [see Marc Installation and Operation Guide, pp 23]
script = f'run_damask_{optimization}mp'
cmd = str(self.tools_path/script) + \
' -jid ' + model+'_'+job + \
' -nprocd 1 -autorst 0 -ci n -cr n -dcoup 0 -b no -v no'
cmd += ' -u ' + str(usersub) + ' -save y' if compile else \
' -prog ' + str(usersub.with_suffix(''))
cmd = f'{self.tools_path/script} -jid {model}_{job} -nprocd 1 -autorst 0 -ci n -cr n -dcoup 0 -b no -v no ' \
+ (f'-u {usersub} -save y' if compile else f'-prog {usersub.with_suffix("")}')
print(cmd)
ret = subprocess.run(shlex.split(cmd),capture_output=True)
@ -75,4 +88,3 @@ class Marc:
print(ret.stderr.decode())
print(ret.stdout.decode())
raise RuntimeError('Marc simulation failed (unknown return value)')

99
python/damask/util.py
View File

@ -17,8 +17,8 @@ from . import version
# limit visibility
__all__=[
'srepr',
'emph','deemph','warn','strikeout',
'execute',
'emph', 'deemph', 'warn', 'strikeout',
'run',
'natural_sort',
'show_progress',
'scale_to_coprime',
@ -27,6 +27,7 @@ __all__=[
'execution_stamp',
'shapeshifter', 'shapeblender',
'extend_docstring', 'extended_docstring',
'Bravais_to_Miller', 'Miller_to_Bravais',
'DREAM3D_base_group', 'DREAM3D_cell_data_group',
'dict_prune', 'dict_flatten'
]
@ -143,9 +144,9 @@ def strikeout(what):
return _colors['crossout']+srepr(what)+_colors['end_color']
def execute(cmd,wd='./',env=None):
def run(cmd,wd='./',env=None,timeout=None):
"""
Execute command.
Run a command.
Parameters
----------
@ -155,20 +156,23 @@ def execute(cmd,wd='./',env=None):
Working directory of process. Defaults to ./ .
env : dict, optional
Environment for execution.
timeout : integer, optional
Timeout in seconds.
Returns
-------
stdout, stderr : str
stdout, stderr : (str, str)
Output of the executed command.
"""
print(f"executing '{cmd}' in '{wd}'")
print(f"running '{cmd}' in '{wd}'")
process = subprocess.run(shlex.split(cmd),
stdout = subprocess.PIPE,
stderr = subprocess.PIPE,
env = os.environ if env is None else env,
cwd = wd,
encoding = 'utf-8')
encoding = 'utf-8',
timeout = timeout)
if process.returncode != 0:
print(process.stdout)
@ -178,6 +182,9 @@ def execute(cmd,wd='./',env=None):
return process.stdout, process.stderr
execute = run
def natural_sort(key):
"""
Natural sort.
@ -286,6 +293,8 @@ def project_stereographic(vector,direction='z',normalize=True,keepdims=False):
Examples
--------
>>> import damask
>>> import numpy as np
>>> project_stereographic(np.ones(3))
[0.3660254, 0.3660254]
>>> project_stereographic(np.ones(3),direction='x',normalize=False,keepdims=True)
@ -338,7 +347,7 @@ def hybrid_IA(dist,N,rng_seed=None):
def shapeshifter(fro,to,mode='left',keep_ones=False):
"""
Return a tuple that reshapes 'fro' to become broadcastable to 'to'.
Return dimensions that reshape 'fro' to become broadcastable to 'to'.
Parameters
----------
@ -355,7 +364,25 @@ def shapeshifter(fro,to,mode='left',keep_ones=False):
Treat '1' in fro as literal value instead of dimensional placeholder.
Defaults to False.
Returns
-------
new_dims : tuple
Dimensions for reshape.
Example
-------
>>> import numpy as np
>>> from damask import util
>>> a = np.ones((3,4,2))
>>> b = np.ones(4)
>>> b_extended = b.reshape(util.shapeshifter(b.shape,a.shape))
>>> (a * np.broadcast_to(b_extended,a.shape)).shape
(3,4,2)
"""
if not len(fro) and not len(to): return ()
beg = dict(left ='(^.*\\b)',
right='(^.*?\\b)')
sep = dict(left ='(.*\\b)',
@ -499,6 +526,62 @@ def DREAM3D_cell_data_group(fname):
return cell_data_group
def Bravais_to_Miller(*,uvtw=None,hkil=None):
"""
Transform 4 Miller–Bravais indices to 3 Miller indices of crystal direction [uvw] or plane normal (hkl).
Parameters
----------
uvtw|hkil : numpy.ndarray of shape (...,4)
Miller–Bravais indices of crystallographic direction [uvtw] or plane normal (hkil).
Returns
-------
uvw|hkl : numpy.ndarray of shape (...,3)
Miller indices of [uvw] direction or (hkl) plane normal.
"""
if (uvtw is not None) ^ (hkil is None):
raise KeyError('Specify either "uvtw" or "hkil"')
axis,basis = (np.array(uvtw),np.array([[1,0,-1,0],
[0,1,-1,0],
[0,0, 0,1]])) \
if hkil is None else \
(np.array(hkil),np.array([[1,0,0,0],
[0,1,0,0],
[0,0,0,1]]))
return np.einsum('il,...l',basis,axis)
def Miller_to_Bravais(*,uvw=None,hkl=None):
"""
Transform 3 Miller indices to 4 Miller–Bravais indices of crystal direction [uvtw] or plane normal (hkil).
Parameters
----------
uvw|hkl : numpy.ndarray of shape (...,3)
Miller indices of crystallographic direction [uvw] or plane normal (hkl).
Returns
-------
uvtw|hkil : numpy.ndarray of shape (...,4)
Miller–Bravais indices of [uvtw] direction or (hkil) plane normal.
"""
if (uvw is not None) ^ (hkl is None):
raise KeyError('Specify either "uvw" or "hkl"')
axis,basis = (np.array(uvw),np.array([[ 2,-1, 0],
[-1, 2, 0],
[-1,-1, 0],
[ 0, 0, 3]])/3) \
if hkl is None else \
(np.array(hkl),np.array([[ 1, 0, 0],
[ 0, 1, 0],
[-1,-1, 0],
[ 0, 0, 1]]))
return np.einsum('il,...l',basis,axis)
def dict_prune(d):
"""
Recursively remove empty dictionaries.

5
python/setup.py
View File

@ -16,14 +16,15 @@ setuptools.setup(
url='https://damask.mpie.de',
packages=setuptools.find_packages(),
include_package_data=True,
python_requires = '>=3.6',
python_requires = '>=3.7',
install_requires = [
'pandas>=0.24', # requires numpy
'numpy>=1.17', # needed for default_rng
'scipy>=1.2',
'h5py>=2.9', # requires numpy
'vtk>=8.1',
'matplotlib>=3.0', # requires numpy, pillow
'pyaml>=3.12'
'pyyaml>=3.12'
],
classifiers = [
'Intended Audience :: Science/Research',

2
python/tests/reference/Grid/n10-id1_scaled.vti vendored
View File

@ -3,7 +3,7 @@
<ImageData WholeExtent="0 5 0 6 0 7" Origin="0 0 0" Spacing="0.2 0.333333333333 0.428571428571" Direction="1 0 0 0 1 0 0 0 1">
<FieldData>
<Array type="String" Name="comments" NumberOfTuples="1" format="binary">
AQAAAACAAABPAAAAVgAAAA==eF4FwW0KgCAMANCO4s8iJnNLIS/Qv64Qo9kHGYlB5+89lVvey071VJsf0WVOJVXzsUWLILkcwkAUYCfdfJCwDqYlJAcYwHlDHB1FHnskxK75AdGCFTk=
AQAAAACAAABPAAAAVQAAAA==eF4FwVEKgCAQBcCO4mcRK291heoC/XWF2FAqMhKDzt9M1Fvfy871jDY/GtcllVTN5y0sSHM5VEhYaMcQePMMNq2DY8JI7A2HCW4S6eGArvkBvNAUlg==
</Array>
</FieldData>
<Piece Extent="0 5 0 6 0 7">

BIN
python/tests/reference/Grid/n10-id1_scaled.vtk vendored
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Binary file not shown.

BIN
python/tests/reference/Result/12grains6x7x8_tensionY.hdf5 vendored
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BIN
python/tests/reference/Result/4grains2x4x3_compressionY.hdf5 vendored
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BIN
python/tests/reference/Result/6grains6x7x8_single_phase_tensionY.hdf5 vendored
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12
python/tests/reference/Result/compressionY.yaml vendored
View File

@ -5,12 +5,12 @@ solver:
loadstep:
- boundary_conditions:
mechanical:
dot_F: [x, 0, 0,
0, -1.0e-3, 0,
0, 0, x]
P: [0, x, x,
x, x, x,
x, x, 0]
dot_F: [[x, 0, 0],
[0, -1.0e-3, 0],
[0, 0, x]]
P: [[0, x, x],
[x, x, x],
[x, x, 0]]
discretization:
t: 5
N: 10

2
python/tests/reference/Result/export_VTK/test_vtk[0-0-0].md5 vendored
View File

@ -1 +1 @@
d5db0be324a959f00245e42704ea2d6f
a40baead936c79dd4f86f84ad858b9fa

2
python/tests/reference/Result/export_VTK/test_vtk[0-0-1].md5 vendored
View File

@ -1 +1 @@
fe9ddaf54ac1fb785094251d29fcdc9c
6fb37bd65934de859dd6b6e0191e7d64

2
python/tests/reference/Result/export_VTK/test_vtk[0-0-2].md5 vendored
View File

@ -1 +1 @@
9c8ac0bb1eb4a7b9ebc3e5fd5840b0a4
61953c35f61f3234b98d78a912e7dc83

1
python/tests/reference/Result/export_VTK/test_vtk[0-0-3].md5 vendored Normal file
View File

@ -0,0 +1 @@
bb783bb80ff04dd435e814f4b82a3234

2
python/tests/reference/Result/export_VTK/test_vtk[1-0-0].md5 vendored
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@ -1 +1 @@
1b9ebd17c5257e2edba48d006f25d4e6
4f85d2613aa70622a2d5f49dc8bf2eb2

2
python/tests/reference/Result/export_VTK/test_vtk[1-0-1].md5 vendored
View File

@ -1 +1 @@
8967bb1a6c329a072baaa83da534ae56
e1ca5306082fc3ab411f5ddab1a2e370

2
python/tests/reference/Result/export_VTK/test_vtk[1-0-2].md5 vendored
View File

@ -1 +1 @@
752e8b6186ad2b6b1b5c781940669cb1
1641c3b3641e942ffc325d471bdfaf00

1
python/tests/reference/Result/export_VTK/test_vtk[1-0-3].md5 vendored Normal file
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@ -0,0 +1 @@
ba97286c5d95bf817143f7bb9cf58421

12
python/tests/reference/Result/tensionY.yaml vendored
View File

@ -5,12 +5,12 @@ solver:
loadstep:
- boundary_conditions:
mechanical:
dot_F: [x, 0, 0,
0, 1.0e-3, 0,
0, 0, x]
P: [0, x, x,
x, x, x,
x, x, 0]
dot_F: [[x, 0, 0],
[0, 1.0e-3, 0],
[0, 0, x]]
P: [[0, x, x],
[x, x, x],
[x, x, 0]]
discretization:
t: 20
N: 40

81
python/tests/test_Crystal.py Normal file
View File

@ -0,0 +1,81 @@
import pytest
import numpy as np
import damask
from damask import Crystal
class TestCrystal:
@pytest.mark.parametrize('lattice,family',[('aP','cubic'),('xI','cubic')])
def test_invalid_init(self,lattice,family):
with pytest.raises(KeyError):
Crystal(family=family,lattice=lattice)
def test_eq(self):
family = np.random.choice(list(damask._crystal.lattice_symmetries.values()))
assert Crystal(family=family) == Crystal(family=family)
def test_double_to_lattice(self):
c = Crystal(lattice='cF')
with pytest.raises(KeyError):
c.to_lattice(direction=np.ones(3),plane=np.ones(3))
def test_double_to_frame(self):
c = Crystal(lattice='cF')
with pytest.raises(KeyError):
c.to_frame(uvw=np.ones(3),hkl=np.ones(3))
@pytest.mark.parametrize('lattice,a,b,c,alpha,beta,gamma',
[
('aP',0.5,2.0,3.0,0.8,0.5,1.2),
('mP',1.0,2.0,3.0,np.pi/2,0.5,np.pi/2),
('oI',0.5,1.5,3.0,np.pi/2,np.pi/2,np.pi/2),
('tP',0.5,0.5,3.0,np.pi/2,np.pi/2,np.pi/2),
('hP',1.0,None,1.6,np.pi/2,np.pi/2,2*np.pi/3),
('cF',1.0,1.0,None,np.pi/2,np.pi/2,np.pi/2),
])
def test_bases_contraction(self,lattice,a,b,c,alpha,beta,gamma):
c = Crystal(lattice=lattice,
a=a,b=b,c=c,
alpha=alpha,beta=beta,gamma=gamma)
assert np.allclose(np.eye(3),np.einsum('ik,jk',c.basis_real,c.basis_reciprocal))
@pytest.mark.parametrize('keyFrame,keyLattice',[('uvw','direction'),('hkl','plane'),])
@pytest.mark.parametrize('vector',np.array([
[1.,1.,1.],
[-2.,3.,0.5],
[0.,0.,1.],
[1.,1.,1.],
[2.,2.,2.],
[0.,1.,1.],
]))
@pytest.mark.parametrize('lattice,a,b,c,alpha,beta,gamma',
[
('aP',0.5,2.0,3.0,0.8,0.5,1.2),
('mP',1.0,2.0,3.0,np.pi/2,0.5,np.pi/2),
('oI',0.5,1.5,3.0,np.pi/2,np.pi/2,np.pi/2),
('tP',0.5,0.5,3.0,np.pi/2,np.pi/2,np.pi/2),
('hP',1.0,1.0,1.6,np.pi/2,np.pi/2,2*np.pi/3),
('cF',1.0,1.0,1.0,np.pi/2,np.pi/2,np.pi/2),
])
def test_to_frame_to_lattice(self,lattice,a,b,c,alpha,beta,gamma,vector,keyFrame,keyLattice):
c = Crystal(lattice=lattice,
a=a,b=b,c=c,
alpha=alpha,beta=beta,gamma=gamma)
assert np.allclose(vector,
c.to_frame(**{keyFrame:c.to_lattice(**{keyLattice:vector})}))
@pytest.mark.parametrize('lattice,a,b,c,alpha,beta,gamma,points',
[
('aP',0.5,2.0,3.0,0.8,0.5,1.2,[[0,0,0]]),
('mS',1.0,2.0,3.0,np.pi/2,0.5,np.pi/2,[[0,0,0],[0.5,0.5,0.0]]),
('oI',0.5,1.5,3.0,np.pi/2,np.pi/2,np.pi/2,[[0,0,0],[0.5,0.5,0.5]]),
('hP',1.0,1.0,1.6,np.pi/2,np.pi/2,2*np.pi/3,[[0,0,0],[2./3.,1./3.,0.5]]),
('cF',1.0,1.0,1.0,np.pi/2,np.pi/2,np.pi/2,[[0,0,0],[0.0,0.5,0.5],[0.5,0.0,0.5],[0.5,0.5,0.0]]),
])
def test_lattice_points(self,lattice,a,b,c,alpha,beta,gamma,points):
c = Crystal(lattice=lattice,
a=a,b=b,c=c,
alpha=alpha,beta=beta,gamma=gamma)
assert np.allclose(points,c.lattice_points)

2
python/tests/test_Grid.py
View File

@ -1,5 +1,6 @@
import pytest
import numpy as np
import vtk
from damask import VTK
from damask import Grid
@ -410,6 +411,7 @@ class TestGrid:
@pytest.mark.parametrize('periodic',[True,False])
@pytest.mark.parametrize('direction',['x','y','z',['x','y'],'zy','xz',['x','y','z']])
@pytest.mark.xfail(int(vtk.vtkVersion.GetVTKVersion().split('.')[0])<8, reason='missing METADATA')
def test_get_grain_boundaries(self,update,ref_path,periodic,direction):
grid = Grid.load(ref_path/'get_grain_boundaries_8g12x15x20.vti')
current = grid.get_grain_boundaries(periodic,direction)

461
python/tests/test_Orientation.py
View File

@ -7,10 +7,9 @@ from damask import Orientation
from damask import Table
from damask import util
from damask import grid_filters
from damask import lattice
from damask import _orientation
from damask import _crystal
crystal_families = set(_orientation.lattice_symmetries.values())
crystal_families = set(_crystal.lattice_symmetries.values())
@pytest.fixture
@ -25,38 +24,42 @@ def set_of_rodrigues(set_of_quaternions):
class TestOrientation:
@pytest.mark.parametrize('lattice',crystal_families)
@pytest.mark.parametrize('family',crystal_families)
@pytest.mark.parametrize('shape',[None,5,(4,6)])
def test_equal(self,lattice,shape):
def test_equal(self,family,shape):
R = Rotation.from_random(shape)
assert Orientation(R,lattice) == Orientation(R,lattice) if shape is None else \
(Orientation(R,lattice) == Orientation(R,lattice)).all()
assert Orientation(R,family=family) == Orientation(R,family=family) if shape is None else \
(Orientation(R,family=family) == Orientation(R,family=family)).all()
@pytest.mark.parametrize('lattice',crystal_families)
@pytest.mark.parametrize('family',crystal_families)
@pytest.mark.parametrize('shape',[None,5,(4,6)])
def test_unequal(self,lattice,shape):
def test_unequal(self,family,shape):
R = Rotation.from_random(shape)
assert not ( Orientation(R,lattice) != Orientation(R,lattice) if shape is None else \
(Orientation(R,lattice) != Orientation(R,lattice)).any())
assert not ( Orientation(R,family=family) != Orientation(R,family=family) if shape is None else \
(Orientation(R,family=family) != Orientation(R,family=family)).any())
@pytest.mark.parametrize('lattice',crystal_families)
@pytest.mark.parametrize('family',crystal_families)
@pytest.mark.parametrize('shape',[None,5,(4,6)])
def test_close(self,lattice,shape):
R = Orientation.from_random(lattice=lattice,shape=shape)
def test_close(self,family,shape):
R = Orientation.from_random(family=family,shape=shape)
assert R.isclose(R.reduced).all() and R.allclose(R.reduced)
@pytest.mark.parametrize('a,b',[
(dict(rotation=[1,0,0,0],lattice='triclinic'),
dict(rotation=[0.5,0.5,0.5,0.5],lattice='triclinic')),
(dict(rotation=[1,0,0,0],family='triclinic'),
dict(rotation=[0.5,0.5,0.5,0.5],family='triclinic')),
(dict(rotation=[1,0,0,0],lattice='cubic'),
dict(rotation=[1,0,0,0],lattice='hexagonal')),
(dict(rotation=[1,0,0,0],family='cubic'),
dict(rotation=[1,0,0,0],family='hexagonal')),
])
def test_unequal_family(self,a,b):
assert Orientation(**a) != Orientation(**b)
@pytest.mark.parametrize('a,b',[
(dict(rotation=[1,0,0,0],lattice='cF',a=1),
dict(rotation=[1,0,0,0],lattice='cF',a=2)),
])
def test_nonequal(self,a,b):
def test_unequal_lattice(self,a,b):
assert Orientation(**a) != Orientation(**b)
@pytest.mark.parametrize('kwargs',[
@ -72,7 +75,17 @@ class TestOrientation:
])
def test_invalid_init(self,kwargs):
with pytest.raises(ValueError):
Orientation(**kwargs).parameters # noqa
Orientation(**kwargs)
@pytest.mark.parametrize('invalid_family',[None,'fcc','bcc','hello'])
def test_invalid_family_init(self,invalid_family):
with pytest.raises(KeyError):
Orientation(family=invalid_family)
@pytest.mark.parametrize('invalid_lattice',[None,'fcc','bcc','hello'])
def test_invalid_lattice_init(self,invalid_lattice):
with pytest.raises(KeyError):
Orientation(lattice=invalid_lattice)
@pytest.mark.parametrize('kwargs',[
dict(lattice='aP',a=1.0,b=1.1,c=1.2,alpha=np.pi/4,beta=np.pi/3,gamma=np.pi/2),
@ -100,47 +113,47 @@ class TestOrientation:
assert o != p
def test_from_quaternion(self):
assert np.all(Orientation.from_quaternion(q=np.array([1,0,0,0]),lattice='triclinic').as_matrix()
assert np.all(Orientation.from_quaternion(q=np.array([1,0,0,0]),family='triclinic').as_matrix()
== np.eye(3))
def test_from_Euler_angles(self):
assert np.all(Orientation.from_Euler_angles(phi=np.zeros(3),lattice='triclinic').as_matrix()
assert np.all(Orientation.from_Euler_angles(phi=np.zeros(3),family='triclinic').as_matrix()
== np.eye(3))
def test_from_axis_angle(self):
assert np.all(Orientation.from_axis_angle(axis_angle=[1,0,0,0],lattice='triclinic').as_matrix()
assert np.all(Orientation.from_axis_angle(axis_angle=[1,0,0,0],family='triclinic').as_matrix()
== np.eye(3))
def test_from_basis(self):
assert np.all(Orientation.from_basis(basis=np.eye(3),lattice='triclinic').as_matrix()
assert np.all(Orientation.from_basis(basis=np.eye(3),family='triclinic').as_matrix()
== np.eye(3))
def test_from_matrix(self):
assert np.all(Orientation.from_matrix(R=np.eye(3),lattice='triclinic').as_matrix()
assert np.all(Orientation.from_matrix(R=np.eye(3),family='triclinic').as_matrix()
== np.eye(3))
def test_from_Rodrigues_vector(self):
assert np.all(Orientation.from_Rodrigues_vector(rho=np.array([0,0,1,0]),lattice='triclinic').as_matrix()
assert np.all(Orientation.from_Rodrigues_vector(rho=np.array([0,0,1,0]),family='triclinic').as_matrix()
== np.eye(3))
def test_from_homochoric(self):
assert np.all(Orientation.from_homochoric(h=np.zeros(3),lattice='triclinic').as_matrix()
assert np.all(Orientation.from_homochoric(h=np.zeros(3),family='triclinic').as_matrix()
== np.eye(3))
def test_from_cubochoric(self):
assert np.all(Orientation.from_cubochoric(x=np.zeros(3),lattice='triclinic').as_matrix()
assert np.all(Orientation.from_cubochoric(x=np.zeros(3),family='triclinic').as_matrix()
== np.eye(3))
def test_from_spherical_component(self):
assert np.all(Orientation.from_spherical_component(center=Rotation(),
sigma=0.0,N=1,lattice='triclinic').as_matrix()
sigma=0.0,N=1,family='triclinic').as_matrix()
== np.eye(3))
def test_from_fiber_component(self):
r = Rotation.from_fiber_component(alpha=np.zeros(2),beta=np.zeros(2),
sigma=0.0,N=1,rng_seed=0)
assert np.all(Orientation.from_fiber_component(alpha=np.zeros(2),beta=np.zeros(2),
sigma=0.0,N=1,rng_seed=0,lattice='triclinic').quaternion
sigma=0.0,N=1,rng_seed=0,family='triclinic').quaternion
== r.quaternion)
@pytest.mark.parametrize('kwargs',[
@ -185,26 +198,35 @@ class TestOrientation:
with pytest.raises(ValueError):
Orientation(lattice='aP',a=1,b=2,c=3,alpha=45,beta=45,gamma=90.0001,degrees=True) # noqa
@pytest.mark.parametrize('lattice',crystal_families)
@pytest.mark.parametrize('family',crystal_families)
@pytest.mark.parametrize('angle',[10,20,30,40])
def test_average(self,angle,lattice):
o = Orientation.from_axis_angle(lattice=lattice,axis_angle=[[0,0,1,10],[0,0,1,angle]],degrees=True)
def test_average(self,angle,family):
o = Orientation.from_axis_angle(family=family,axis_angle=[[0,0,1,10],[0,0,1,angle]],degrees=True)
avg_angle = o.average().as_axis_angle(degrees=True,pair=True)[1]
assert np.isclose(avg_angle,10+(angle-10)/2.)
@pytest.mark.parametrize('lattice',crystal_families)
def test_reduced_equivalent(self,lattice):
i = Orientation(lattice=lattice)
o = Orientation.from_random(lattice=lattice)
@pytest.mark.parametrize('family',crystal_families)
def test_reduced_equivalent(self,family):
i = Orientation(family=family)
o = Orientation.from_random(family=family)
eq = o.equivalent
FZ = np.argmin(abs(eq.misorientation(i.broadcast_to(len(eq))).as_axis_angle(pair=True)[1]))
assert o.reduced == eq[FZ]
@pytest.mark.parametrize('lattice',crystal_families)
@pytest.mark.parametrize('family',crystal_families)
def test_reduced_corner_cases(self,family):
# test whether there is always a sym-eq rotation that falls into the FZ
N = np.random.randint(10,40)
size = np.ones(3)*np.pi**(2./3.)
grid = grid_filters.coordinates0_node([N+1,N+1,N+1],size,-size*.5)
evenly_distributed = Orientation.from_cubochoric(x=grid[:-2,:-2,:-2],family=family)
assert evenly_distributed.shape == evenly_distributed.reduced.shape
@pytest.mark.parametrize('family',crystal_families)
@pytest.mark.parametrize('N',[1,8,32])
def test_disorientation(self,lattice,N):
o = Orientation.from_random(lattice=lattice,shape=N)
p = Orientation.from_random(lattice=lattice,shape=N)
def test_disorientation(self,family,N):
o = Orientation.from_random(family=family,shape=N)
p = Orientation.from_random(family=family,shape=N)
d,ops = o.disorientation(p,return_operators=True)
@ -218,156 +240,30 @@ class TestOrientation:
.misorientation(p[n].equivalent[ops[n][1]])
.as_quaternion())
@pytest.mark.parametrize('lattice',crystal_families)
@pytest.mark.parametrize('a,b',[
((2,3,2),(2,3,2)),
((2,2),(4,4)),
((3,1),(1,3)),
(None,None),
])
def test_disorientation_blending(self,lattice,a,b):
o = Orientation.from_random(lattice=lattice,shape=a)
p = Orientation.from_random(lattice=lattice,shape=b)
blend = util.shapeblender(o.shape,p.shape)
for loc in np.random.randint(0,blend,(10,len(blend))):
assert o[tuple(loc[:len(o.shape)])].disorientation(p[tuple(loc[-len(p.shape):])]) \
.isclose(o.disorientation(p)[tuple(loc)])
@pytest.mark.parametrize('lattice',crystal_families)
def test_disorientation360(self,lattice):
o_1 = Orientation(Rotation(),lattice)
o_2 = Orientation.from_Euler_angles(lattice=lattice,phi=[360,0,0],degrees=True)
@pytest.mark.parametrize('family',crystal_families)
def test_disorientation360(self,family):
o_1 = Orientation(Rotation(),family=family)
o_2 = Orientation.from_Euler_angles(family=family,phi=[360,0,0],degrees=True)
assert np.allclose((o_1.disorientation(o_2)).as_matrix(),np.eye(3))
@pytest.mark.parametrize('lattice',crystal_families)
@pytest.mark.parametrize('shape',[(1),(2,3),(4,3,2)])
def test_reduced_vectorization(self,lattice,shape):
o = Orientation.from_random(lattice=lattice,shape=shape)
for r, theO in zip(o.reduced.flatten(),o.flatten()):
assert r == theO.reduced
@pytest.mark.parametrize('lattice',crystal_families)
def test_reduced_corner_cases(self,lattice):
# test whether there is always a sym-eq rotation that falls into the FZ
N = np.random.randint(10,40)
size = np.ones(3)*np.pi**(2./3.)
grid = grid_filters.coordinates0_node([N+1,N+1,N+1],size,-size*.5)
evenly_distributed = Orientation.from_cubochoric(x=grid[:-2,:-2,:-2],lattice=lattice)
assert evenly_distributed.shape == evenly_distributed.reduced.shape
@pytest.mark.parametrize('lattice',crystal_families)
@pytest.mark.parametrize('shape',[(1),(2,3),(4,3,2)])
@pytest.mark.parametrize('vector',np.array([[1,0,0],[1,2,3],[-1,1,-1]]))
@pytest.mark.parametrize('proper',[True,False])
def test_to_SST_vectorization(self,lattice,shape,vector,proper):
o = Orientation.from_random(lattice=lattice,shape=shape)
for r, theO in zip(o.to_SST(vector=vector,proper=proper).reshape((-1,3)),o.flatten()):
assert np.allclose(r,theO.to_SST(vector=vector,proper=proper))
@pytest.mark.parametrize('lattice',crystal_families)
@pytest.mark.parametrize('shape',[(1),(2,3),(4,3,2)])
@pytest.mark.parametrize('vector',np.array([[1,0,0],[1,2,3],[-1,1,-1]]))
@pytest.mark.parametrize('proper',[True,False])
@pytest.mark.parametrize('in_SST',[True,False])
def test_IPF_color_vectorization(self,lattice,shape,vector,proper,in_SST):
o = Orientation.from_random(lattice=lattice,shape=shape)
for r, theO in zip(o.IPF_color(vector,in_SST=in_SST,proper=proper).reshape((-1,3)),o.flatten()):
assert np.allclose(r,theO.IPF_color(vector,in_SST=in_SST,proper=proper))
@pytest.mark.parametrize('lattice',crystal_families)
@pytest.mark.parametrize('a,b',[
((2,3,2),(2,3,2)),
((2,2),(4,4)),
((3,1),(1,3)),
(None,(3,)),
])
def test_to_SST_blending(self,lattice,a,b):
o = Orientation.from_random(lattice=lattice,shape=a)
v = np.random.random(b+(3,))
blend = util.shapeblender(o.shape,b)
for loc in np.random.randint(0,blend,(10,len(blend))):
print(f'{a}/{b} @ {loc}')
print(o[tuple(loc[:len(o.shape)])].to_SST(v[tuple(loc[-len(b):])]))
print(o.to_SST(v)[tuple(loc)])
assert np.allclose(o[tuple(loc[:len(o.shape)])].to_SST(v[tuple(loc[-len(b):])]),
o.to_SST(v)[tuple(loc)])
@pytest.mark.parametrize('color',[{'label':'red', 'RGB':[1,0,0],'direction':[0,0,1]},
{'label':'green','RGB':[0,1,0],'direction':[0,1,1]},
{'label':'blue', 'RGB':[0,0,1],'direction':[1,1,1]}])
@pytest.mark.parametrize('proper',[True,False])
def test_IPF_cubic(self,color,proper):
cube = Orientation(lattice='cubic')
cube = Orientation(family='cubic')
for direction in set(permutations(np.array(color['direction']))):
assert np.allclose(np.array(color['RGB']),
cube.IPF_color(vector=np.array(direction),proper=proper))
@pytest.mark.parametrize('lattice',crystal_families)
@pytest.mark.parametrize('family',crystal_families)
@pytest.mark.parametrize('proper',[True,False])
def test_IPF_equivalent(self,set_of_quaternions,lattice,proper):
def test_IPF_equivalent(self,set_of_quaternions,family,proper):
direction = np.random.random(3)*2.0-1.0
o = Orientation(rotation=set_of_quaternions,lattice=lattice).equivalent
o = Orientation(rotation=set_of_quaternions,family=family).equivalent
color = o.IPF_color(vector=direction,proper=proper)
assert np.allclose(np.broadcast_to(color[0,...],color.shape),color)
@pytest.mark.parametrize('lattice',crystal_families)
def test_in_FZ_vectorization(self,set_of_rodrigues,lattice):
result = Orientation.from_Rodrigues_vector(rho=set_of_rodrigues.reshape((-1,4,4)),lattice=lattice).in_FZ.reshape(-1)
for r,rho in zip(result,set_of_rodrigues[:len(result)]):
assert r == Orientation.from_Rodrigues_vector(rho=rho,lattice=lattice).in_FZ
@pytest.mark.parametrize('lattice',crystal_families)
def test_in_disorientation_FZ_vectorization(self,set_of_rodrigues,lattice):
result = Orientation.from_Rodrigues_vector(rho=set_of_rodrigues.reshape((-1,4,4)),
lattice=lattice).in_disorientation_FZ.reshape(-1)
for r,rho in zip(result,set_of_rodrigues[:len(result)]):
assert r == Orientation.from_Rodrigues_vector(rho=rho,lattice=lattice).in_disorientation_FZ
@pytest.mark.parametrize('proper',[True,False])
@pytest.mark.parametrize('lattice',crystal_families)
def test_in_SST_vectorization(self,lattice,proper):
vecs = np.random.rand(20,4,3)
result = Orientation(lattice=lattice).in_SST(vecs,proper).flatten()
for r,v in zip(result,vecs.reshape((-1,3))):
assert np.all(r == Orientation(lattice=lattice).in_SST(v,proper))
@pytest.mark.parametrize('invalid_lattice',['fcc','bcc','hello'])
def test_invalid_lattice_init(self,invalid_lattice):
with pytest.raises(KeyError):
Orientation(lattice=invalid_lattice) # noqa
@pytest.mark.parametrize('invalid_family',[None,'fcc','bcc','hello'])
def test_invalid_symmetry_family(self,invalid_family):
with pytest.raises(KeyError):
o = Orientation(lattice='cubic')
o.family = invalid_family
o.symmetry_operations # noqa
def test_invalid_rot(self):
with pytest.raises(TypeError):
Orientation.from_random(lattice='cubic') * np.ones(3)
def test_missing_symmetry_immutable(self):
with pytest.raises(KeyError):
Orientation(lattice=None).immutable # noqa
def test_missing_symmetry_basis_real(self):
with pytest.raises(KeyError):
Orientation(lattice=None).basis_real # noqa
def test_missing_symmetry_basis_reciprocal(self):
with pytest.raises(KeyError):
Orientation(lattice=None).basis_reciprocal # noqa
def test_double_to_lattice(self):
with pytest.raises(KeyError):
Orientation().to_lattice(direction=np.ones(3),plane=np.ones(3)) # noqa
def test_double_to_frame(self):
with pytest.raises(KeyError):
Orientation().to_frame(uvw=np.ones(3),hkl=np.ones(3)) # noqa
@pytest.mark.parametrize('relation',[None,'Peter','Paul'])
def test_unknown_relation(self,relation):
with pytest.raises(KeyError):
@ -388,29 +284,17 @@ class TestOrientation:
a=a,b=b,c=c,
alpha=alpha,beta=beta,gamma=gamma).related(relation) # noqa
@pytest.mark.parametrize('lattice',crystal_families)
@pytest.mark.parametrize('family',crystal_families)
@pytest.mark.parametrize('proper',[True,False])
def test_in_SST(self,lattice,proper):
assert Orientation(lattice=lattice).in_SST(np.zeros(3),proper)
def test_in_SST(self,family,proper):
assert Orientation(family=family).in_SST(np.zeros(3),proper)
@pytest.mark.parametrize('function',['in_SST','IPF_color'])
def test_invalid_argument(self,function):
o = Orientation(lattice='cubic') # noqa
o = Orientation(family='cubic') # noqa
with pytest.raises(ValueError):
eval(f'o.{function}(np.ones(4))')
@pytest.mark.parametrize('model',lattice.relations)
def test_relationship_definition(self,model):
m,o = list(lattice.relations[model])
assert lattice.relations[model][m].shape[:-1] == lattice.relations[model][o].shape[:-1]
@pytest.mark.parametrize('model',['Bain','KS','GT','GT_prime','NW','Pitsch'])
@pytest.mark.parametrize('lattice',['cF','cI'])
def test_relationship_vectorize(self,set_of_quaternions,lattice,model):
r = Orientation(rotation=set_of_quaternions[:200].reshape((50,4,4)),lattice=lattice).related(model)
for i in range(200):
assert (r.reshape((-1,200))[:,i] == Orientation(set_of_quaternions[i],lattice).related(model)).all()
@pytest.mark.parametrize('model',['Bain','KS','GT','GT_prime','NW','Pitsch'])
@pytest.mark.parametrize('lattice',['cF','cI'])
def test_relationship_forward_backward(self,model,lattice):
@ -444,30 +328,6 @@ class TestOrientation:
)
assert np.allclose(o.to_frame(uvw=np.eye(3)),basis), 'Lattice basis disagrees with initialization'
@pytest.mark.parametrize('lattice,a,b,c,alpha,beta,gamma',
[
('aP',0.5,2.0,3.0,0.8,0.5,1.2),
('mP',1.0,2.0,3.0,np.pi/2,0.5,np.pi/2),
('oI',0.5,1.5,3.0,np.pi/2,np.pi/2,np.pi/2),
('tP',0.5,0.5,3.0,np.pi/2,np.pi/2,np.pi/2),
('hP',1.0,None,1.6,np.pi/2,np.pi/2,2*np.pi/3),
('cF',1.0,1.0,None,np.pi/2,np.pi/2,np.pi/2),
])
def test_bases_contraction(self,lattice,a,b,c,alpha,beta,gamma):
L = Orientation(lattice=lattice,
a=a,b=b,c=c,
alpha=alpha,beta=beta,gamma=gamma)
assert np.allclose(np.eye(3),np.einsum('ik,jk',L.basis_real,L.basis_reciprocal))
@pytest.mark.parametrize('keyFrame,keyLattice',[('uvw','direction'),('hkl','plane'),])
@pytest.mark.parametrize('vector',np.array([
[1.,1.,1.],
[-2.,3.,0.5],
[0.,0.,1.],
[1.,1.,1.],
[2.,2.,2.],
[0.,1.,1.],
]))
@pytest.mark.parametrize('lattice,a,b,c,alpha,beta,gamma',
[
('aP',0.5,2.0,3.0,0.8,0.5,1.2),
@ -477,23 +337,6 @@ class TestOrientation:
('hP',1.0,1.0,1.6,np.pi/2,np.pi/2,2*np.pi/3),
('cF',1.0,1.0,1.0,np.pi/2,np.pi/2,np.pi/2),
])
def test_to_frame_to_lattice(self,lattice,a,b,c,alpha,beta,gamma,vector,keyFrame,keyLattice):
L = Orientation(lattice=lattice,
a=a,b=b,c=c,
alpha=alpha,beta=beta,gamma=gamma)
assert np.allclose(vector,
L.to_frame(**{keyFrame:L.to_lattice(**{keyLattice:vector})}))
@pytest.mark.parametrize('lattice,a,b,c,alpha,beta,gamma',
[
('aP',0.5,2.0,3.0,0.8,0.5,1.2),
('mP',1.0,2.0,3.0,np.pi/2,0.5,np.pi/2),
('oI',0.5,1.5,3.0,np.pi/2,np.pi/2,np.pi/2),
('tP',0.5,0.5,3.0,np.pi/2,np.pi/2,np.pi/2),
('hP',1.0,1.0,1.6,np.pi/2,np.pi/2,2*np.pi/3),
('cF',1.0,1.0,1.0,np.pi/2,np.pi/2,np.pi/2),
])
@pytest.mark.parametrize('kw',['uvw','hkl'])
@pytest.mark.parametrize('with_symmetry',[False,True])
@pytest.mark.parametrize('shape',[None,1,(12,24)])
@ -508,15 +351,157 @@ class TestOrientation:
a=a,b=b,c=c,
alpha=alpha,beta=beta,gamma=gamma)
assert o.to_pole(**{kw:vector,'with_symmetry':with_symmetry}).shape \
== o.shape + (o.symmetry_operations.shape if with_symmetry else ()) + vector.shape
== o.shape + vector.shape[:-1] + (o.symmetry_operations.shape if with_symmetry else ()) + vector.shape[-1:]
@pytest.mark.parametrize('lattice',['hP','cI','cF'])
@pytest.mark.parametrize('mode',['slip','twin'])
def test_Schmid(self,update,ref_path,lattice,mode):
L = Orientation(lattice=lattice)
@pytest.mark.parametrize('lattice',['hP','cI','cF']) #tI not included yet
def test_Schmid(self,update,ref_path,lattice):
O = Orientation(lattice=lattice) # noqa
for mode in ['slip','twin']:
reference = ref_path/f'{lattice}_{mode}.txt'
P = L.Schmid(mode)
P = O.Schmid(N_slip='*') if mode == 'slip' else O.Schmid(N_twin='*')
if update:
table = Table(P.reshape(-1,9),{'Schmid':(3,3,)})
table.save(reference)
assert np.allclose(P,Table.load(reference).get('Schmid'))
### vectorization tests ###
@pytest.mark.parametrize('lattice',['hP','cI','cF']) # tI not included yet
def test_Schmid_vectorization(self,lattice):
O = Orientation.from_random(shape=4,lattice=lattice) # noqa
for mode in ['slip','twin']:
Ps = O.Schmid(N_slip='*') if mode == 'slip' else O.Schmid(N_twin='*')
for i in range(4):
P = O[i].Schmid(N_slip='*') if mode == 'slip' else O[i].Schmid(N_twin='*')
assert np.allclose(P,Ps[:,i])
@pytest.mark.parametrize('family',crystal_families)
@pytest.mark.parametrize('shape',[(1),(2,3),(4,3,2)])
def test_reduced_vectorization(self,family,shape):
o = Orientation.from_random(family=family,shape=shape)
for r, theO in zip(o.reduced.flatten(),o.flatten()):
assert r == theO.reduced
@pytest.mark.parametrize('family',crystal_families)
@pytest.mark.parametrize('shape',[(1),(2,3),(4,3,2)])
@pytest.mark.parametrize('vector',np.array([[1,0,0],[1,2,3],[-1,1,-1]]))
@pytest.mark.parametrize('proper',[True,False])
def test_to_SST_vectorization(self,family,shape,vector,proper):
o = Orientation.from_random(family=family,shape=shape)
for r, theO in zip(o.to_SST(vector=vector,proper=proper).reshape((-1,3)),o.flatten()):
assert np.allclose(r,theO.to_SST(vector=vector,proper=proper))
@pytest.mark.parametrize('proper',[True,False])
@pytest.mark.parametrize('family',crystal_families)
def test_in_SST_vectorization(self,family,proper):
vecs = np.random.rand(20,4,3)
result = Orientation(family=family).in_SST(vecs,proper).flatten()
for r,v in zip(result,vecs.reshape((-1,3))):
assert np.all(r == Orientation(family=family).in_SST(v,proper))
@pytest.mark.parametrize('family',crystal_families)
@pytest.mark.parametrize('shape',[(1),(2,3),(4,3,2)])
@pytest.mark.parametrize('vector',np.array([[1,0,0],[1,2,3],[-1,1,-1]]))
@pytest.mark.parametrize('proper',[True,False])
@pytest.mark.parametrize('in_SST',[True,False])
def test_IPF_color_vectorization(self,family,shape,vector,proper,in_SST):
o = Orientation.from_random(family=family,shape=shape)
for r, theO in zip(o.IPF_color(vector,in_SST=in_SST,proper=proper).reshape((-1,3)),o.flatten()):
assert np.allclose(r,theO.IPF_color(vector,in_SST=in_SST,proper=proper))
@pytest.mark.parametrize('family',crystal_families)
def test_in_FZ_vectorization(self,set_of_rodrigues,family):
result = Orientation.from_Rodrigues_vector(rho=set_of_rodrigues.reshape((-1,4,4)),family=family).in_FZ.reshape(-1)
for r,rho in zip(result,set_of_rodrigues[:len(result)]):
assert r == Orientation.from_Rodrigues_vector(rho=rho,family=family).in_FZ
@pytest.mark.parametrize('family',crystal_families)
def test_in_disorientation_FZ_vectorization(self,set_of_rodrigues,family):
result = Orientation.from_Rodrigues_vector(rho=set_of_rodrigues.reshape((-1,4,4)),
family=family).in_disorientation_FZ.reshape(-1)
for r,rho in zip(result,set_of_rodrigues[:len(result)]):
assert r == Orientation.from_Rodrigues_vector(rho=rho,family=family).in_disorientation_FZ
@pytest.mark.parametrize('model',['Bain','KS','GT','GT_prime','NW','Pitsch'])
@pytest.mark.parametrize('lattice',['cF','cI'])
def test_relationship_vectorization(self,set_of_quaternions,lattice,model):
r = Orientation(rotation=set_of_quaternions[:200].reshape((50,4,4)),lattice=lattice).related(model)
for i in range(200):
assert (r.reshape((-1,200))[:,i] == Orientation(set_of_quaternions[i],lattice=lattice).related(model)).all()
### blending tests ###
@pytest.mark.parametrize('family',crystal_families)
@pytest.mark.parametrize('left,right',[
((2,3,2),(2,3,2)),
((2,2),(4,4)),
((3,1),(1,3)),
(None,None),
])
def test_disorientation_blending(self,family,left,right):
o = Orientation.from_random(family=family,shape=left)
p = Orientation.from_random(family=family,shape=right)
blend = util.shapeblender(o.shape,p.shape)
for loc in np.random.randint(0,blend,(10,len(blend))):
# print(f'{a}/{b} @ {loc}')
# print(o[tuple(loc[:len(o.shape)])].disorientation(p[tuple(loc[-len(p.shape):])]))
# print(o.disorientation(p)[tuple(loc)])
assert o[tuple(loc[:len(o.shape)])].disorientation(p[tuple(loc[-len(p.shape):])]) \
.isclose(o.disorientation(p)[tuple(loc)])
@pytest.mark.parametrize('family',crystal_families)
@pytest.mark.parametrize('left,right',[
((2,3,2),(2,3,2)),
((2,2),(4,4)),
((3,1),(1,3)),
(None,(3,)),
])
def test_IPF_color_blending(self,family,left,right):
o = Orientation.from_random(family=family,shape=left)
v = np.random.random(right+(3,))
blend = util.shapeblender(o.shape,v.shape[:-1])
for loc in np.random.randint(0,blend,(10,len(blend))):
assert np.allclose(o[tuple(loc[:len(o.shape)])].IPF_color(v[tuple(loc[-len(v.shape[:-1]):])]),
o.IPF_color(v)[tuple(loc)])
@pytest.mark.parametrize('family',crystal_families)
@pytest.mark.parametrize('left,right',[
((2,3,2),(2,3,2)),
((2,2),(4,4)),
((3,1),(1,3)),
(None,(3,)),
])
def test_to_SST_blending(self,family,left,right):
o = Orientation.from_random(family=family,shape=left)
v = np.random.random(right+(3,))
blend = util.shapeblender(o.shape,v.shape[:-1])
for loc in np.random.randint(0,blend,(10,len(blend))):
assert np.allclose(o[tuple(loc[:len(o.shape)])].to_SST(v[tuple(loc[-len(v.shape[:-1]):])]),
o.to_SST(v)[tuple(loc)])
@pytest.mark.parametrize('lattice,a,b,c,alpha,beta,gamma',
[
('aP',0.5,2.0,3.0,0.8,0.5,1.2),
('mP',1.0,2.0,3.0,np.pi/2,0.5,np.pi/2),
('oI',0.5,1.5,3.0,np.pi/2,np.pi/2,np.pi/2),
('tP',0.5,0.5,3.0,np.pi/2,np.pi/2,np.pi/2),
('hP',1.0,1.0,1.6,np.pi/2,np.pi/2,2*np.pi/3),
('cF',1.0,1.0,1.0,np.pi/2,np.pi/2,np.pi/2),
])
@pytest.mark.parametrize('left,right',[
((2,3,2),(2,3,2)),
((2,2),(4,4)),
((3,1),(1,3)),
(None,(3,)),
])
def test_to_pole_blending(self,lattice,a,b,c,alpha,beta,gamma,left,right):
o = Orientation.from_random(shape=left,
lattice=lattice,
a=a,b=b,c=c,
alpha=alpha,beta=beta,gamma=gamma)
v = np.random.random(right+(3,))
blend = util.shapeblender(o.shape,v.shape[:-1])
for loc in np.random.randint(0,blend,(10,len(blend))):
assert np.allclose(o[tuple(loc[:len(o.shape)])].to_pole(uvw=v[tuple(loc[-len(v.shape[:-1]):])]),
o.to_pole(uvw=v)[tuple(loc)])

83
python/tests/test_Result.py
View File

@ -12,12 +12,13 @@ import vtk
import numpy as np
from damask import Result
from damask import Rotation
from damask import Orientation
from damask import VTK
from damask import tensor
from damask import mechanics
from damask import grid_filters
@pytest.fixture
def default(tmp_path,ref_path):
"""Small Result file in temp location for modification."""
@ -107,7 +108,8 @@ class TestResult:
in_file = default.place('|F_e|')
assert np.allclose(in_memory,in_file)
@pytest.mark.parametrize('mode',['direct','function'])
@pytest.mark.parametrize('mode',
['direct',pytest.param('function',marks=pytest.mark.xfail(sys.platform=='darwin',reason='n/a'))])
def test_add_calculation(self,default,tmp_path,mode):
if mode == 'direct':
@ -124,6 +126,10 @@ class TestResult:
in_file = default.place('x')
assert np.allclose(in_memory,in_file)
def test_add_calculation_invalid(self,default):
default.add_calculation('np.linalg.norm(#F#,axis=0)','wrong_dim')
assert default.get('wrong_dim') is None
def test_add_stress_Cauchy(self,default):
default.add_stress_Cauchy('P','F')
in_memory = mechanics.stress_Cauchy(default.place('P'), default.place('F'))
@ -220,17 +226,16 @@ class TestResult:
in_file = default.place('S')
assert np.allclose(in_memory,in_file)
@pytest.mark.skip(reason='requires rework of lattice.f90')
@pytest.mark.parametrize('polar',[True,False])
def test_add_pole(self,default,polar):
pole = np.array([1.,0.,0.])
default.add_pole('O',pole,polar)
rot = Rotation(default.place('O'))
rotated_pole = rot * np.broadcast_to(pole,rot.shape+(3,))
xy = rotated_pole[:,0:2]/(1.+abs(pole[2]))
in_memory = xy if not polar else \
np.block([np.sqrt(xy[:,0:1]*xy[:,0:1]+xy[:,1:2]*xy[:,1:2]),np.arctan2(xy[:,1:2],xy[:,0:1])])
in_file = default.place('p^{}_[1 0 0)'.format(u'rφ' if polar else 'xy'))
@pytest.mark.parametrize('options',[{'uvw':[1,0,0],'with_symmetry':False},
{'hkl':[0,1,1],'with_symmetry':True}])
def test_add_pole(self,default,options):
default.add_pole(**options)
rot = default.place('O')
in_memory = Orientation(rot,lattice=rot.dtype.metadata['lattice']).to_pole(**options)
brackets = ['[[]','[]]'] if 'uvw' in options.keys() else ['(',')'] # escape fnmatch
label = '{}{} {} {}{}'.format(brackets[0],*(list(options.values())[0]),brackets[1])
in_file = default.place(f'p^{label}')
print(in_file - in_memory)
assert np.allclose(in_memory,in_file)
def test_add_rotation(self,default):
@ -266,10 +271,15 @@ class TestResult:
in_file = default.place('V(F)')
assert np.allclose(in_memory,in_file)
def test_add_invalid(self,default):
def test_add_invalid_dataset(self,default):
with pytest.raises(TypeError):
default.add_calculation('#invalid#*2')
def test_add_generic_grid_invalid(self,ref_path):
result = Result(ref_path/'4grains2x4x3_compressionY.hdf5')
with pytest.raises(NotImplementedError):
result.add_curl('F')
@pytest.mark.parametrize('shape',['vector','tensor'])
def test_add_curl(self,default,shape):
@ -362,25 +372,20 @@ class TestResult:
b = default.coordinates0_node.reshape(tuple(default.cells+1)+(3,),order='F')
assert np.allclose(a,b)
# need to wait for writing in parallel, output order might change if select more then one
@pytest.mark.parametrize('output',['F','*',['P']],ids=range(3))
@pytest.mark.parametrize('output',['F','*',['P'],['P','F']],ids=range(4))
@pytest.mark.parametrize('fname',['12grains6x7x8_tensionY.hdf5'],ids=range(1))
@pytest.mark.parametrize('inc',[4,0],ids=range(2))
@pytest.mark.xfail(int(vtk.vtkVersion.GetVTKVersion().split('.')[0])<9, reason='missing "Direction" attribute')
def test_vtk(self,request,tmp_path,ref_path,update,patch_execution_stamp,patch_datetime_now,output,fname,inc):
result = Result(ref_path/fname).view('increments',inc)
os.chdir(tmp_path)
result.export_VTK(output)
result.export_VTK(output,parallel=False)
fname = fname.split('.')[0]+f'_inc{(inc if type(inc) == int else inc[0]):0>2}.vti'
last = ''
for i in range(10):
if os.path.isfile(tmp_path/fname):
v = VTK.load(tmp_path/fname)
v.set_comments('n/a')
v.save(tmp_path/fname,parallel=False)
with open(fname) as f:
cur = hashlib.md5(f.read().encode()).hexdigest()
if cur == last:
break
else:
last = cur
time.sleep(.5)
if update:
with open((ref_path/'export_VTK'/request.node.name).with_suffix('.md5'),'w') as f:
f.write(cur)
@ -405,6 +410,11 @@ class TestResult:
os.chdir(tmp_path)
single_phase.export_VTK(mode=mode)
def test_vtk_invalid_mode(self,single_phase):
with pytest.raises(ValueError):
single_phase.export_VTK(mode='invalid')
def test_XDMF_datatypes(self,tmp_path,single_phase,update,ref_path):
for shape in [('scalar',()),('vector',(3,)),('tensor',(3,3)),('matrix',(12,))]:
for dtype in ['f4','f8','i1','i2','i4','i8','u1','u2','u4','u8']:
@ -417,7 +427,8 @@ class TestResult:
assert sorted(open(tmp_path/fname).read()) == sorted(open(ref_path/fname).read()) # XML is not ordered
@pytest.mark.skipif(not hasattr(vtk,'vtkXdmfReader'),reason='https://discourse.vtk.org/t/2450')
@pytest.mark.skipif(not (hasattr(vtk,'vtkXdmfReader') and hasattr(vtk.vtkXdmfReader(),'GetOutput')),
reason='https://discourse.vtk.org/t/2450')
def test_XDMF_shape(self,tmp_path,single_phase):
os.chdir(tmp_path)
@ -429,19 +440,14 @@ class TestResult:
dim_xdmf = reader_xdmf.GetOutput().GetDimensions()
bounds_xdmf = reader_xdmf.GetOutput().GetBounds()
single_phase.view('increments',0).export_VTK()
single_phase.view('increments',0).export_VTK(parallel=False)
fname = os.path.splitext(os.path.basename(single_phase.fname))[0]+'_inc00.vti'
for i in range(10): # waiting for parallel IO
reader_vti = vtk.vtkXMLImageDataReader()
reader_vti.SetFileName(fname)
reader_vti.Update()
dim_vti = reader_vti.GetOutput().GetDimensions()
bounds_vti = reader_vti.GetOutput().GetBounds()
if dim_vti == dim_xdmf and bounds_vti == bounds_xdmf:
return
time.sleep(.5)
assert False
assert dim_vti == dim_xdmf and bounds_vti == bounds_xdmf
def test_XDMF_invalid(self,default):
with pytest.raises(TypeError):
@ -496,3 +502,14 @@ class TestResult:
with bz2.BZ2File((ref_path/'place'/fname).with_suffix('.pbz2')) as f:
ref = pickle.load(f)
assert cur is None if ref is None else dict_equal(cur,ref)
@pytest.mark.parametrize('fname',['4grains2x4x3_compressionY.hdf5',
'6grains6x7x8_single_phase_tensionY.hdf5'])
@pytest.mark.parametrize('output',['material.yaml','*'])
@pytest.mark.parametrize('overwrite',[True,False])
def test_export_setup(self,ref_path,tmp_path,fname,output,overwrite):
os.chdir(tmp_path)
r = Result(ref_path/fname)
r.export_setup(output,overwrite)
r.export_setup(output,overwrite)

7
python/tests/test_VTK.py
View File

@ -5,6 +5,7 @@ import time
import pytest
import numpy as np
import numpy.ma as ma
import vtk
from damask import VTK
from damask import grid_filters
@ -162,6 +163,7 @@ class TestVTK:
new = VTK.load(tmp_path/'with_comments.vtr')
assert new.get_comments() == ['this is a comment']
@pytest.mark.xfail(int(vtk.vtkVersion.GetVTKVersion().split('.')[0])<8, reason='missing METADATA')
def test_compare_reference_polyData(self,update,ref_path,tmp_path):
points=np.dstack((np.linspace(0.,1.,10),np.linspace(0.,2.,10),np.linspace(-1.,1.,10))).squeeze()
polyData = VTK.from_poly_data(points)
@ -173,14 +175,15 @@ class TestVTK:
assert polyData.__repr__() == reference.__repr__() and \
np.allclose(polyData.get('coordinates'),points)
@pytest.mark.xfail(int(vtk.vtkVersion.GetVTKVersion().split('.')[0])<8, reason='missing METADATA')
def test_compare_reference_rectilinearGrid(self,update,ref_path,tmp_path):
cells = np.array([5,6,7],int)
size = np.array([.6,1.,.5])
rectilinearGrid = VTK.from_rectilinear_grid(cells,size)
c = grid_filters.coordinates0_point(cells,size).reshape(-1,3,order='F')
n = grid_filters.coordinates0_node(cells,size).reshape(-1,3,order='F')
rectilinearGrid.add(c,'cell')
rectilinearGrid.add(n,'node')
rectilinearGrid.add(np.ascontiguousarray(c),'cell')
rectilinearGrid.add(np.ascontiguousarray(n),'node')
if update:
rectilinearGrid.save(ref_path/'rectilinearGrid')
else:

34
python/tests/test_lattice.py
View File

@ -1,34 +0,0 @@
import pytest
import numpy as np
from damask import lattice
class TestLattice:
def test_double_Bravais_to_Miller(self):
with pytest.raises(KeyError):
lattice.Bravais_to_Miller(uvtw=np.ones(4),hkil=np.ones(4)) # noqa
def test_double_Miller_to_Bravais(self):
with pytest.raises(KeyError):
lattice.Miller_to_Bravais(uvw=np.ones(4),hkl=np.ones(4)) # noqa
@pytest.mark.parametrize('vector',np.array([
[1,0,0],
[1,1,0],
[1,1,1],
[1,0,-2],
]))
@pytest.mark.parametrize('kw_Miller,kw_Bravais',[('uvw','uvtw'),('hkl','hkil')])
def test_Miller_Bravais_Miller(self,vector,kw_Miller,kw_Bravais):
assert np.all(vector == lattice.Bravais_to_Miller(**{kw_Bravais:lattice.Miller_to_Bravais(**{kw_Miller:vector})}))
@pytest.mark.parametrize('vector',np.array([
[1,0,-1,2],
[1,-1,0,3],
[1,1,-2,-3],
[0,0,0,1],
]))
@pytest.mark.parametrize('kw_Miller,kw_Bravais',[('uvw','uvtw'),('hkl','hkil')])
def test_Bravais_Miller_Bravais(self,vector,kw_Miller,kw_Bravais):
assert np.all(vector == lattice.Miller_to_Bravais(**{kw_Miller:lattice.Bravais_to_Miller(**{kw_Bravais:vector})}))

34
python/tests/test_util.py
View File

@ -19,9 +19,9 @@ class TestUtil:
out,err = util.execute('sh -c "echo $test_for_execute"',env={'test_for_execute':'test'})
assert out=='test\n' and err==''
def test_execute_invalid(self):
def test_execute_runtime_error(self):
with pytest.raises(RuntimeError):
util.execute('/bin/false')
util.execute('false')
@pytest.mark.parametrize('input,output',
[
@ -158,3 +158,33 @@ class TestUtil:
({'A':{'B':{},'C':'D'}}, {'B':{},'C':'D'})])
def test_flatten(self,full,reduced):
assert util.dict_flatten(full) == reduced
def test_double_Bravais_to_Miller(self):
with pytest.raises(KeyError):
util.Bravais_to_Miller(uvtw=np.ones(4),hkil=np.ones(4))
def test_double_Miller_to_Bravais(self):
with pytest.raises(KeyError):
util.Miller_to_Bravais(uvw=np.ones(4),hkl=np.ones(4))
@pytest.mark.parametrize('vector',np.array([
[1,0,0],
[1,1,0],
[1,1,1],
[1,0,-2],
]))
@pytest.mark.parametrize('kw_Miller,kw_Bravais',[('uvw','uvtw'),('hkl','hkil')])
def test_Miller_Bravais_Miller(self,vector,kw_Miller,kw_Bravais):
assert np.all(vector == util.Bravais_to_Miller(**{kw_Bravais:util.Miller_to_Bravais(**{kw_Miller:vector})}))
@pytest.mark.parametrize('vector',np.array([
[1,0,-1,2],
[1,-1,0,3],
[1,1,-2,-3],
[0,0,0,1],
]))
@pytest.mark.parametrize('kw_Miller,kw_Bravais',[('uvw','uvtw'),('hkl','hkil')])
def test_Bravais_Miller_Bravais(self,vector,kw_Miller,kw_Bravais):
assert np.all(vector == util.Miller_to_Bravais(**{kw_Miller:util.Bravais_to_Miller(**{kw_Bravais:vector})}))

43
src/CMakeLists.txt
View File

@ -1,10 +1,10 @@
# special flags for some files
if (CMAKE_Fortran_COMPILER_ID STREQUAL "GNU")
if(CMAKE_Fortran_COMPILER_ID STREQUAL "GNU")
# long lines for interaction matrix
SET_SOURCE_FILES_PROPERTIES("lattice.f90" PROPERTIES COMPILE_FLAGS "-ffree-line-length-240")
endif()
file(GLOB damask-sources *.f90 *.c)
file(GLOB damask-sources CONFIGURE_DEPENDS *.f90 *.c)
# probably we should have a subfolder for MSC.Marc
list(FILTER damask-sources EXCLUDE REGEX ".*CPFEM.f90")
@ -12,25 +12,24 @@ list(FILTER damask-sources EXCLUDE REGEX ".*DAMASK_Marc.*.f90")
list(FILTER damask-sources EXCLUDE REGEX ".*commercialFEM_fileList.*.f90")
if (PROJECT_NAME STREQUAL "damask-grid")
if(PROJECT_NAME STREQUAL "damask-grid")
set(executable-name "DAMASK_grid")
file(GLOB solver-sources CONFIGURE_DEPENDS grid/*.f90)
elseif(PROJECT_NAME STREQUAL "damask-mesh")
set(executable-name "DAMASK_mesh")
file(GLOB solver-sources CONFIGURE_DEPENDS mesh/*.f90)
endif()
file(GLOB grid-sources grid/*.f90)
if(NOT CMAKE_BUILD_TYPE STREQUAL "SYNTAXONLY")
add_executable(${executable-name} ${damask-sources} ${solver-sources})
install(TARGETS ${executable-name} RUNTIME DESTINATION bin)
else()
add_library(${executable-name} OBJECT ${damask-sources} ${solver-sources})
exec_program(mktemp OUTPUT_VARIABLE nothing)
exec_program(mktemp ARGS -d OUTPUT_VARIABLE black_hole)
install(PROGRAMS ${nothing} DESTINATION ${black_hole})
endif()
if (NOT CMAKE_BUILD_TYPE STREQUAL "SYNTAXONLY")
add_executable(DAMASK_grid ${damask-sources} ${grid-sources})
install (TARGETS DAMASK_grid RUNTIME DESTINATION bin)
else ()
add_library(DAMASK_grid OBJECT ${damask-sources} ${grid-sources})
exec_program (mktemp OUTPUT_VARIABLE nothing)
exec_program (mktemp ARGS -d OUTPUT_VARIABLE black_hole)
install (PROGRAMS ${nothing} DESTINATION ${black_hole})
endif ()
elseif (PROJECT_NAME STREQUAL "damask-mesh")
file(GLOB mesh-sources mesh/*.f90)
add_executable(DAMASK_mesh ${damask-sources} ${mesh-sources})
install (TARGETS DAMASK_mesh RUNTIME DESTINATION bin)
endif ()
string(REPLACE ";" "\n" sources "${damask-sources};${solver-sources}")
message(${CMAKE_BINARY_DIR})
file(WRITE ${CMAKE_BINARY_DIR}/sources.txt ${sources})

7
src/DAMASK_interface.f90
View File

@ -11,7 +11,7 @@
!--------------------------------------------------------------------------------------------------
#define PETSC_MAJOR 3
#define PETSC_MINOR_MIN 12
#define PETSC_MINOR_MAX 15
#define PETSC_MINOR_MAX 16
module DAMASK_interface
use, intrinsic :: ISO_fortran_env
@ -102,6 +102,7 @@ subroutine DAMASK_interface_init
print'(/,a)', ' Version: '//DAMASKVERSION
print'(/,a)', ' Compiled with: '//compiler_version()
print'(a)', ' Compiled on: '//CMAKE_SYSTEM
print'(a)', ' Compiler options: '//compiler_options()
! https://github.com/jeffhammond/HPCInfo/blob/master/docs/Preprocessor-Macros.md
@ -189,10 +190,10 @@ subroutine DAMASK_interface_init
if (len_trim(workingDirArg) > 0) &
print'(a)', ' Working dir argument: '//trim(workingDirArg)
print'(a)', ' Geometry argument: '//trim(geometryArg)
print'(a)', ' Loadcase argument: '//trim(loadcaseArg)
print'(a)', ' Load case argument: '//trim(loadcaseArg)
print'(/,a)', ' Working directory: '//getCWD()
print'(a)', ' Geometry file: '//interface_geomFile
print'(a)', ' Loadcase file: '//interface_loadFile
print'(a)', ' Load case file: '//interface_loadFile
print'(a)', ' Solver job name: '//getSolverJobName()
if (interface_restartInc > 0) &
print'(a,i6.6)', ' Restart from increment: ', interface_restartInc

145
src/HDF5_utilities.f90
View File

@ -77,10 +77,12 @@ module HDF5_utilities
end interface HDF5_addAttribute
#ifdef PETSC
logical, parameter, private :: parallel_default = .true.
logical, parameter :: parallel_default = .true.
#else
logical, parameter, private :: parallel_default = .false.
logical, parameter :: parallel_default = .false.
#endif
logical :: compression_possible
public :: &
HDF5_utilities_init, &
HDF5_read, &
@ -103,31 +105,38 @@ contains
!--------------------------------------------------------------------------------------------------
subroutine HDF5_utilities_init
integer :: hdferr
integer :: hdferr, HDF5_major, HDF5_minor, HDF5_release, deflate_info
integer(SIZE_T) :: typeSize
print'(/,a)', ' <<<+- HDF5_Utilities init -+>>>'
!--------------------------------------------------------------------------------------------------
!initialize HDF5 library and check if integer and float type size match
call h5open_f(hdferr)
if(hdferr < 0) error stop 'HDF5 error'
if (hdferr < 0) error stop 'HDF5 error'
call h5tget_size_f(H5T_NATIVE_INTEGER,typeSize, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
if (hdferr < 0) error stop 'HDF5 error'
if (int(bit_size(0),SIZE_T)/=typeSize*8) &
error stop 'Default integer size does not match H5T_NATIVE_INTEGER'
call h5tget_size_f(H5T_NATIVE_DOUBLE,typeSize, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
if (hdferr < 0) error stop 'HDF5 error'
if (int(storage_size(0.0_pReal),SIZE_T)/=typeSize*8) &
error stop 'pReal does not match H5T_NATIVE_DOUBLE'
call H5get_libversion_f(HDF5_major,HDF5_minor,HDF5_release,hdferr)
if (hdferr < 0) error stop 'HDF5 error'
call H5Zget_filter_info_f(H5Z_FILTER_DEFLATE_F,deflate_info,hdferr)
if (hdferr < 0) error stop 'HDF5 error'
compression_possible = (HDF5_major == 1 .and. HDF5_minor >= 12) .and. & ! https://forum.hdfgroup.org/t/6186
ior(H5Z_FILTER_ENCODE_ENABLED_F,deflate_info) > 0
end subroutine HDF5_utilities_init
!--------------------------------------------------------------------------------------------------
!> @brief open and initializes HDF5 output file
!> @brief Open and initialize HDF5 file.
!--------------------------------------------------------------------------------------------------
integer(HID_T) function HDF5_openFile(fileName,mode,parallel)
@ -314,12 +323,12 @@ subroutine HDF5_addAttribute_str(loc_id,attrLabel,attrValue,path)
character(len=*), intent(in) :: attrLabel, attrValue
character(len=*), intent(in), optional :: path
integer(HID_T) :: attr_id, space_id, type_id
integer(HID_T) :: attr_id, space_id
logical :: attrExists
integer :: hdferr
character(len=:), allocatable :: p
character(len=:,kind=C_CHAR), allocatable,target :: attrValue_
type(c_ptr), target, dimension(1) :: ptr
character(len=len_trim(attrValue)+1,kind=C_CHAR), dimension(1), target :: attrValue_
type(C_PTR), target, dimension(1) :: ptr
if (present(path)) then
@ -328,13 +337,11 @@ subroutine HDF5_addAttribute_str(loc_id,attrLabel,attrValue,path)
p = '.'
endif
attrValue_ = trim(attrValue)//C_NULL_CHAR
ptr(1) = c_loc(attrValue_)
attrValue_(1) = trim(attrValue)//C_NULL_CHAR
ptr(1) = c_loc(attrValue_(1))
call h5screate_f(H5S_SCALAR_F,space_id,hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5tcopy_f(H5T_STRING, type_id, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5aexists_by_name_f(loc_id,trim(p),attrLabel,attrExists,hdferr)
if(hdferr < 0) error stop 'HDF5 error'
@ -342,15 +349,14 @@ subroutine HDF5_addAttribute_str(loc_id,attrLabel,attrValue,path)
call h5adelete_by_name_f(loc_id, trim(p), attrLabel, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
endif
call h5acreate_by_name_f(loc_id,trim(p),trim(attrLabel),type_id,space_id,attr_id,hdferr)
call h5acreate_by_name_f(loc_id,trim(p),trim(attrLabel),H5T_STRING,space_id,attr_id,hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5awrite_f(attr_id, type_id, c_loc(ptr(1)), hdferr)
call h5awrite_f(attr_id, H5T_STRING, c_loc(ptr), hdferr) ! ptr instead of c_loc(ptr) works on gfortran, not on ifort
if(hdferr < 0) error stop 'HDF5 error'
call h5aclose_f(attr_id,hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5tclose_f(type_id,hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5sclose_f(space_id,hdferr)
if(hdferr < 0) error stop 'HDF5 error'
@ -388,6 +394,7 @@ subroutine HDF5_addAttribute_int(loc_id,attrLabel,attrValue,path)
call h5adelete_by_name_f(loc_id, trim(p), attrLabel, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
endif
call h5acreate_by_name_f(loc_id,trim(p),trim(attrLabel),H5T_NATIVE_INTEGER,space_id,attr_id,hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5awrite_f(attr_id, H5T_NATIVE_INTEGER, attrValue, int([1],HSIZE_T), hdferr)
@ -432,6 +439,7 @@ subroutine HDF5_addAttribute_real(loc_id,attrLabel,attrValue,path)
call h5adelete_by_name_f(loc_id, trim(p), attrLabel, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
endif
call h5acreate_by_name_f(loc_id,trim(p),trim(attrLabel),H5T_NATIVE_DOUBLE,space_id,attr_id,hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5awrite_f(attr_id, H5T_NATIVE_DOUBLE, attrValue, int([1],HSIZE_T), hdferr)
@ -455,12 +463,12 @@ subroutine HDF5_addAttribute_str_array(loc_id,attrLabel,attrValue,path)
character(len=*), intent(in), dimension(:) :: attrValue
character(len=*), intent(in), optional :: path
integer(HID_T) :: attr_id, space_id, filetype_id, memtype_id
integer :: hdferr
integer(HID_T) :: attr_id, space_id
logical :: attrExists
integer :: hdferr,i
character(len=:), allocatable :: p
type(C_PTR) :: f_ptr
character(len=:), allocatable, dimension(:), target :: attrValue_
character(len=len(attrValue)+1,kind=C_CHAR), dimension(size(attrValue)), target :: attrValue_
type(C_PTR), target, dimension(size(attrValue)) :: ptr
if (present(path)) then
@ -469,34 +477,26 @@ subroutine HDF5_addAttribute_str_array(loc_id,attrLabel,attrValue,path)
p = '.'
endif
attrValue_ = attrValue
do i=1,size(attrValue)
attrValue_(i) = attrValue(i)//C_NULL_CHAR
ptr(i) = c_loc(attrValue_(i))
enddo
call h5tcopy_f(H5T_C_S1,filetype_id,hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5tset_size_f(filetype_id, int(len(attrValue_)+1,C_SIZE_T),hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5tcopy_f(H5T_FORTRAN_S1, memtype_id, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5tset_size_f(memtype_id, int(len(attrValue_),C_SIZE_T), hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5screate_simple_f(1,shape(attrValue_,kind=HSIZE_T),space_id, hdferr)
call h5screate_simple_f(1,shape(attrValue_,kind=HSIZE_T),space_id,hdferr,shape(attrValue_,kind=HSIZE_T))
if(hdferr < 0) error stop 'HDF5 error'
call h5aexists_by_name_f(loc_id,trim(p),attrLabel,attrExists,hdferr)
if(hdferr < 0) error stop 'HDF5 error'
if (attrExists) then
call h5adelete_by_name_f(loc_id, trim(p), attrLabel, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
endif
call h5acreate_by_name_f(loc_id,trim(p),trim(attrLabel),filetype_id,space_id,attr_id,hdferr)
call h5acreate_by_name_f(loc_id,trim(p),trim(attrLabel),H5T_STRING,space_id,attr_id,hdferr)
if(hdferr < 0) error stop 'HDF5 error'
f_ptr = c_loc(attrValue_)
call h5awrite_f(attr_id, memtype_id, f_ptr, hdferr)
call h5awrite_f(attr_id, H5T_STRING, c_loc(ptr), hdferr) ! ptr instead of c_loc(ptr) works on gfortran, not on ifort
if(hdferr < 0) error stop 'HDF5 error'
call h5tclose_f(memtype_id,hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5tclose_f(filetype_id,hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5aclose_f(attr_id,hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5sclose_f(space_id,hdferr)
@ -539,6 +539,7 @@ subroutine HDF5_addAttribute_int_array(loc_id,attrLabel,attrValue,path)
call h5adelete_by_name_f(loc_id, trim(p), attrLabel, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
endif
call h5acreate_by_name_f(loc_id,trim(p),trim(attrLabel),H5T_NATIVE_INTEGER,space_id,attr_id,hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5awrite_f(attr_id, H5T_NATIVE_INTEGER, attrValue, array_size, hdferr)
@ -586,6 +587,7 @@ subroutine HDF5_addAttribute_real_array(loc_id,attrLabel,attrValue,path)
call h5adelete_by_name_f(loc_id, trim(p), attrLabel, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
endif
call h5acreate_by_name_f(loc_id,trim(p),trim(attrLabel),H5T_NATIVE_DOUBLE,space_id,attr_id,hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5awrite_f(attr_id, H5T_NATIVE_DOUBLE, attrValue, array_size, hdferr)
@ -1483,32 +1485,50 @@ subroutine HDF5_write_str(dataset,loc_id,datasetName)
integer(HID_T), intent(in) :: loc_id
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
integer(HID_T) :: filetype_id, space_id, dataset_id
integer(HID_T) :: filetype_id, memtype_id, space_id, dataset_id, dcpl
integer :: hdferr
character(len=len_trim(dataset)+1,kind=C_CHAR), dimension(1), target :: dataset_
type(C_PTR), target, dimension(1) :: ptr
character(len=len_trim(dataset),kind=C_CHAR), target :: dataset_
dataset_(1) = trim(dataset)//C_NULL_CHAR
ptr(1) = c_loc(dataset_(1))
dataset_ = trim(dataset)
call h5tcopy_f(H5T_STRING, filetype_id, hdferr)
call h5tcopy_f(H5T_C_S1, filetype_id, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5tset_size_f(filetype_id, int(len(dataset_),HSIZE_T), hdferr)
call h5tset_size_f(filetype_id, int(len(dataset_)+1,HSIZE_T), hdferr) ! +1 for NULL
if(hdferr < 0) error stop 'HDF5 error'
call h5screate_f(H5S_SCALAR_F, space_id, hdferr)
call H5Tcopy_f(H5T_FORTRAN_S1, memtype_id, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5dcreate_f(loc_id, datasetName, H5T_STRING, space_id, dataset_id, hdferr)
call H5Tset_size_f(memtype_id, int(len(dataset_),HSIZE_T), hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5dwrite_f(dataset_id, H5T_STRING, c_loc(ptr), hdferr)
call h5pcreate_f(H5P_DATASET_CREATE_F, dcpl, hdferr)
if (hdferr < 0) error stop 'HDF5 error'
call h5pset_chunk_f(dcpl, 1, [1_HSIZE_T], hdferr)
if (hdferr < 0) error stop 'HDF5 error'
call h5pset_shuffle_f(dcpl, hdferr)
if (hdferr < 0) error stop 'HDF5 error'
call h5pset_Fletcher32_f(dcpl,hdferr)
if (hdferr < 0) error stop 'HDF5 error'
if (compression_possible .and. len(dataset) > 1024*256) call h5pset_deflate_f(dcpl, 6, hdferr)
if (hdferr < 0) error stop 'HDF5 error'
call h5screate_simple_f(1, [1_HSIZE_T], space_id, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
CALL h5dcreate_f(loc_id, datasetName, filetype_id, space_id, dataset_id, hdferr, dcpl)
if(hdferr < 0) error stop 'HDF5 error'
call h5dwrite_f(dataset_id, memtype_id, c_loc(dataset_(1:1)), hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5pclose_f(dcpl, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5dclose_f(dataset_id, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5sclose_f(space_id, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5tclose_f(memtype_id, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
call h5tclose_f(filetype_id, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
@ -1916,9 +1936,10 @@ subroutine initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
integer, dimension(worldsize) :: writeSize !< contribution of all processes
integer(HID_T) :: dcpl
integer :: ierr, hdferr, HDF5_major, HDF5_minor, HDF5_release
integer :: ierr, hdferr
integer(HSIZE_T), parameter :: chunkSize = 1024_HSIZE_T**2/8_HSIZE_T
!-------------------------------------------------------------------------------------------------
! creating a property list for transfer properties (is collective when writing in parallel)
call h5pcreate_f(H5P_DATASET_XFER_F, plist_id, hdferr)
@ -1945,22 +1966,24 @@ subroutine initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
totalShape = [myShape(1:ubound(myShape,1)-1),int(sum(writeSize),HSIZE_T)]
!--------------------------------------------------------------------------------------------------
! compress (and chunk) larger datasets
! chunk dataset, enable compression for larger datasets
call h5pcreate_f(H5P_DATASET_CREATE_F, dcpl, hdferr)
if(hdferr < 0) error stop 'HDF5 error'
if(product(totalShape) >= chunkSize*2_HSIZE_T) then
call H5get_libversion_f(HDF5_major,HDF5_minor,HDF5_release,hdferr)
if (hdferr < 0) error stop 'HDF5 error'
if (HDF5_major == 1 .and. HDF5_minor >= 12) then ! https://forum.hdfgroup.org/t/6186
call h5pset_chunk_f(dcpl, size(totalShape), getChunks(totalShape,chunkSize), hdferr)
if (hdferr < 0) error stop 'HDF5 error'
if (product(totalShape) > 0) then
call h5pset_shuffle_f(dcpl, hdferr)
if (hdferr < 0) error stop 'HDF5 error'
call h5pset_deflate_f(dcpl, 6, hdferr)
if (hdferr < 0) error stop 'HDF5 error'
call h5pset_Fletcher32_f(dcpl,hdferr)
if (hdferr < 0) error stop 'HDF5 error'
if (product(totalShape) >= chunkSize*2_HSIZE_T) then
call h5pset_chunk_f(dcpl, size(totalShape), getChunks(totalShape,chunkSize), hdferr)
if (hdferr < 0) error stop 'HDF5 error'
if (compression_possible) call h5pset_deflate_f(dcpl, 6, hdferr)
else
call h5pset_chunk_f(dcpl, size(totalShape), totalShape, hdferr)
endif
if (hdferr < 0) error stop 'HDF5 error'
endif
!--------------------------------------------------------------------------------------------------

7
src/IO.f90
View File

@ -16,7 +16,8 @@ module IO
private
character(len=*), parameter, public :: &
IO_WHITESPACE = achar(44)//achar(32)//achar(9)//achar(10)//achar(13) !< whitespace characters
IO_WHITESPACE = achar(44)//achar(32)//achar(9)//achar(10)//achar(13), & !< whitespace characters
IO_QUOTES = "'"//'"'
character, parameter, public :: &
IO_EOL = new_line('DAMASK'), & !< end of line character
IO_COMMENT = '#'
@ -495,13 +496,13 @@ subroutine IO_error(error_ID,el,ip,g,instance,ext_msg)
msg = '--- expected after YAML file header'
case (709)
msg = 'Length mismatch'
case (710)
msg = 'Closing quotation mark missing in string'
!-------------------------------------------------------------------------------------------------
! errors related to the grid solver
case (831)
msg = 'mask consistency violated in grid load case'
case (832)
msg = 'ill-defined L (line partly defined) in grid load case'
case (833)
msg = 'non-positive ratio for geometric progression'
case (834)

84
src/YAML_parse.f90
View File

@ -71,8 +71,8 @@ recursive function parse_flow(YAML_flow) result(node)
s = e
d = s + scan(flow_string(s+1:),':')
e = d + find_end(flow_string(d+1:),'}')
key = trim(adjustl(flow_string(s+1:d-1)))
if(quotedString(key)) key = key(2:len(key)-1)
myVal => parse_flow(flow_string(d+1:e-1)) ! parse items (recursively)
select type (node)
@ -97,7 +97,11 @@ recursive function parse_flow(YAML_flow) result(node)
allocate(tScalar::node)
select type (node)
class is (tScalar)
if(quotedString(flow_string)) then
node = trim(adjustl(flow_string(2:len(flow_string)-1)))
else
node = trim(adjustl(flow_string))
endif
end select
endif
@ -119,18 +123,38 @@ integer function find_end(str,e_char)
N_sq = 0
N_cu = 0
do i = 1, len_trim(str)
i = 1
do while(i<=len_trim(str))
if (scan(str(i:i),IO_QUOTES) == 1) i = i + scan(str(i+1:),str(i:i))
if (N_sq==0 .and. N_cu==0 .and. scan(str(i:i),e_char//',') == 1) exit
N_sq = N_sq + merge(1,0,str(i:i) == '[')
N_cu = N_cu + merge(1,0,str(i:i) == '{')
N_sq = N_sq - merge(1,0,str(i:i) == ']')
N_cu = N_cu - merge(1,0,str(i:i) == '}')
i = i + 1
enddo
find_end = i
end function find_end
!--------------------------------------------------------------------------------------------------
! @brief check whether a string is enclosed with single or double quotes
!--------------------------------------------------------------------------------------------------
logical function quotedString(line)
character(len=*), intent(in) :: line
quotedString = .false.
if (scan(line(:1),IO_QUOTES) == 1) then
quotedString = .true.
if(line(len(line):len(line)) /= line(:1)) call IO_error(710,ext_msg=line)
endif
end function quotedString
!--------------------------------------------------------------------------------------------------
! @brief Returns Indentation.
! @details It determines the indentation level for a given block/line.
@ -333,6 +357,37 @@ subroutine remove_line_break(blck,s_blck,e_char,flow_line)
end subroutine remove_line_break
!--------------------------------------------------------------------------------------------------
!> @brief return the scalar list item without line break
!--------------------------------------------------------------------------------------------------
subroutine list_item_inline(blck,s_blck,inline,offset)
character(len=*), intent(in) :: blck !< YAML in mixed style
integer, intent(inout) :: s_blck
character(len=:), allocatable, intent(out) :: inline
integer, intent(inout) :: offset
character(len=:), allocatable :: line
integer :: indent,indent_next
indent = indentDepth(blck(s_blck:),offset)
line = IO_rmComment(blck(s_blck:s_blck + index(blck(s_blck:),IO_EOL) - 2))
inline = line(indent-offset+3:)
s_blck = s_blck + index(blck(s_blck:),IO_EOL)
indent_next = indentDepth(blck(s_blck:))
do while(indent_next > indent)
inline = inline//' '//trim(adjustl(IO_rmComment(blck(s_blck:s_blck + index(blck(s_blck:),IO_EOL) - 2))))
s_blck = s_blck + index(blck(s_blck:),IO_EOL)
indent_next = indentDepth(blck(s_blck:))
enddo
if(scan(inline,",") > 0) inline = '"'//inline//'"'
end subroutine list_item_inline
!--------------------------------------------------------------------------------------------------
! @brief reads a line of YAML block which is already in flow style
! @details Dicts should be enlcosed within '{}' for it to be consistent with DAMASK YAML parser
@ -463,7 +518,7 @@ recursive subroutine lst(blck,flow,s_blck,s_flow,offset)
integer, intent(inout) :: s_blck, & !< start position in blck
s_flow, & !< start position in flow
offset !< stores leading '- ' in nested lists
character(len=:), allocatable :: line,flow_line
character(len=:), allocatable :: line,flow_line,inline
integer :: e_blck,indent
indent = indentDepth(blck(s_blck:),offset)
@ -509,9 +564,9 @@ recursive subroutine lst(blck,flow,s_blck,s_flow,offset)
else ! list item in the same line
line = line(indentDepth(line)+3:)
if(isScalar(line)) then
call line_toFlow(flow,s_flow,line)
s_blck = e_blck +2
call list_item_inline(blck,s_blck,inline,offset)
offset = 0
call line_toFlow(flow,s_flow,inline)
elseif(isFlow(line)) then
s_blck = s_blck + index(blck(s_blck:),'-')
if(isFlowList(line)) then
@ -723,6 +778,8 @@ subroutine selfTest
if (indentDepth('a') /= 0) error stop 'indentDepth'
if (indentDepth('x ') /= 0) error stop 'indentDepth'
if (.not. quotedString("'a'")) error stop 'quotedString'
if ( isFlow(' a')) error stop 'isFLow'
if (.not. isFlow('{')) error stop 'isFlow'
if (.not. isFlow(' [')) error stop 'isFlow'
@ -809,14 +866,14 @@ subroutine selfTest
multi_line_flow1: block
character(len=*), parameter :: flow_multi = &
"%YAML 1.1"//IO_EOL//&
"---"//IO_EOL//&
"a: [b,"//IO_EOL//&
"c: "//IO_EOL//&
"d, e]"//IO_EOL
'%YAML 1.1'//IO_EOL//&
'---'//IO_EOL//&
'a: ["b",'//IO_EOL//&
'c: '//IO_EOL//&
'"d", "e"]'//IO_EOL
character(len=*), parameter :: flow = &
"{a: [b, {c: d}, e]}"
'{a: ["b", {c: "d"}, "e"]}'
if( .not. to_flow(flow_multi) == flow) error stop 'to_flow'
end block multi_line_flow1
@ -848,14 +905,15 @@ subroutine selfTest
" "//IO_EOL//&
" "//IO_EOL//&
" param_1: [a: b, c, {d: {e: [f: g, h]}}]"//IO_EOL//&
" - c: d"//IO_EOL//&
" - c:d"//IO_EOL//&
" e.f,"//IO_EOL//&
" bb:"//IO_EOL//&
" "//IO_EOL//&
" - "//IO_EOL//&
" {param_1: [{a: b}, c, {d: {e: [{f: g}, h]}}]}"//IO_EOL//&
"..."//IO_EOL
character(len=*), parameter :: mixed_flow = &
"{aa: [{param_1: [{a: b}, c, {d: {e: [{f: g}, h]}}]}, {c: d}], bb: [{param_1: [{a: b}, c, {d: {e: [{f: g}, h]}}]}]}"
'{aa: [{param_1: [{a: b}, c, {d: {e: [{f: g}, h]}}]}, "c:d e.f,"], bb: [{param_1: [{a: b}, c, {d: {e: [{f: g}, h]}}]}]}'
if(.not. to_flow(block_flow) == mixed_flow) error stop 'to_flow'
end block basic_mixed

4
src/config.f90
View File

@ -83,10 +83,12 @@ subroutine parse_numerics()
if (worldrank == 0) then
print*, 'reading numerics.yaml'; flush(IO_STDOUT)
fileContent = IO_read('numerics.yaml')
if (len(fileContent) > 0) then
call results_openJobFile(parallel=.false.)
call results_writeDataset_str(fileContent,'setup','numerics.yaml','numerics configuration')
call results_closeJobFile
endif
endif
call parallelization_bcast_str(fileContent)
config_numerics => YAML_parse_str(fileContent)
@ -113,10 +115,12 @@ subroutine parse_debug()
if (worldrank == 0) then
print*, 'reading debug.yaml'; flush(IO_STDOUT)
fileContent = IO_read('debug.yaml')
if (len(fileContent) > 0) then
call results_openJobFile(parallel=.false.)
call results_writeDataset_str(fileContent,'setup','debug.yaml','debug configuration')
call results_closeJobFile
endif
endif
call parallelization_bcast_str(fileContent)
config_debug => YAML_parse_str(fileContent)

67
src/grid/DAMASK_grid.f90
View File

@ -53,12 +53,11 @@ program DAMASK_grid
integer, parameter :: &
subStepFactor = 2 !< for each substep, divide the last time increment by 2.0
real(pReal) :: &
T_0 = 300.0_pReal, &
time = 0.0_pReal, & !< elapsed time
time0 = 0.0_pReal, & !< begin of interval
timeinc = 1.0_pReal, & !< current time interval
timeIncOld = 0.0_pReal, & !< previous time interval
remainingLoadCaseTime = 0.0_pReal !< remaining time of current load case
t = 0.0_pReal, & !< elapsed time
t_0 = 0.0_pReal, & !< begin of interval
Delta_t = 1.0_pReal, & !< current time interval
Delta_t_prev = 0.0_pReal, & !< previous time interval
t_remaining = 0.0_pReal !< remaining time of current load case
logical :: &
guess, & !< guess along former trajectory
stagIterate, &
@ -230,12 +229,6 @@ program DAMASK_grid
reportAndCheck: if (worldrank == 0) then
print'(/,a,i0)', ' load case: ', l
print*, ' estimate_rate:', loadCases(l)%estimate_rate
if (loadCases(l)%deformation%myType == 'L') then
do j = 1, 3
if (any(loadCases(l)%deformation%mask(j,1:3) .eqv. .true.) .and. &
any(loadCases(l)%deformation%mask(j,1:3) .eqv. .false.)) errorID = 832 ! each row should be either fully or not at all defined
enddo
endif
if (loadCases(l)%deformation%myType == 'F') then
print*, ' F:'
else
@ -243,14 +236,14 @@ program DAMASK_grid
endif
do i = 1, 3; do j = 1, 3
if (loadCases(l)%deformation%mask(i,j)) then
write(IO_STDOUT,'(2x,f12.7)',advance='no') loadCases(l)%deformation%values(i,j)
else
write(IO_STDOUT,'(2x,12a)',advance='no') ' x '
else
write(IO_STDOUT,'(2x,f12.7)',advance='no') loadCases(l)%deformation%values(i,j)
endif
enddo; write(IO_STDOUT,'(/)',advance='no')
enddo
if (any(loadCases(l)%stress%mask .eqv. loadCases(l)%deformation%mask)) errorID = 831
if (any(loadCases(l)%stress%mask .and. transpose(loadCases(l)%stress%mask) .and. (math_I3<1))) &
if (any(.not.(loadCases(l)%stress%mask .or. transpose(loadCases(l)%stress%mask)) .and. (math_I3<1))) &
errorID = 838 ! no rotation is allowed by stress BC
if (loadCases(l)%stress%myType == 'P') print*, ' P / MPa:'
@ -259,9 +252,9 @@ program DAMASK_grid
if (loadCases(l)%stress%myType /= '') then
do i = 1, 3; do j = 1, 3
if (loadCases(l)%stress%mask(i,j)) then
write(IO_STDOUT,'(2x,f12.4)',advance='no') loadCases(l)%stress%values(i,j)*1e-6_pReal
else
write(IO_STDOUT,'(2x,12a)',advance='no') ' x '
else
write(IO_STDOUT,'(2x,f12.4)',advance='no') loadCases(l)%stress%values(i,j)*1e-6_pReal
endif
enddo; write(IO_STDOUT,'(/)',advance='no')
enddo
@ -303,7 +296,7 @@ program DAMASK_grid
case(FIELD_THERMAL_ID)
initial_conditions => config_load%get('initial_conditions',defaultVal=emptyDict)
thermal => initial_conditions%get('thermal',defaultVal=emptyDict)
call grid_thermal_spectral_init(thermal%get_asFloat('T',defaultVal = T_0))
call grid_thermal_spectral_init(thermal%get_asFloat('T'))
case(FIELD_DAMAGE_ID)
call grid_damage_spectral_init
@ -330,7 +323,7 @@ program DAMASK_grid
endif writeUndeformed
loadCaseLooping: do l = 1, size(loadCases)
time0 = time ! load case start time
t_0 = t ! load case start time
guess = loadCases(l)%estimate_rate ! change of load case? homogeneous guess for the first inc
incLooping: do inc = 1, loadCases(l)%N
@ -338,31 +331,31 @@ program DAMASK_grid
!--------------------------------------------------------------------------------------------------
! forwarding time
timeIncOld = timeinc ! last timeinc that brought former inc to an end
Delta_t_prev = Delta_t ! last time intervall that brought former inc to an end
if (dEq(loadCases(l)%r,1.0_pReal,1.e-9_pReal)) then ! linear scale
timeinc = loadCases(l)%t/real(loadCases(l)%N,pReal)
Delta_t = loadCases(l)%t/real(loadCases(l)%N,pReal)
else
timeinc = loadCases(l)%t * (loadCases(l)%r**(inc-1)-loadCases(l)%r**inc) &
Delta_t = loadCases(l)%t * (loadCases(l)%r**(inc-1)-loadCases(l)%r**inc) &
/ (1.0_pReal-loadCases(l)%r**loadCases(l)%N)
endif
timeinc = timeinc * real(subStepFactor,pReal)**real(-cutBackLevel,pReal) ! depending on cut back level, decrease time step
Delta_t = Delta_t * real(subStepFactor,pReal)**real(-cutBackLevel,pReal) ! depending on cut back level, decrease time step
skipping: if (totalIncsCounter <= interface_restartInc) then ! not yet at restart inc?
time = time + timeinc ! just advance time, skip already performed calculation
t = t + Delta_t ! just advance time, skip already performed calculation
guess = .true. ! QUESTION:why forced guessing instead of inheriting loadcase preference
else skipping
stepFraction = 0 ! fraction scaled by stepFactor**cutLevel
subStepLooping: do while (stepFraction < subStepFactor**cutBackLevel)
remainingLoadCaseTime = loadCases(l)%t+time0 - time
time = time + timeinc ! forward target time
t_remaining = loadCases(l)%t + t_0 - t
t = t + Delta_t ! forward target time
stepFraction = stepFraction + 1 ! count step
!--------------------------------------------------------------------------------------------------
! report begin of new step
print'(/,a)', ' ###########################################################################'
print'(1x,a,es12.5,6(a,i0))', &
'Time', time, &
'Time', t, &
's: Increment ', inc,'/',loadCases(l)%N,&
'-', stepFraction,'/',subStepFactor**cutBackLevel,&
' of load case ', l,'/',size(loadCases)
@ -377,7 +370,7 @@ program DAMASK_grid
select case(ID(field))
case(FIELD_MECH_ID)
call mechanical_forward (&
cutBack,guess,timeinc,timeIncOld,remainingLoadCaseTime, &
cutBack,guess,Delta_t,Delta_t_prev,t_remaining, &
deformation_BC = loadCases(l)%deformation, &
stress_BC = loadCases(l)%stress, &
rotation_BC = loadCases(l)%rot)
@ -398,9 +391,9 @@ program DAMASK_grid
case(FIELD_MECH_ID)
solres(field) = mechanical_solution(incInfo)
case(FIELD_THERMAL_ID)
solres(field) = grid_thermal_spectral_solution(timeinc)
solres(field) = grid_thermal_spectral_solution(Delta_t)
case(FIELD_DAMAGE_ID)
solres(field) = grid_damage_spectral_solution(timeinc)
solres(field) = grid_damage_spectral_solution(Delta_t)
end select
if (.not. solres(field)%converged) exit ! no solution found
@ -418,11 +411,11 @@ program DAMASK_grid
if ( (all(solres(:)%converged .and. solres(:)%stagConverged)) & ! converged
.and. .not. solres(1)%termIll) then ! and acceptable solution found
call mechanical_updateCoords
timeIncOld = timeinc
Delta_t_prev = Delta_t
cutBack = .false.
guess = .true. ! start guessing after first converged (sub)inc
if (worldrank == 0) then
write(statUnit,*) totalIncsCounter, time, cutBackLevel, &
write(statUnit,*) totalIncsCounter, t, cutBackLevel, &
solres(1)%converged, solres(1)%iterationsNeeded
flush(statUnit)
endif
@ -430,8 +423,8 @@ program DAMASK_grid
cutBack = .true.
stepFraction = (stepFraction - 1) * subStepFactor ! adjust to new denominator
cutBackLevel = cutBackLevel + 1
time = time - timeinc ! rewind time
timeinc = timeinc/real(subStepFactor,pReal) ! cut timestep
t = t - Delta_t
Delta_t = Delta_t/real(subStepFactor,pReal) ! cut timestep
print'(/,a)', ' cutting back '
else ! no more options to continue
if (worldrank == 0) close(statUnit)
@ -453,7 +446,7 @@ program DAMASK_grid
if (mod(inc,loadCases(l)%f_out) == 0 .or. signal) then
print'(1/,a)', ' ... writing results to file ......................................'
flush(IO_STDOUT)
call CPFEM_results(totalIncsCounter,time)
call CPFEM_results(totalIncsCounter,t)
endif
if(signal) call interface_setSIGUSR1(.false.)
call MPI_Allreduce(interface_SIGUSR2,signal,1,MPI_LOGICAL,MPI_LOR,MPI_COMM_WORLD,ierr)
@ -497,8 +490,8 @@ subroutine getMaskedTensor(values,mask,tensor)
do i = 1,3
row => tensor%get(i)
do j = 1,3
mask(i,j) = row%get_asString(j) /= 'x'
if (mask(i,j)) values(i,j) = row%get_asFloat(j)
mask(i,j) = row%get_asString(j) == 'x'
if (.not. mask(i,j)) values(i,j) = row%get_asFloat(j)
enddo
enddo

3
src/grid/discretization_grid.f90
View File

@ -266,7 +266,8 @@ subroutine readVTI(grid,geomSize,origin,material, &
integer :: i
if (getXMLValue(header,'Direction') /= '1 0 0 0 1 0 0 0 1') &
temp = getXMLValue(header,'Direction')
if (temp /= '1 0 0 0 1 0 0 0 1' .and. temp /= '') & ! https://discourse.vtk.org/t/vti-specification/6526
call IO_error(error_ID = 844, ext_msg = 'coordinate order')
temp = getXMLValue(header,'WholeExtent')

10
src/grid/grid_damage_spectral.f90
View File

@ -160,10 +160,10 @@ end subroutine grid_damage_spectral_init
!--------------------------------------------------------------------------------------------------
!> @brief solution for the spectral damage scheme with internal iterations
!--------------------------------------------------------------------------------------------------
function grid_damage_spectral_solution(timeinc) result(solution)
function grid_damage_spectral_solution(Delta_t) result(solution)
real(pReal), intent(in) :: &
timeinc !< increment in time for current solution
Delta_t !< increment in time for current solution
integer :: i, j, k, ce
type(tSolutionState) :: solution
PetscInt :: devNull
@ -176,7 +176,7 @@ function grid_damage_spectral_solution(timeinc) result(solution)
!--------------------------------------------------------------------------------------------------
! set module wide availabe data
params%timeinc = timeinc
params%Delta_t = Delta_t
call SNESSolve(damage_snes,PETSC_NULL_VEC,solution_vec,ierr); CHKERRQ(ierr)
call SNESGetConvergedReason(damage_snes,reason,ierr); CHKERRQ(ierr)
@ -284,7 +284,7 @@ subroutine formResidual(in,x_scal,f_scal,dummy,ierr)
ce = 0
do k = 1, grid3; do j = 1, grid(2); do i = 1,grid(1)
ce = ce + 1
scalarField_real(i,j,k) = params%timeinc*(scalarField_real(i,j,k) + homogenization_f_phi(phi_current(i,j,k),ce)) &
scalarField_real(i,j,k) = params%Delta_t*(scalarField_real(i,j,k) + homogenization_f_phi(phi_current(i,j,k),ce)) &
+ homogenization_mu_phi(ce)*(phi_lastInc(i,j,k) - phi_current(i,j,k)) &
+ mu_ref*phi_current(i,j,k)
enddo; enddo; enddo
@ -292,7 +292,7 @@ subroutine formResidual(in,x_scal,f_scal,dummy,ierr)
!--------------------------------------------------------------------------------------------------
! convolution of damage field with green operator
call utilities_FFTscalarForward
call utilities_fourierGreenConvolution(K_ref, mu_ref, params%timeinc)
call utilities_fourierGreenConvolution(K_ref, mu_ref, params%Delta_t)
call utilities_FFTscalarBackward
where(scalarField_real(1:grid(1),1:grid(2),1:grid3) > phi_lastInc) &

42
src/grid/grid_mech_FEM.f90
View File

@ -324,7 +324,7 @@ function grid_mechanical_FEM_solution(incInfoIn) result(solution)
solution%iterationsNeeded = totalIter
solution%termIll = terminallyIll
terminallyIll = .false.
P_aim = merge(P_aim,P_av,params%stress_mask)
P_aim = merge(P_av,P_aim,params%stress_mask)
end function grid_mechanical_FEM_solution
@ -363,20 +363,20 @@ subroutine grid_mechanical_FEM_forward(cutBack,guess,Delta_t,Delta_t_old,t_remai
else
C_volAvgLastInc = C_volAvg
F_aimDot = merge(merge((F_aim-F_aim_lastInc)/Delta_t_old,0.0_pReal,stress_BC%mask), 0.0_pReal, guess) ! estimate deformation rate for prescribed stress components
F_aimDot = merge(merge(.0_pReal,(F_aim-F_aim_lastInc)/Delta_t_old,stress_BC%mask),.0_pReal,guess) ! estimate deformation rate for prescribed stress components
F_aim_lastInc = F_aim
!-----------------------------------------------------------------------------------------------
! calculate rate for aim
if (deformation_BC%myType=='L') then ! calculate F_aimDot from given L and current F
F_aimDot = F_aimDot &
+ merge(matmul(deformation_BC%values, F_aim_lastInc),.0_pReal,deformation_BC%mask)
+ matmul(merge(.0_pReal,deformation_BC%values,deformation_BC%mask),F_aim_lastInc)
elseif (deformation_BC%myType=='dot_F') then ! F_aimDot is prescribed
F_aimDot = F_aimDot &
+ merge(deformation_BC%values,.0_pReal,deformation_BC%mask)
+ merge(.0_pReal,deformation_BC%values,deformation_BC%mask)
elseif (deformation_BC%myType=='F') then ! aim at end of load case is prescribed
F_aimDot = F_aimDot &
+ merge((deformation_BC%values - F_aim_lastInc)/t_remaining,.0_pReal,deformation_BC%mask)
+ merge(.0_pReal,(deformation_BC%values - F_aim_lastInc)/t_remaining,deformation_BC%mask)
endif
if (guess) then
@ -397,9 +397,9 @@ subroutine grid_mechanical_FEM_forward(cutBack,guess,Delta_t,Delta_t_old,t_remai
! update average and local deformation gradients
F_aim = F_aim_lastInc + F_aimDot * Delta_t
if (stress_BC%myType=='P') P_aim = P_aim &
+ merge((stress_BC%values - P_aim)/t_remaining,0.0_pReal,stress_BC%mask)*Delta_t
+ merge(.0_pReal,(stress_BC%values - P_aim)/t_remaining,stress_BC%mask)*Delta_t
if (stress_BC%myType=='dot_P') P_aim = P_aim &
+ merge(stress_BC%values,0.0_pReal,stress_BC%mask)*Delta_t
+ merge(.0_pReal,stress_BC%values,stress_BC%mask)*Delta_t
call VecAXPY(solution_current,Delta_t,solution_rate,ierr); CHKERRQ(ierr)
@ -412,7 +412,7 @@ subroutine grid_mechanical_FEM_forward(cutBack,guess,Delta_t,Delta_t_old,t_remai
! set module wide available data
params%stress_mask = stress_BC%mask
params%rotation_BC = rotation_BC
params%timeinc = Delta_t
params%Delta_t = Delta_t
end subroutine grid_mechanical_FEM_forward
@ -446,22 +446,26 @@ subroutine grid_mechanical_FEM_restartWrite
fileHandle = HDF5_openFile(getSolverJobName()//'_restart.hdf5','w')
groupHandle = HDF5_addGroup(fileHandle,'solver')
call HDF5_write(P_aim,groupHandle,'P_aim',.false.)
call HDF5_write(F_aim,groupHandle,'F_aim',.false.)
call HDF5_write(F_aim_lastInc,groupHandle,'F_aim_lastInc',.false.)
call HDF5_write(F_aimDot,groupHandle,'F_aimDot',.false.)
call HDF5_write(F,groupHandle,'F')
call HDF5_write(F_lastInc,groupHandle,'F_lastInc')
call HDF5_write(u_current,groupHandle,'u')
call HDF5_write(u_lastInc,groupHandle,'u_lastInc')
call HDF5_write(C_volAvg,groupHandle,'C_volAvg',.false.)
call HDF5_write(C_volAvgLastInc,groupHandle,'C_volAvgLastInc',.false.)
call HDF5_closeGroup(groupHandle)
call HDF5_closeFile(fileHandle)
if (worldrank == 0) then
fileHandle = HDF5_openFile(getSolverJobName()//'_restart.hdf5','a',.false.)
groupHandle = HDF5_openGroup(fileHandle,'solver')
call HDF5_write(P_aim,groupHandle,'P_aim',.false.)
call HDF5_write(F_aim,groupHandle,'F_aim',.false.)
call HDF5_write(F_aim_lastInc,groupHandle,'F_aim_lastInc',.false.)
call HDF5_write(F_aimDot,groupHandle,'F_aimDot',.false.)
call HDF5_write(C_volAvg,groupHandle,'C_volAvg',.false.)
call HDF5_write(C_volAvgLastInc,groupHandle,'C_volAvgLastInc',.false.)
call HDF5_closeGroup(groupHandle)
call HDF5_closeFile(fileHandle)
endif
call DMDAVecRestoreArrayF90(mechanical_grid,solution_current,u_current,ierr)
CHKERRQ(ierr)
call DMDAVecRestoreArrayF90(mechanical_grid,solution_lastInc,u_lastInc,ierr)
@ -568,13 +572,13 @@ subroutine formResidual(da_local,x_local, &
! evaluate constitutive response
call utilities_constitutiveResponse(P_current,&
P_av,C_volAvg,devNull, &
F,params%timeinc,params%rotation_BC)
F,params%Delta_t,params%rotation_BC)
call MPI_Allreduce(MPI_IN_PLACE,terminallyIll,1,MPI_LOGICAL,MPI_LOR,MPI_COMM_WORLD,ierr)
!--------------------------------------------------------------------------------------------------
! stress BC handling
F_aim = F_aim - math_mul3333xx33(S, P_av - P_aim) ! S = 0.0 for no bc
err_BC = maxval(abs(merge(P_av - P_aim,.0_pReal,params%stress_mask)))
err_BC = maxval(abs(merge(.0_pReal,P_av - P_aim,params%stress_mask)))
!--------------------------------------------------------------------------------------------------
! constructing residual

32
src/grid/grid_mech_spectral_basic.f90
View File

@ -277,7 +277,7 @@ function grid_mechanical_spectral_basic_solution(incInfoIn) result(solution)
solution%iterationsNeeded = totalIter
solution%termIll = terminallyIll
terminallyIll = .false.
P_aim = merge(P_aim,P_av,params%stress_mask)
P_aim = merge(P_av,P_aim,params%stress_mask)
end function grid_mechanical_spectral_basic_solution
@ -314,20 +314,20 @@ subroutine grid_mechanical_spectral_basic_forward(cutBack,guess,Delta_t,Delta_t_
C_volAvgLastInc = C_volAvg
C_minMaxAvgLastInc = C_minMaxAvg
F_aimDot = merge(merge((F_aim-F_aim_lastInc)/Delta_t_old,0.0_pReal,stress_BC%mask), 0.0_pReal, guess) ! estimate deformation rate for prescribed stress components
F_aimDot = merge(merge(.0_pReal,(F_aim-F_aim_lastInc)/Delta_t_old,stress_BC%mask),.0_pReal,guess) ! estimate deformation rate for prescribed stress components
F_aim_lastInc = F_aim
!-----------------------------------------------------------------------------------------------
! calculate rate for aim
if (deformation_BC%myType=='L') then ! calculate F_aimDot from given L and current F
F_aimDot = F_aimDot &
+ merge(matmul(deformation_BC%values, F_aim_lastInc),.0_pReal,deformation_BC%mask)
+ matmul(merge(.0_pReal,deformation_BC%values,deformation_BC%mask),F_aim_lastInc)
elseif (deformation_BC%myType=='dot_F') then ! F_aimDot is prescribed
F_aimDot = F_aimDot &
+ merge(deformation_BC%values,.0_pReal,deformation_BC%mask)
+ merge(.0_pReal,deformation_BC%values,deformation_BC%mask)
elseif (deformation_BC%myType=='F') then ! aim at end of load case is prescribed
F_aimDot = F_aimDot &
+ merge((deformation_BC%values - F_aim_lastInc)/t_remaining,.0_pReal,deformation_BC%mask)
+ merge(.0_pReal,(deformation_BC%values - F_aim_lastInc)/t_remaining,deformation_BC%mask)
endif
Fdot = utilities_calculateRate(guess, &
@ -342,9 +342,9 @@ subroutine grid_mechanical_spectral_basic_forward(cutBack,guess,Delta_t,Delta_t_
! update average and local deformation gradients
F_aim = F_aim_lastInc + F_aimDot * Delta_t
if (stress_BC%myType=='P') P_aim = P_aim &
+ merge((stress_BC%values - P_aim)/t_remaining,0.0_pReal,stress_BC%mask)*Delta_t
+ merge(.0_pReal,(stress_BC%values - P_aim)/t_remaining,stress_BC%mask)*Delta_t
if (stress_BC%myType=='dot_P') P_aim = P_aim &
+ merge(stress_BC%values,0.0_pReal,stress_BC%mask)*Delta_t
+ merge(.0_pReal,stress_BC%values,stress_BC%mask)*Delta_t
F = reshape(utilities_forwardField(Delta_t,F_lastInc,Fdot, & ! estimate of F at end of time+Delta_t that matches rotated F_aim on average
rotation_BC%rotate(F_aim,active=.true.)),[9,grid(1),grid(2),grid3])
@ -354,7 +354,7 @@ subroutine grid_mechanical_spectral_basic_forward(cutBack,guess,Delta_t,Delta_t_
! set module wide available data
params%stress_mask = stress_BC%mask
params%rotation_BC = rotation_BC
params%timeinc = Delta_t
params%Delta_t = Delta_t
end subroutine grid_mechanical_spectral_basic_forward
@ -389,20 +389,24 @@ subroutine grid_mechanical_spectral_basic_restartWrite
fileHandle = HDF5_openFile(getSolverJobName()//'_restart.hdf5','w')
groupHandle = HDF5_addGroup(fileHandle,'solver')
call HDF5_write(F,groupHandle,'F')
call HDF5_write(F_lastInc,groupHandle,'F_lastInc')
call HDF5_closeGroup(groupHandle)
call HDF5_closeFile(fileHandle)
if (worldrank == 0) then
fileHandle = HDF5_openFile(getSolverJobName()//'_restart.hdf5','a',.false.)
groupHandle = HDF5_openGroup(fileHandle,'solver')
call HDF5_write(P_aim,groupHandle,'P_aim',.false.)
call HDF5_write(F_aim,groupHandle,'F_aim',.false.)
call HDF5_write(F_aim_lastInc,groupHandle,'F_aim_lastInc',.false.)
call HDF5_write(F_aimDot,groupHandle,'F_aimDot',.false.)
call HDF5_write(F,groupHandle,'F')
call HDF5_write(F_lastInc,groupHandle,'F_lastInc')
call HDF5_write(C_volAvg,groupHandle,'C_volAvg',.false.)
call HDF5_write(C_volAvgLastInc,groupHandle,'C_volAvgLastInc',.false.)
call HDF5_write(C_minMaxAvg,groupHandle,'C_minMaxAvg',.false.)
call HDF5_closeGroup(groupHandle)
call HDF5_closeFile(fileHandle)
endif
if (num%update_gamma) call utilities_saveReferenceStiffness
@ -492,14 +496,14 @@ subroutine formResidual(in, F, &
! evaluate constitutive response
call utilities_constitutiveResponse(residuum, & ! "residuum" gets field of first PK stress (to save memory)
P_av,C_volAvg,C_minMaxAvg, &
F,params%timeinc,params%rotation_BC)
F,params%Delta_t,params%rotation_BC)
call MPI_Allreduce(MPI_IN_PLACE,terminallyIll,1,MPI_LOGICAL,MPI_LOR,MPI_COMM_WORLD,ierr)
!--------------------------------------------------------------------------------------------------
! stress BC handling
deltaF_aim = math_mul3333xx33(S, P_av - P_aim) ! S = 0.0 for no bc
F_aim = F_aim - deltaF_aim
err_BC = maxval(abs(merge(P_av - P_aim,.0_pReal,params%stress_mask)))
err_BC = maxval(abs(merge(.0_pReal,P_av - P_aim,params%stress_mask)))
!--------------------------------------------------------------------------------------------------
! updated deformation gradient using fix point algorithm of basic scheme

44
src/grid/grid_mech_spectral_polarisation.f90
View File

@ -309,7 +309,7 @@ function grid_mechanical_spectral_polarisation_solution(incInfoIn) result(soluti
solution%iterationsNeeded = totalIter
solution%termIll = terminallyIll
terminallyIll = .false.
P_aim = merge(P_aim,P_av,params%stress_mask)
P_aim = merge(P_av,P_aim,params%stress_mask)
end function grid_mechanical_spectral_polarisation_solution
@ -350,20 +350,20 @@ subroutine grid_mechanical_spectral_polarisation_forward(cutBack,guess,Delta_t,D
C_volAvgLastInc = C_volAvg
C_minMaxAvgLastInc = C_minMaxAvg
F_aimDot = merge(merge((F_aim-F_aim_lastInc)/Delta_t_old,0.0_pReal,stress_BC%mask), 0.0_pReal, guess) ! estimate deformation rate for prescribed stress components
F_aimDot = merge(merge(.0_pReal,(F_aim-F_aim_lastInc)/Delta_t_old,stress_BC%mask),.0_pReal,guess) ! estimate deformation rate for prescribed stress components
F_aim_lastInc = F_aim
!-----------------------------------------------------------------------------------------------
! calculate rate for aim
if (deformation_BC%myType=='L') then ! calculate F_aimDot from given L and current F
F_aimDot = F_aimDot &
+ merge(matmul(deformation_BC%values, F_aim_lastInc),.0_pReal,deformation_BC%mask)
+ matmul(merge(.0_pReal,deformation_BC%values,deformation_BC%mask),F_aim_lastInc)
elseif (deformation_BC%myType=='dot_F') then ! F_aimDot is prescribed
F_aimDot = F_aimDot &
+ merge(deformation_BC%values,.0_pReal,deformation_BC%mask)
+ merge(.0_pReal,deformation_BC%values,deformation_BC%mask)
elseif (deformation_BC%myType=='F') then ! aim at end of load case is prescribed
F_aimDot = F_aimDot &
+ merge((deformation_BC%values - F_aim_lastInc)/t_remaining,.0_pReal,deformation_BC%mask)
+ merge(.0_pReal,(deformation_BC%values - F_aim_lastInc)/t_remaining,deformation_BC%mask)
endif
Fdot = utilities_calculateRate(guess, &
@ -382,9 +382,9 @@ subroutine grid_mechanical_spectral_polarisation_forward(cutBack,guess,Delta_t,D
! update average and local deformation gradients
F_aim = F_aim_lastInc + F_aimDot * Delta_t
if(stress_BC%myType=='P') P_aim = P_aim &
+ merge((stress_BC%values - P_aim)/t_remaining,0.0_pReal,stress_BC%mask)*Delta_t
+ merge(.0_pReal,(stress_BC%values - P_aim)/t_remaining,stress_BC%mask)*Delta_t
if(stress_BC%myType=='dot_P') P_aim = P_aim &
+ merge(stress_BC%values,0.0_pReal,stress_BC%mask)*Delta_t
+ merge(.0_pReal,stress_BC%values,stress_BC%mask)*Delta_t
F = reshape(utilities_forwardField(Delta_t,F_lastInc,Fdot, & ! estimate of F at end of time+Delta_t that matches rotated F_aim on average
rotation_BC%rotate(F_aim,active=.true.)),&
@ -408,7 +408,7 @@ subroutine grid_mechanical_spectral_polarisation_forward(cutBack,guess,Delta_t,D
! set module wide available data
params%stress_mask = stress_BC%mask
params%rotation_BC = rotation_BC
params%timeinc = Delta_t
params%Delta_t = Delta_t
end subroutine grid_mechanical_spectral_polarisation_forward
@ -445,22 +445,26 @@ subroutine grid_mechanical_spectral_polarisation_restartWrite
fileHandle = HDF5_openFile(getSolverJobName()//'_restart.hdf5','w')
groupHandle = HDF5_addGroup(fileHandle,'solver')
call HDF5_write(F_aim,groupHandle,'P_aim',.false.)
call HDF5_write(F_aim,groupHandle,'F_aim',.false.)
call HDF5_write(F_aim_lastInc,groupHandle,'F_aim_lastInc',.false.)
call HDF5_write(F_aimDot,groupHandle,'F_aimDot',.false.)
call HDF5_write(F,groupHandle,'F')
call HDF5_write(F_lastInc,groupHandle,'F_lastInc')
call HDF5_write(F_tau,groupHandle,'F_tau')
call HDF5_write(F_tau_lastInc,groupHandle,'F_tau_lastInc')
call HDF5_write(C_volAvg,groupHandle,'C_volAvg',.false.)
call HDF5_write(C_volAvgLastInc,groupHandle,'C_volAvgLastInc',.false.)
call HDF5_closeGroup(groupHandle)
call HDF5_closeFile(fileHandle)
if (worldrank == 0) then
fileHandle = HDF5_openFile(getSolverJobName()//'_restart.hdf5','a',.false.)
groupHandle = HDF5_openGroup(fileHandle,'solver')
call HDF5_write(F_aim,groupHandle,'P_aim',.false.)
call HDF5_write(F_aim,groupHandle,'F_aim',.false.)
call HDF5_write(F_aim_lastInc,groupHandle,'F_aim_lastInc',.false.)
call HDF5_write(F_aimDot,groupHandle,'F_aimDot',.false.)
call HDF5_write(C_volAvg,groupHandle,'C_volAvg',.false.)
call HDF5_write(C_volAvgLastInc,groupHandle,'C_volAvgLastInc',.false.)
call HDF5_closeGroup(groupHandle)
call HDF5_closeFile(fileHandle)
endif
if(num%update_gamma) call utilities_saveReferenceStiffness
call DMDAVecRestoreArrayF90(da,solution_vec,FandF_tau,ierr); CHKERRQ(ierr)
@ -592,14 +596,14 @@ subroutine formResidual(in, FandF_tau, &
! evaluate constitutive response
call utilities_constitutiveResponse(residual_F, & ! "residuum" gets field of first PK stress (to save memory)
P_av,C_volAvg,C_minMaxAvg, &
F - residual_F_tau/num%beta,params%timeinc,params%rotation_BC)
F - residual_F_tau/num%beta,params%Delta_t,params%rotation_BC)
call MPI_Allreduce(MPI_IN_PLACE,terminallyIll,1,MPI_LOGICAL,MPI_LOR,MPI_COMM_WORLD,ierr)
!--------------------------------------------------------------------------------------------------
! stress BC handling
F_aim = F_aim - math_mul3333xx33(S, P_av - P_aim) ! S = 0.0 for no bc
err_BC = maxval(abs(merge(P_av-P_aim, &
math_mul3333xx33(C_scale,F_aim-params%rotation_BC%rotate(F_av)),&
err_BC = maxval(abs(merge(math_mul3333xx33(C_scale,F_aim-params%rotation_BC%rotate(F_av)), &
P_av-P_aim, &
params%stress_mask)))
! calculate divergence
tensorField_real = 0.0_pReal

14
src/grid/grid_thermal_spectral.f90
View File

@ -155,10 +155,10 @@ end subroutine grid_thermal_spectral_init
!--------------------------------------------------------------------------------------------------
!> @brief solution for the spectral thermal scheme with internal iterations
!--------------------------------------------------------------------------------------------------
function grid_thermal_spectral_solution(timeinc) result(solution)
function grid_thermal_spectral_solution(Delta_t) result(solution)
real(pReal), intent(in) :: &
timeinc !< increment in time for current solution
Delta_t !< increment in time for current solution
integer :: i, j, k, ce
type(tSolutionState) :: solution
PetscInt :: devNull
@ -171,7 +171,7 @@ function grid_thermal_spectral_solution(timeinc) result(solution)
!--------------------------------------------------------------------------------------------------
! set module wide availabe data
params%timeinc = timeinc
params%Delta_t = Delta_t
call SNESSolve(thermal_snes,PETSC_NULL_VEC,solution_vec,ierr); CHKERRQ(ierr)
call SNESGetConvergedReason(thermal_snes,reason,ierr); CHKERRQ(ierr)
@ -195,7 +195,7 @@ function grid_thermal_spectral_solution(timeinc) result(solution)
ce = 0
do k = 1, grid3; do j = 1, grid(2); do i = 1,grid(1)
ce = ce + 1
call homogenization_thermal_setField(T_current(i,j,k),(T_current(i,j,k)-T_lastInc(i,j,k))/params%timeinc,ce)
call homogenization_thermal_setField(T_current(i,j,k),(T_current(i,j,k)-T_lastInc(i,j,k))/params%Delta_t,ce)
enddo; enddo; enddo
call VecMin(solution_vec,devNull,T_min,ierr); CHKERRQ(ierr)
@ -233,7 +233,7 @@ subroutine grid_thermal_spectral_forward(cutBack)
ce = 0
do k = 1, grid3; do j = 1, grid(2); do i = 1,grid(1)
ce = ce + 1
call homogenization_thermal_setField(T_current(i,j,k),(T_current(i,j,k)-T_lastInc(i,j,k))/params%timeinc,ce)
call homogenization_thermal_setField(T_current(i,j,k),(T_current(i,j,k)-T_lastInc(i,j,k))/params%Delta_t,ce)
enddo; enddo; enddo
else
T_lastInc = T_current
@ -279,7 +279,7 @@ subroutine formResidual(in,x_scal,f_scal,dummy,ierr)
ce = 0
do k = 1, grid3; do j = 1, grid(2); do i = 1,grid(1)
ce = ce + 1
scalarField_real(i,j,k) = params%timeinc*(scalarField_real(i,j,k) + homogenization_f_T(ce)) &
scalarField_real(i,j,k) = params%Delta_t*(scalarField_real(i,j,k) + homogenization_f_T(ce)) &
+ homogenization_mu_T(ce) * (T_lastInc(i,j,k) - T_current(i,j,k)) &
+ mu_ref*T_current(i,j,k)
enddo; enddo; enddo
@ -287,7 +287,7 @@ subroutine formResidual(in,x_scal,f_scal,dummy,ierr)
!--------------------------------------------------------------------------------------------------
! convolution of temperature field with green operator
call utilities_FFTscalarForward
call utilities_fourierGreenConvolution(K_ref, mu_ref, params%timeinc)
call utilities_fourierGreenConvolution(K_ref, mu_ref, params%Delta_t)
call utilities_FFTscalarBackward
!--------------------------------------------------------------------------------------------------

42
src/grid/spectral_utilities.f90
View File

@ -88,7 +88,7 @@ module spectral_utilities
type, public :: tBoundaryCondition !< set of parameters defining a boundary condition
real(pReal), dimension(3,3) :: values = 0.0_pReal
logical, dimension(3,3) :: mask = .false.
logical, dimension(3,3) :: mask = .true.
character(len=:), allocatable :: myType
end type tBoundaryCondition
@ -96,7 +96,7 @@ module spectral_utilities
real(pReal), dimension(3,3) :: stress_BC
logical, dimension(3,3) :: stress_mask
type(rotation) :: rotation_BC
real(pReal) :: timeinc
real(pReal) :: Delta_t
end type tSolutionParams
type :: tNumerics
@ -392,8 +392,8 @@ subroutine utilities_updateGamma(C)
xiDyad_cmplx(l,m) = conjg(-xi1st(l,i,j,k-grid3Offset))*xi1st(m,i,j,k-grid3Offset)
forall(l = 1:3, m = 1:3) &
temp33_complex(l,m) = sum(cmplx(C_ref(l,1:3,m,1:3),0.0_pReal)*xiDyad_cmplx)
A(1:3,1:3) = real(temp33_complex); A(4:6,4:6) = real(temp33_complex)
A(1:3,4:6) = aimag(temp33_complex); A(4:6,1:3) = -aimag(temp33_complex)
A(1:3,1:3) = temp33_complex%re; A(4:6,4:6) = temp33_complex%re
A(1:3,4:6) = temp33_complex%im; A(4:6,1:3) = -temp33_complex%im
if (abs(math_det33(A(1:3,1:3))) > 1e-16) then
call math_invert(A_inv, err, A)
temp33_complex = cmplx(A_inv(1:3,1:3),A_inv(1:3,4:6),pReal)
@ -509,8 +509,8 @@ subroutine utilities_fourierGammaConvolution(fieldAim)
xiDyad_cmplx(l,m) = conjg(-xi1st(l,i,j,k))*xi1st(m,i,j,k)
forall(l = 1:3, m = 1:3) &
temp33_complex(l,m) = sum(cmplx(C_ref(l,1:3,m,1:3),0.0_pReal)*xiDyad_cmplx)
A(1:3,1:3) = real(temp33_complex); A(4:6,4:6) = real(temp33_complex)
A(1:3,4:6) = aimag(temp33_complex); A(4:6,1:3) = -aimag(temp33_complex)
A(1:3,1:3) = temp33_complex%re; A(4:6,4:6) = temp33_complex%re
A(1:3,4:6) = temp33_complex%im; A(4:6,1:3) = -temp33_complex%im
if (abs(math_det33(A(1:3,1:3))) > 1e-16) then
call math_invert(A_inv, err, A)
temp33_complex = cmplx(A_inv(1:3,1:3),A_inv(1:3,4:6),pReal)
@ -630,7 +630,7 @@ real(pReal) function utilities_curlRMS()
-tensorField_fourier(l,1,i,j,k)*xi1st(2,i,j,k)*rescaledGeom(2))
enddo
utilities_curlRMS = utilities_curlRMS &
+2.0_pReal*sum(real(curl_fourier)**2.0_pReal+aimag(curl_fourier)**2.0_pReal)! Has somewhere a conj. complex counterpart. Therefore count it twice.
+2.0_pReal*sum(curl_fourier%re**2.0_pReal+curl_fourier%im**2.0_pReal) ! Has somewhere a conj. complex counterpart. Therefore count it twice.
enddo
do l = 1, 3
curl_fourier = (+tensorField_fourier(l,3,1,j,k)*xi1st(2,1,j,k)*rescaledGeom(2) &
@ -641,7 +641,7 @@ real(pReal) function utilities_curlRMS()
-tensorField_fourier(l,1,1,j,k)*xi1st(2,1,j,k)*rescaledGeom(2))
enddo
utilities_curlRMS = utilities_curlRMS &
+ sum(real(curl_fourier)**2.0_pReal + aimag(curl_fourier)**2.0_pReal) ! this layer (DC) does not have a conjugate complex counterpart (if grid(1) /= 1)
+ sum(curl_fourier%re**2.0_pReal + curl_fourier%im**2.0_pReal) ! this layer (DC) does not have a conjugate complex counterpart (if grid(1) /= 1)
do l = 1, 3
curl_fourier = (+tensorField_fourier(l,3,grid1Red,j,k)*xi1st(2,grid1Red,j,k)*rescaledGeom(2) &
-tensorField_fourier(l,2,grid1Red,j,k)*xi1st(3,grid1Red,j,k)*rescaledGeom(3))
@ -651,7 +651,7 @@ real(pReal) function utilities_curlRMS()
-tensorField_fourier(l,1,grid1Red,j,k)*xi1st(2,grid1Red,j,k)*rescaledGeom(2))
enddo
utilities_curlRMS = utilities_curlRMS &
+ sum(real(curl_fourier)**2.0_pReal + aimag(curl_fourier)**2.0_pReal) ! this layer (Nyquist) does not have a conjugate complex counterpart (if grid(1) /= 1)
+ sum(curl_fourier%re**2.0_pReal + curl_fourier%im**2.0_pReal) ! this layer (Nyquist) does not have a conjugate complex counterpart (if grid(1) /= 1)
enddo; enddo
call MPI_Allreduce(MPI_IN_PLACE,utilities_curlRMS,1,MPI_DOUBLE,MPI_SUM,MPI_COMM_WORLD,ierr)
@ -684,7 +684,7 @@ function utilities_maskedCompliance(rot_BC,mask_stress,C)
logical :: errmatinv
character(len=pStringLen):: formatString
mask_stressVector = reshape(transpose(mask_stress), [9])
mask_stressVector = .not. reshape(transpose(mask_stress), [9])
size_reduced = count(mask_stressVector)
if(size_reduced > 0) then
temp99_real = math_3333to99(rot_BC%rotate(C))
@ -791,16 +791,16 @@ end subroutine utilities_fourierTensorDivergence
!--------------------------------------------------------------------------------------------------
!> @brief calculate constitutive response from homogenization_F0 to F during timeinc
!> @brief calculate constitutive response from homogenization_F0 to F during Delta_t
!--------------------------------------------------------------------------------------------------
subroutine utilities_constitutiveResponse(P,P_av,C_volAvg,C_minmaxAvg,&
F,timeinc,rotation_BC)
F,Delta_t,rotation_BC)
real(pReal), intent(out), dimension(3,3,3,3) :: C_volAvg, C_minmaxAvg !< average stiffness
real(pReal), intent(out), dimension(3,3) :: P_av !< average PK stress
real(pReal), intent(out), dimension(3,3,grid(1),grid(2),grid3) :: P !< PK stress
real(pReal), intent(in), dimension(3,3,grid(1),grid(2),grid3) :: F !< deformation gradient target
real(pReal), intent(in) :: timeinc !< loading time
real(pReal), intent(in) :: Delta_t !< loading time
type(rotation), intent(in), optional :: rotation_BC !< rotation of load frame
@ -815,11 +815,11 @@ subroutine utilities_constitutiveResponse(P,P_av,C_volAvg,C_minmaxAvg,&
homogenization_F = reshape(F,[3,3,product(grid(1:2))*grid3]) ! set materialpoint target F to estimated field
call homogenization_mechanical_response(timeinc,[1,1],[1,product(grid(1:2))*grid3]) ! calculate P field
call homogenization_mechanical_response(Delta_t,[1,1],[1,product(grid(1:2))*grid3]) ! calculate P field
if (.not. terminallyIll) &
call homogenization_thermal_response(timeinc,[1,1],[1,product(grid(1:2))*grid3])
call homogenization_thermal_response(Delta_t,[1,1],[1,product(grid(1:2))*grid3])
if (.not. terminallyIll) &
call homogenization_mechanical_response2(timeinc,[1,1],[1,product(grid(1:2))*grid3])
call homogenization_mechanical_response2(Delta_t,[1,1],[1,product(grid(1:2))*grid3])
P = reshape(homogenization_P, [3,3,grid(1),grid(2),grid3])
P_av = sum(sum(sum(P,dim=5),dim=4),dim=3) * wgt
@ -870,14 +870,14 @@ end subroutine utilities_constitutiveResponse
!--------------------------------------------------------------------------------------------------
!> @brief calculates forward rate, either guessing or just add delta/timeinc
!> @brief calculates forward rate, either guessing or just add delta/Delta_t
!--------------------------------------------------------------------------------------------------
pure function utilities_calculateRate(heterogeneous,field0,field,dt,avRate)
real(pReal), intent(in), dimension(3,3) :: &
avRate !< homogeneous addon
real(pReal), intent(in) :: &
dt !< timeinc between field0 and field
dt !< Delta_t between field0 and field
logical, intent(in) :: &
heterogeneous !< calculate field of rates
real(pReal), intent(in), dimension(3,3,grid(1),grid(2),grid3) :: &
@ -899,10 +899,10 @@ end function utilities_calculateRate
!> @brief forwards a field with a pointwise given rate, if aim is given,
!> ensures that the average matches the aim
!--------------------------------------------------------------------------------------------------
function utilities_forwardField(timeinc,field_lastInc,rate,aim)
function utilities_forwardField(Delta_t,field_lastInc,rate,aim)
real(pReal), intent(in) :: &
timeinc !< timeinc of current step
Delta_t !< Delta_t of current step
real(pReal), intent(in), dimension(3,3,grid(1),grid(2),grid3) :: &
field_lastInc, & !< initial field
rate !< rate by which to forward
@ -913,7 +913,7 @@ function utilities_forwardField(timeinc,field_lastInc,rate,aim)
real(pReal), dimension(3,3) :: fieldDiff !< <a + adot*t> - aim
PetscErrorCode :: ierr
utilities_forwardField = field_lastInc + rate*timeinc
utilities_forwardField = field_lastInc + rate*Delta_t
if (present(aim)) then !< correct to match average
fieldDiff = sum(sum(sum(utilities_forwardField,dim=5),dim=4),dim=3)*wgt
call MPI_Allreduce(MPI_IN_PLACE,fieldDiff,9,MPI_DOUBLE,MPI_SUM,MPI_COMM_WORLD,ierr)

30
src/homogenization_mechanical_RGC.f90
View File

@ -766,25 +766,21 @@ end function relaxationVector
!--------------------------------------------------------------------------------------------------
!> @brief identify the normal of an interface
!--------------------------------------------------------------------------------------------------
pure function interfaceNormal(intFace,ho,en)
real(pReal), dimension(3) :: interfaceNormal
pure function interfaceNormal(intFace,ho,en) result(n)
real(pReal), dimension(3) :: n
integer, dimension(4), intent(in) :: intFace !< interface ID in 4D array (normal and position)
integer, intent(in) :: &
ho, &
en
integer :: nPos
associate (dst => dependentState(ho))
!--------------------------------------------------------------------------------------------------
! get the normal of the interface, identified from the value of intFace(1)
interfaceNormal = 0.0_pReal
nPos = abs(intFace(1)) ! identify the position of the interface in global state array
interfaceNormal(nPos) = real(intFace(1)/abs(intFace(1)),pReal) ! get the normal vector w.r.t. cluster axis
n = 0.0_pReal
n(abs(intFace(1))) = real(intFace(1)/abs(intFace(1)),pReal) ! get the normal vector w.r.t. cluster axis
interfaceNormal = matmul(dst%orientation(1:3,1:3,en),interfaceNormal) ! map the normal vector into sample coordinate system (basis)
n = matmul(dst%orientation(1:3,1:3,en),n) ! map the normal vector into sample coordinate system (basis)
end associate
@ -794,22 +790,18 @@ end function interfaceNormal
!--------------------------------------------------------------------------------------------------
!> @brief collect six faces of a grain in 4D (normal and position)
!--------------------------------------------------------------------------------------------------
pure function getInterface(iFace,iGrain3)
integer, dimension(4) :: getInterface
pure function getInterface(iFace,iGrain3) result(i)
integer, dimension(4) :: i
integer, dimension(3), intent(in) :: iGrain3 !< grain ID in 3D array
integer, intent(in) :: iFace !< face index (1..6) mapped like (-e1,-e2,-e3,+e1,+e2,+e3) or iDir = (-1,-2,-3,1,2,3)
integer :: iDir !< direction of interface normal
iDir = (int(real(iFace-1,pReal)/2.0_pReal)+1)*(-1)**iFace
getInterface(1) = iDir
!--------------------------------------------------------------------------------------------------
! identify the interface position by the direction of its normal
getInterface(2:4) = iGrain3
if (iDir < 0) getInterface(1-iDir) = getInterface(1-iDir)-1 ! to have a correlation with coordinate/position in real space
iDir = (int(real(iFace-1,pReal)/2.0_pReal)+1)*(-1)**iFace
i = [iDir,iGrain3]
if (iDir < 0) i(1-iDir) = i(1-iDir)-1 ! to have a correlation with coordinate/position in real space
end function getInterface

7
src/lattice.f90
View File

@ -1930,6 +1930,7 @@ subroutine buildTransformationSystem(Q,S,Ntrans,cOverA,a_fcc,a_bcc)
-1,-2,-1, -1, 1,-1, &
-1, 1, 2, -1, 1,-1 &
],pReal),shape(FCCTOHEX_SYSTEMTRANS))
real(pReal), dimension(4,fcc_Ntrans), parameter :: &
FCCTOBCC_SYSTEMTRANS = reshape([&
0.0, 1.0, 0.0, 10.26, & ! Pitsch OR (Ma & Hartmaier 2014, Table 3)
@ -1978,7 +1979,7 @@ subroutine buildTransformationSystem(Q,S,Ntrans,cOverA,a_fcc,a_bcc)
0.0, 0.0, 1.0, 45.0 &
],shape(FCCTOBCC_BAINROT))
if (a_bcc > 0.0_pReal .and. a_fcc > 0.0_pReal .and. dEq0(cOverA)) then ! fcc -> bcc transformation
if (a_bcc > 0.0_pReal .and. a_fcc > 0.0_pReal .and. dEq0(cOverA)) then ! fcc -> bcc
do i = 1,sum(Ntrans)
call R%fromAxisAngle(FCCTOBCC_SYSTEMTRANS(:,i),degrees=.true.,P=1)
call B%fromAxisAngle(FCCTOBCC_BAINROT(:,i), degrees=.true.,P=1)
@ -1992,7 +1993,7 @@ subroutine buildTransformationSystem(Q,S,Ntrans,cOverA,a_fcc,a_bcc)
Q(1:3,1:3,i) = matmul(R%asMatrix(),B%asMatrix())
S(1:3,1:3,i) = matmul(R%asMatrix(),U) - MATH_I3
enddo
elseif (cOverA > 0.0_pReal .and. dEq0(a_bcc)) then ! fcc -> hex transformation
elseif (cOverA > 0.0_pReal .and. dEq0(a_bcc)) then ! fcc -> hex
ss = MATH_I3
sd = MATH_I3
ss(1,3) = sqrt(2.0_pReal)/4.0_pReal
@ -2062,7 +2063,7 @@ function getlabels(active,potential,system) result(labels)
enddo normal
label(i:i) = ')'
labels(s) = label
labels(a) = label
enddo activeSystems
enddo activeFamilies

7
src/phase.f90
View File

@ -67,8 +67,8 @@ module phase
interface
! == cleaned:begin =================================================================================
module subroutine mechanical_init(materials,phases)
class(tNode), pointer :: materials,phases
module subroutine mechanical_init(phases)
class(tNode), pointer :: phases
end subroutine mechanical_init
module subroutine damage_init
@ -386,7 +386,7 @@ subroutine phase_init
phase_O(ph)%data = phase_O_0(ph)%data
enddo
call mechanical_init(materials,phases)
call mechanical_init(phases)
call damage_init
call thermal_init(phases)
@ -482,7 +482,6 @@ end subroutine phase_results
subroutine crystallite_init()
integer :: &
ph, &
ce, &
co, & !< counter in integration point component loop
ip, & !< counter in integration point loop

2
src/phase_damage.f90
View File

@ -386,7 +386,7 @@ module function phase_K_phi(co,ce) result(K)
real(pReal), dimension(3,3) :: K
real(pReal), parameter :: l = 1.0_pReal
K = crystallite_push33ToRef(co,ce,param(material_phaseID(co,ce))%D) \
K = crystallite_push33ToRef(co,ce,param(material_phaseID(co,ce))%D) &
* l**2.0_pReal
end function phase_K_phi

3
src/phase_mechanical.f90
View File

@ -199,10 +199,9 @@ contains
!> @brief Initialize mechanical field related constitutive models
!> @details Initialize elasticity, plasticity and stiffness degradation models.
!--------------------------------------------------------------------------------------------------
module subroutine mechanical_init(materials,phases)
module subroutine mechanical_init(phases)
class(tNode), pointer :: &
materials, &
phases
integer :: &

2
src/phase_mechanical_elastic.f90
View File

@ -146,7 +146,7 @@ module function elastic_nu(ph) result(nu)
integer, intent(in) :: ph
nu = param(ph)%mu
nu = param(ph)%nu
end function elastic_nu

51
src/phase_mechanical_plastic_dislotungsten.f90
View File

@ -44,20 +44,22 @@ submodule(phase:plastic) dislotungsten
output
logical :: &
dipoleFormation !< flag indicating consideration of dipole formation
end type !< container type for internal constitutive parameters
character(len=:), allocatable, dimension(:) :: &
systems_sl
end type tParameters !< container type for internal constitutive parameters
type :: tDisloTungstenState
type :: tDislotungstenState
real(pReal), dimension(:,:), pointer :: &
rho_mob, &
rho_dip, &
gamma_sl
end type tDisloTungstenState
end type tDislotungstenState
type :: tDisloTungstendependentState
type :: tDislotungstenDependentState
real(pReal), dimension(:,:), allocatable :: &
Lambda_sl, &
tau_pass
end type tDisloTungstendependentState
end type tDislotungstenDependentState
!--------------------------------------------------------------------------------------------------
! containers for parameters and state
@ -65,7 +67,7 @@ submodule(phase:plastic) dislotungsten
type(tDisloTungstenState), allocatable, dimension(:) :: &
dotState, &
state
type(tDisloTungstendependentState), allocatable, dimension(:) :: dependentState
type(tDisloTungstenDependentState), allocatable, dimension(:) :: dependentState
contains
@ -78,7 +80,7 @@ module function plastic_dislotungsten_init() result(myPlasticity)
logical, dimension(:), allocatable :: myPlasticity
integer :: &
ph, i, &
ph, &
Nmembers, &
sizeState, sizeDotState, &
startIndex, endIndex
@ -136,6 +138,7 @@ module function plastic_dislotungsten_init() result(myPlasticity)
N_sl = pl%get_as1dInt('N_sl',defaultVal=emptyIntArray)
prm%sum_N_sl = sum(abs(N_sl))
slipActive: if (prm%sum_N_sl > 0) then
prm%systems_sl = lattice_labels_slip(N_sl,phase_lattice(ph))
prm%P_sl = lattice_SchmidMatrix_slip(N_sl,phase_lattice(ph),phase_cOverA(ph))
if (phase_lattice(ph) == 'cI') then
@ -394,28 +397,34 @@ module subroutine plastic_dislotungsten_results(ph,group)
integer, intent(in) :: ph
character(len=*), intent(in) :: group
integer :: o
integer :: ou
associate(prm => param(ph), stt => state(ph), dst => dependentState(ph))
outputsLoop: do o = 1,size(prm%output)
select case(trim(prm%output(o)))
do ou = 1,size(prm%output)
select case(trim(prm%output(ou)))
case('rho_mob')
if(prm%sum_N_sl>0) call results_writeDataset(stt%rho_mob,group,trim(prm%output(o)), &
'mobile dislocation density','1/m²')
call results_writeDataset(stt%rho_mob,group,trim(prm%output(ou)), &
'mobile dislocation density','1/m²',prm%systems_sl)
case('rho_dip')
if(prm%sum_N_sl>0) call results_writeDataset(stt%rho_dip,group,trim(prm%output(o)), &
'dislocation dipole density','1/m²')
call results_writeDataset(stt%rho_dip,group,trim(prm%output(ou)), &
'dislocation dipole density','1/m²',prm%systems_sl)
case('gamma_sl')
if(prm%sum_N_sl>0) call results_writeDataset(stt%gamma_sl,group,trim(prm%output(o)), &
'plastic shear','1')
call results_writeDataset(stt%gamma_sl,group,trim(prm%output(ou)), &
'plastic shear','1',prm%systems_sl)
case('Lambda_sl')
if(prm%sum_N_sl>0) call results_writeDataset(dst%Lambda_sl,group,trim(prm%output(o)), &
'mean free path for slip','m')
call results_writeDataset(dst%Lambda_sl,group,trim(prm%output(ou)), &
'mean free path for slip','m',prm%systems_sl)
case('tau_pass')
if(prm%sum_N_sl>0) call results_writeDataset(dst%tau_pass,group,trim(prm%output(o)), &
'threshold stress for slip','Pa')
call results_writeDataset(dst%tau_pass,group,trim(prm%output(ou)), &
'threshold stress for slip','Pa',prm%systems_sl)
end select
enddo outputsLoop
enddo
end associate
end subroutine plastic_dislotungsten_results

58
src/phase_mechanical_plastic_dislotwin.f90
View File

@ -82,6 +82,9 @@ submodule(phase:plastic) dislotwin
ExtendedDislocations, & !< consider split into partials for climb calculation
fccTwinTransNucleation, & !< twinning and transformation models are for fcc
omitDipoles !< flag controlling consideration of dipole formation
character(len=:), allocatable, dimension(:) :: &
systems_sl, &
systems_tw
end type !< container type for internal constitutive parameters
type :: tDislotwinState
@ -93,7 +96,7 @@ submodule(phase:plastic) dislotwin
f_tr
end type tDislotwinState
type :: tDislotwinMicrostructure
type :: tDislotwinDependentState
real(pReal), dimension(:,:), allocatable :: &
Lambda_sl, & !< mean free path between 2 obstacles seen by a moving dislocation
Lambda_tw, & !< mean free path between 2 obstacles seen by a growing twin
@ -105,7 +108,7 @@ submodule(phase:plastic) dislotwin
V_tr, & !< volume of a new martensite disc
tau_r_tw, & !< stress to bring partials close together (twin)
tau_r_tr !< stress to bring partials close together (trans)
end type tDislotwinMicrostructure
end type tDislotwinDependentState
!--------------------------------------------------------------------------------------------------
! containers for parameters and state
@ -113,7 +116,7 @@ submodule(phase:plastic) dislotwin
type(tDislotwinState), allocatable, dimension(:) :: &
dotState, &
state
type(tDislotwinMicrostructure), allocatable, dimension(:) :: dependentState
type(tDislotwinDependentState), allocatable, dimension(:) :: dependentState
contains
@ -192,6 +195,7 @@ module function plastic_dislotwin_init() result(myPlasticity)
N_sl = pl%get_as1dInt('N_sl',defaultVal=emptyIntArray)
prm%sum_N_sl = sum(abs(N_sl))
slipActive: if (prm%sum_N_sl > 0) then
prm%systems_sl = lattice_labels_slip(N_sl,phase_lattice(ph))
prm%P_sl = lattice_SchmidMatrix_slip(N_sl,phase_lattice(ph),phase_cOverA(ph))
prm%h_sl_sl = lattice_interaction_SlipBySlip(N_sl,pl%get_as1dFloat('h_sl-sl'),phase_lattice(ph))
prm%forestProjection = lattice_forestProjection_edge(N_sl,phase_lattice(ph),phase_cOverA(ph))
@ -259,6 +263,7 @@ module function plastic_dislotwin_init() result(myPlasticity)
N_tw = pl%get_as1dInt('N_tw', defaultVal=emptyIntArray)
prm%sum_N_tw = sum(abs(N_tw))
twinActive: if (prm%sum_N_tw > 0) then
prm%systems_tw = lattice_labels_twin(N_tw,phase_lattice(ph))
prm%P_tw = lattice_SchmidMatrix_twin(N_tw,phase_lattice(ph),phase_cOverA(ph))
prm%h_tw_tw = lattice_interaction_TwinByTwin(N_tw,pl%get_as1dFloat('h_tw-tw'), &
phase_lattice(ph))
@ -787,44 +792,49 @@ module subroutine plastic_dislotwin_results(ph,group)
integer, intent(in) :: ph
character(len=*), intent(in) :: group
integer :: o
integer :: ou
associate(prm => param(ph), stt => state(ph), dst => dependentState(ph))
outputsLoop: do o = 1,size(prm%output)
select case(trim(prm%output(o)))
do ou = 1,size(prm%output)
select case(trim(prm%output(ou)))
case('rho_mob')
if(prm%sum_N_sl>0) call results_writeDataset(stt%rho_mob,group,trim(prm%output(o)), &
'mobile dislocation density','1/m²')
call results_writeDataset(stt%rho_mob,group,trim(prm%output(ou)), &
'mobile dislocation density','1/m²',prm%systems_sl)
case('rho_dip')
if(prm%sum_N_sl>0) call results_writeDataset(stt%rho_dip,group,trim(prm%output(o)), &
'dislocation dipole density','1/m²')
call results_writeDataset(stt%rho_dip,group,trim(prm%output(ou)), &
'dislocation dipole density','1/m²',prm%systems_sl)
case('gamma_sl')
if(prm%sum_N_sl>0) call results_writeDataset(stt%gamma_sl,group,trim(prm%output(o)), &
'plastic shear','1')
call results_writeDataset(stt%gamma_sl,group,trim(prm%output(ou)), &
'plastic shear','1',prm%systems_sl)
case('Lambda_sl')
if(prm%sum_N_sl>0) call results_writeDataset(dst%Lambda_sl,group,trim(prm%output(o)), &
'mean free path for slip','m')
call results_writeDataset(dst%Lambda_sl,group,trim(prm%output(ou)), &
'mean free path for slip','m',prm%systems_sl)
case('tau_pass')
if(prm%sum_N_sl>0) call results_writeDataset(dst%tau_pass,group,trim(prm%output(o)), &
'passing stress for slip','Pa')
call results_writeDataset(dst%tau_pass,group,trim(prm%output(ou)), &
'passing stress for slip','Pa',prm%systems_sl)
case('f_tw')
if(prm%sum_N_tw>0) call results_writeDataset(stt%f_tw,group,trim(prm%output(o)), &
'twinned volume fraction','m³/m³')
call results_writeDataset(stt%f_tw,group,trim(prm%output(ou)), &
'twinned volume fraction','m³/m³',prm%systems_tw)
case('Lambda_tw')
if(prm%sum_N_tw>0) call results_writeDataset(dst%Lambda_tw,group,trim(prm%output(o)), &
'mean free path for twinning','m')
call results_writeDataset(dst%Lambda_tw,group,trim(prm%output(ou)), &
'mean free path for twinning','m',prm%systems_tw)
case('tau_hat_tw')
if(prm%sum_N_tw>0) call results_writeDataset(dst%tau_hat_tw,group,trim(prm%output(o)), &
'threshold stress for twinning','Pa')
call results_writeDataset(dst%tau_hat_tw,group,trim(prm%output(ou)), &
'threshold stress for twinning','Pa',prm%systems_tw)
case('f_tr')
if(prm%sum_N_tr>0) call results_writeDataset(stt%f_tr,group,trim(prm%output(o)), &
if(prm%sum_N_tr>0) call results_writeDataset(stt%f_tr,group,trim(prm%output(ou)), &
'martensite volume fraction','m³/m³')
end select
enddo outputsLoop
enddo
end associate
end subroutine plastic_dislotwin_results

42
src/phase_mechanical_plastic_kinehardening.f90
View File

@ -30,6 +30,8 @@ submodule(phase:plastic) kinehardening
nonSchmidActive = .false.
character(len=pStringLen), allocatable, dimension(:) :: &
output
character(len=:), allocatable, dimension(:) :: &
systems_sl
end type tParameters
type :: tKinehardeningState
@ -40,7 +42,6 @@ submodule(phase:plastic) kinehardening
gamma, & !< accumulated (absolute) shear
gamma_0, & !< accumulated shear at last switch of stress sense
sgn_gamma !< sense of acting shear stress (-1 or +1)
end type tKinehardeningState
!--------------------------------------------------------------------------------------------------
@ -113,6 +114,7 @@ module function plastic_kinehardening_init() result(myPlasticity)
N_sl = pl%get_as1dInt('N_sl',defaultVal=emptyIntArray)
prm%sum_N_sl = sum(abs(N_sl))
slipActive: if (prm%sum_N_sl > 0) then
prm%systems_sl = lattice_labels_slip(N_sl,phase_lattice(ph))
prm%P = lattice_SchmidMatrix_slip(N_sl,phase_lattice(ph),phase_cOverA(ph))
if (phase_lattice(ph) == 'cI') then
@ -351,31 +353,37 @@ module subroutine plastic_kinehardening_results(ph,group)
integer, intent(in) :: ph
character(len=*), intent(in) :: group
integer :: o
integer :: ou
associate(prm => param(ph), stt => state(ph))
outputsLoop: do o = 1,size(prm%output)
select case(trim(prm%output(o)))
do ou = 1,size(prm%output)
select case(trim(prm%output(ou)))
case ('xi')
if(prm%sum_N_sl>0) call results_writeDataset(stt%xi,group,trim(prm%output(o)), &
'resistance against plastic slip','Pa')
call results_writeDataset(stt%xi,group,trim(prm%output(ou)), &
'resistance against plastic slip','Pa',prm%systems_sl)
case ('chi')
if(prm%sum_N_sl>0) call results_writeDataset(stt%chi,group,trim(prm%output(o)), &
'back stress','Pa')
call results_writeDataset(stt%chi,group,trim(prm%output(ou)), &
'back stress','Pa',prm%systems_sl)
case ('sgn(gamma)')
if(prm%sum_N_sl>0) call results_writeDataset(int(stt%sgn_gamma),group,trim(prm%output(o)), &
'sense of shear','1')
call results_writeDataset(int(stt%sgn_gamma),group,trim(prm%output(ou)), &
'sense of shear','1',prm%systems_sl)
case ('chi_0')
if(prm%sum_N_sl>0) call results_writeDataset(stt%chi_0,group,trim(prm%output(o)), &
'back stress at last switch of stress sense','Pa')
call results_writeDataset(stt%chi_0,group,trim(prm%output(ou)), &
'back stress at last switch of stress sense','Pa',prm%systems_sl)
case ('gamma_0')
if(prm%sum_N_sl>0) call results_writeDataset(stt%gamma_0,group,trim(prm%output(o)), &
'plastic shear at last switch of stress sense','1')
call results_writeDataset(stt%gamma_0,group,trim(prm%output(ou)), &
'plastic shear at last switch of stress sense','1',prm%systems_sl)
case ('gamma')
if(prm%sum_N_sl>0) call results_writeDataset(stt%gamma,group,trim(prm%output(o)), &
'plastic shear','1')
call results_writeDataset(stt%gamma,group,trim(prm%output(ou)), &
'plastic shear','1',prm%systems_sl)
end select
enddo outputsLoop
enddo
end associate
end subroutine plastic_kinehardening_results

113
src/phase_mechanical_plastic_nonlocal.f90
View File

@ -120,13 +120,15 @@ submodule(phase:plastic) nonlocal
logical :: &
shortRangeStressCorrection, & !< use of short range stress correction by excess density gradient term
nonSchmidActive = .false.
character(len=:), allocatable, dimension(:) :: &
systems_sl
end type tParameters
type :: tNonlocalMicrostructure
type :: tNonlocalDependentState
real(pReal), allocatable, dimension(:,:) :: &
tau_pass, &
tau_Back
end type tNonlocalMicrostructure
end type tNonlocalDependentState
type :: tNonlocalState
real(pReal), pointer, dimension(:,:) :: &
@ -162,7 +164,7 @@ submodule(phase:plastic) nonlocal
type(tParameters), dimension(:), allocatable :: param !< containers of constitutive parameters
type(tNonlocalMicrostructure), dimension(:), allocatable :: microstructure
type(tNonlocalDependentState), dimension(:), allocatable :: dependentState
contains
@ -219,13 +221,13 @@ module function plastic_nonlocal_init() result(myPlasticity)
allocate(state0(phases%length))
allocate(dotState(phases%length))
allocate(deltaState(phases%length))
allocate(microstructure(phases%length))
allocate(dependentState(phases%length))
do ph = 1, phases%length
if(.not. myPlasticity(ph)) cycle
associate(prm => param(ph), dot => dotState(ph), stt => state(ph), &
st0 => state0(ph), del => deltaState(ph), dst => microstructure(ph))
st0 => state0(ph), del => deltaState(ph), dst => dependentState(ph))
phase => phases%get(ph)
mech => phase%get('mechanical')
@ -246,6 +248,7 @@ module function plastic_nonlocal_init() result(myPlasticity)
ini%N_sl = pl%get_as1dInt('N_sl',defaultVal=emptyIntArray)
prm%sum_N_sl = sum(abs(ini%N_sl))
slipActive: if (prm%sum_N_sl > 0) then
prm%systems_sl = lattice_labels_slip(ini%N_sl,phase_lattice(ph))
prm%P_sl = lattice_SchmidMatrix_slip(ini%N_sl,phase_lattice(ph), phase_cOverA(ph))
if (phase_lattice(ph) == 'cI') then
@ -604,7 +607,7 @@ module subroutine nonlocal_dependentState(ph, en, ip, el)
real(pReal), dimension(3,param(ph)%sum_N_sl,2) :: &
m ! direction of dislocation motion
associate(prm => param(ph),dst => microstructure(ph), stt => state(ph))
associate(prm => param(ph),dst => dependentState(ph), stt => state(ph))
rho = getRho(ph,en)
@ -771,7 +774,7 @@ module subroutine nonlocal_LpAndItsTangent(Lp,dLp_dMp, &
tau, & !< resolved shear stress including backstress terms
dot_gamma !< shear rate
associate(prm => param(ph),dst=>microstructure(ph),stt=>state(ph))
associate(prm => param(ph),dst=>dependentState(ph),stt=>state(ph))
!*** shortcut to state variables
rho = getRho(ph,en)
@ -867,7 +870,7 @@ module subroutine plastic_nonlocal_deltaState(Mp,ph,en)
dUpperOld, & ! old maximum stable dipole distance for edges and screws
deltaDUpper ! change in maximum stable dipole distance for edges and screws
associate(prm => param(ph),dst => microstructure(ph),del => deltaState(ph))
associate(prm => param(ph),dst => dependentState(ph),del => deltaState(ph))
!*** shortcut to state variables
forall (s = 1:prm%sum_N_sl, t = 1:4) v(s,t) = plasticState(ph)%state(iV(s,t,ph),en)
@ -979,7 +982,7 @@ module subroutine nonlocal_dotState(Mp, Temperature,timestep, &
return
endif
associate(prm => param(ph), dst => microstructure(ph), dot => dotState(ph), stt => state(ph))
associate(prm => param(ph), dst => dependentState(ph), dot => dotState(ph), stt => state(ph))
tau = 0.0_pReal
dot_gamma = 0.0_pReal
@ -1116,8 +1119,11 @@ end subroutine nonlocal_dotState
!---------------------------------------------------------------------------------------------------
!> @brief calculates the rate of change of microstructure
!---------------------------------------------------------------------------------------------------
#if __INTEL_COMPILER >= 2020
non_recursive function rhoDotFlux(timestep,ph,en,ip,el)
#else
function rhoDotFlux(timestep,ph,en,ip,el)
#endif
real(pReal), intent(in) :: &
timestep !< substepped crystallite time increment
integer, intent(in) :: &
@ -1176,7 +1182,7 @@ function rhoDotFlux(timestep,ph,en,ip,el)
associate(prm => param(ph), &
dst => microstructure(ph), &
dst => dependentState(ph), &
dot => dotState(ph), &
stt => state(ph))
ns = prm%sum_N_sl
@ -1458,71 +1464,76 @@ end subroutine plastic_nonlocal_updateCompatibility
!--------------------------------------------------------------------------------------------------
!> @brief writes results to HDF5 output file
!> @brief Write results to HDF5 output file.
!--------------------------------------------------------------------------------------------------
module subroutine plastic_nonlocal_results(ph,group)
integer, intent(in) :: ph
character(len=*),intent(in) :: group
integer :: o
integer :: ou
associate(prm => param(ph),dst => dependentState(ph),stt=>state(ph))
do ou = 1,size(prm%output)
select case(trim(prm%output(ou)))
associate(prm => param(ph),dst => microstructure(ph),stt=>state(ph))
outputsLoop: do o = 1,size(prm%output)
select case(trim(prm%output(o)))
case('rho_u_ed_pos')
if(prm%sum_N_sl>0) call results_writeDataset(stt%rho_sgl_mob_edg_pos,group,trim(prm%output(o)), &
'positive mobile edge density','1/m²')
call results_writeDataset(stt%rho_sgl_mob_edg_pos,group,trim(prm%output(ou)), &
'positive mobile edge density','1/m²', prm%systems_sl)
case('rho_b_ed_pos')
if(prm%sum_N_sl>0) call results_writeDataset(stt%rho_sgl_imm_edg_pos,group,trim(prm%output(o)), &
'positive immobile edge density','1/m²')
call results_writeDataset(stt%rho_sgl_imm_edg_pos,group,trim(prm%output(ou)), &
'positive immobile edge density','1/m²', prm%systems_sl)
case('rho_u_ed_neg')
if(prm%sum_N_sl>0) call results_writeDataset(stt%rho_sgl_mob_edg_neg,group,trim(prm%output(o)), &
'negative mobile edge density','1/m²')
call results_writeDataset(stt%rho_sgl_mob_edg_neg,group,trim(prm%output(ou)), &
'negative mobile edge density','1/m²', prm%systems_sl)
case('rho_b_ed_neg')
if(prm%sum_N_sl>0) call results_writeDataset(stt%rho_sgl_imm_edg_neg,group,trim(prm%output(o)), &
'negative immobile edge density','1/m²')
call results_writeDataset(stt%rho_sgl_imm_edg_neg,group,trim(prm%output(ou)), &
'negative immobile edge density','1/m²', prm%systems_sl)
case('rho_d_ed')
if(prm%sum_N_sl>0) call results_writeDataset(stt%rho_dip_edg,group,trim(prm%output(o)), &
'edge dipole density','1/m²')
call results_writeDataset(stt%rho_dip_edg,group,trim(prm%output(ou)), &
'edge dipole density','1/m²', prm%systems_sl)
case('rho_u_sc_pos')
if(prm%sum_N_sl>0) call results_writeDataset(stt%rho_sgl_mob_scr_pos,group,trim(prm%output(o)), &
'positive mobile screw density','1/m²')
call results_writeDataset(stt%rho_sgl_mob_scr_pos,group,trim(prm%output(ou)), &
'positive mobile screw density','1/m²', prm%systems_sl)
case('rho_b_sc_pos')
if(prm%sum_N_sl>0) call results_writeDataset(stt%rho_sgl_imm_scr_pos,group,trim(prm%output(o)), &
'positive immobile screw density','1/m²')
call results_writeDataset(stt%rho_sgl_imm_scr_pos,group,trim(prm%output(ou)), &
'positive immobile screw density','1/m²', prm%systems_sl)
case('rho_u_sc_neg')
if(prm%sum_N_sl>0) call results_writeDataset(stt%rho_sgl_mob_scr_neg,group,trim(prm%output(o)), &
'negative mobile screw density','1/m²')
call results_writeDataset(stt%rho_sgl_mob_scr_neg,group,trim(prm%output(ou)), &
'negative mobile screw density','1/m²', prm%systems_sl)
case('rho_b_sc_neg')
if(prm%sum_N_sl>0) call results_writeDataset(stt%rho_sgl_imm_scr_neg,group,trim(prm%output(o)), &
'negative immobile screw density','1/m²')
call results_writeDataset(stt%rho_sgl_imm_scr_neg,group,trim(prm%output(ou)), &
'negative immobile screw density','1/m²', prm%systems_sl)
case('rho_d_sc')
if(prm%sum_N_sl>0) call results_writeDataset(stt%rho_dip_scr,group,trim(prm%output(o)), &
'screw dipole density','1/m²')
call results_writeDataset(stt%rho_dip_scr,group,trim(prm%output(ou)), &
'screw dipole density','1/m²', prm%systems_sl)
case('rho_f')
if(prm%sum_N_sl>0) call results_writeDataset(stt%rho_forest,group,trim(prm%output(o)), &
'forest density','1/m²')
call results_writeDataset(stt%rho_forest,group,trim(prm%output(ou)), &
'forest density','1/m²', prm%systems_sl)
case('v_ed_pos')
if(prm%sum_N_sl>0) call results_writeDataset(stt%v_edg_pos,group,trim(prm%output(o)), &
'positive edge velocity','m/s')
call results_writeDataset(stt%v_edg_pos,group,trim(prm%output(ou)), &
'positive edge velocity','m/s', prm%systems_sl)
case('v_ed_neg')
if(prm%sum_N_sl>0) call results_writeDataset(stt%v_edg_neg,group,trim(prm%output(o)), &
'negative edge velocity','m/s')
call results_writeDataset(stt%v_edg_neg,group,trim(prm%output(ou)), &
'negative edge velocity','m/s', prm%systems_sl)
case('v_sc_pos')
if(prm%sum_N_sl>0) call results_writeDataset(stt%v_scr_pos,group,trim(prm%output(o)), &
'positive srew velocity','m/s')
call results_writeDataset(stt%v_scr_pos,group,trim(prm%output(ou)), &
'positive srew velocity','m/s', prm%systems_sl)
case('v_sc_neg')
if(prm%sum_N_sl>0) call results_writeDataset(stt%v_scr_neg,group,trim(prm%output(o)), &
'negative screw velocity','m/s')
call results_writeDataset(stt%v_scr_neg,group,trim(prm%output(ou)), &
'negative screw velocity','m/s', prm%systems_sl)
case('gamma')
if(prm%sum_N_sl>0) call results_writeDataset(stt%gamma,group,trim(prm%output(o)), &
'plastic shear','1')
call results_writeDataset(stt%gamma,group,trim(prm%output(ou)), &
'plastic shear','1', prm%systems_sl)
case('tau_pass')
if(prm%sum_N_sl>0) call results_writeDataset(dst%tau_pass,group,trim(prm%output(o)), &
'passing stress for slip','Pa')
call results_writeDataset(dst%tau_pass,group,trim(prm%output(ou)), &
'passing stress for slip','Pa', prm%systems_sl)
end select
enddo outputsLoop
enddo
end associate
end subroutine plastic_nonlocal_results

43
src/phase_mechanical_plastic_phenopowerlaw.f90
View File

@ -42,6 +42,9 @@ submodule(phase:plastic) phenopowerlaw
nonSchmidActive = .false.
character(len=pStringLen), allocatable, dimension(:) :: &
output
character(len=:), allocatable, dimension(:) :: &
systems_sl, &
systems_tw
end type tParameters
type :: tPhenopowerlawState
@ -115,6 +118,7 @@ module function plastic_phenopowerlaw_init() result(myPlasticity)
N_sl = pl%get_as1dInt('N_sl',defaultVal=emptyIntArray)
prm%sum_N_sl = sum(abs(N_sl))
slipActive: if (prm%sum_N_sl > 0) then
prm%systems_sl = lattice_labels_slip(N_sl,phase_lattice(ph))
prm%P_sl = lattice_SchmidMatrix_slip(N_sl,phase_lattice(ph),phase_cOverA(ph))
if (phase_lattice(ph) == 'cI') then
@ -126,8 +130,7 @@ module function plastic_phenopowerlaw_init() result(myPlasticity)
prm%P_nS_pos = prm%P_sl
prm%P_nS_neg = prm%P_sl
endif
prm%h_sl_sl = lattice_interaction_SlipBySlip(N_sl,pl%get_as1dFloat('h_sl-sl'), &
phase_lattice(ph))
prm%h_sl_sl = lattice_interaction_SlipBySlip(N_sl,pl%get_as1dFloat('h_sl-sl'),phase_lattice(ph))
xi_0_sl = pl%get_as1dFloat('xi_0_sl', requiredSize=size(N_sl))
prm%xi_inf_sl = pl%get_as1dFloat('xi_inf_sl', requiredSize=size(N_sl))
@ -162,11 +165,10 @@ module function plastic_phenopowerlaw_init() result(myPlasticity)
N_tw = pl%get_as1dInt('N_tw', defaultVal=emptyIntArray)
prm%sum_N_tw = sum(abs(N_tw))
twinActive: if (prm%sum_N_tw > 0) then
prm%systems_tw = lattice_labels_twin(N_tw,phase_lattice(ph))
prm%P_tw = lattice_SchmidMatrix_twin(N_tw,phase_lattice(ph),phase_cOverA(ph))
prm%h_tw_tw = lattice_interaction_TwinByTwin(N_tw,pl%get_as1dFloat('h_tw-tw'), &
phase_lattice(ph))
prm%gamma_char = lattice_characteristicShear_twin(N_tw,phase_lattice(ph),&
phase_cOverA(ph))
prm%h_tw_tw = lattice_interaction_TwinByTwin(N_tw,pl%get_as1dFloat('h_tw-tw'),phase_lattice(ph))
prm%gamma_char = lattice_characteristicShear_twin(N_tw,phase_lattice(ph),phase_cOverA(ph))
xi_0_tw = pl%get_as1dFloat('xi_0_tw',requiredSize=size(N_tw))
@ -370,28 +372,33 @@ module subroutine plastic_phenopowerlaw_results(ph,group)
integer, intent(in) :: ph
character(len=*), intent(in) :: group
integer :: o
integer :: ou
associate(prm => param(ph), stt => state(ph))
outputsLoop: do o = 1,size(prm%output)
select case(trim(prm%output(o)))
do ou = 1,size(prm%output)
select case(trim(prm%output(ou)))
case('xi_sl')
if(prm%sum_N_sl>0) call results_writeDataset(stt%xi_sl,group,trim(prm%output(o)), &
'resistance against plastic slip','Pa')
call results_writeDataset(stt%xi_sl,group,trim(prm%output(ou)), &
'resistance against plastic slip','Pa',prm%systems_sl)
case('gamma_sl')
if(prm%sum_N_sl>0) call results_writeDataset(stt%gamma_sl,group,trim(prm%output(o)), &
'plastic shear','1')
call results_writeDataset(stt%gamma_sl,group,trim(prm%output(ou)), &
'plastic shear','1',prm%systems_sl)
case('xi_tw')
if(prm%sum_N_tw>0) call results_writeDataset(stt%xi_tw,group,trim(prm%output(o)), &
'resistance against twinning','Pa')
call results_writeDataset(stt%xi_tw,group,trim(prm%output(ou)), &
'resistance against twinning','Pa',prm%systems_tw)
case('gamma_tw')
if(prm%sum_N_tw>0) call results_writeDataset(stt%gamma_tw,group,trim(prm%output(o)), &
'twinning shear','1')
call results_writeDataset(stt%gamma_tw,group,trim(prm%output(ou)), &
'twinning shear','1',prm%systems_tw)
end select
enddo outputsLoop
enddo
end associate
end subroutine plastic_phenopowerlaw_results

2
src/prec.f90
View File

@ -13,7 +13,7 @@ module prec
implicit none
public
! https://software.intel.com/en-us/blogs/2017/03/27/doctor-fortran-in-it-takes-all-kinds
! https://stevelionel.com/drfortran/2017/03/27/doctor-fortran-in-it-takes-all-kinds
integer, parameter :: pReal = IEEE_selected_real_kind(15,307) !< number with 15 significant digits, up to 1e+-307 (typically 64 bit)
integer, parameter :: pI32 = selected_int_kind(9) !< number with at least up to +-1e9 (typically 32 bit)
integer, parameter :: pI64 = selected_int_kind(18) !< number with at least up to +-1e18 (typically 64 bit)

52
src/results.f90
View File

@ -34,10 +34,11 @@ module results
end interface results_writeDataset
interface results_addAttribute
module procedure results_addAttribute_real
module procedure results_addAttribute_int
module procedure results_addAttribute_str
module procedure results_addAttribute_int
module procedure results_addAttribute_real
module procedure results_addAttribute_str_array
module procedure results_addAttribute_int_array
module procedure results_addAttribute_real_array
end interface results_addAttribute
@ -66,7 +67,6 @@ subroutine results_init(restart)
character(len=pPathLen) :: commandLine
integer :: hdferr
integer(HID_T) :: group_id
character(len=:), allocatable :: date
@ -210,7 +210,7 @@ subroutine results_setLink(path,link)
end subroutine results_setLink
!--------------------------------------------------------------------------------------------------
!> @brief adds a string attribute to an object in the results file
!> @brief Add a string attribute to an object in the results file.
!--------------------------------------------------------------------------------------------------
subroutine results_addAttribute_str(attrLabel,attrValue,path)
@ -228,7 +228,7 @@ end subroutine results_addAttribute_str
!--------------------------------------------------------------------------------------------------
!> @brief adds an integer attribute an object in the results file
!> @brief Add an integer attribute an object in the results file.
!--------------------------------------------------------------------------------------------------
subroutine results_addAttribute_int(attrLabel,attrValue,path)
@ -247,7 +247,7 @@ end subroutine results_addAttribute_int
!--------------------------------------------------------------------------------------------------
!> @brief adds a real attribute an object in the results file
!> @brief Add a real attribute an object in the results file.
!--------------------------------------------------------------------------------------------------
subroutine results_addAttribute_real(attrLabel,attrValue,path)
@ -266,7 +266,26 @@ end subroutine results_addAttribute_real
!--------------------------------------------------------------------------------------------------
!> @brief adds an integer array attribute an object in the results file
!> @brief Add a string array attribute an object in the results file.
!--------------------------------------------------------------------------------------------------
subroutine results_addAttribute_str_array(attrLabel,attrValue,path)
character(len=*), intent(in) :: attrLabel
character(len=*), intent(in), dimension(:) :: attrValue
character(len=*), intent(in), optional :: path
if (present(path)) then
call HDF5_addAttribute(resultsFile,attrLabel, attrValue, path)
else
call HDF5_addAttribute(resultsFile,attrLabel, attrValue)
endif
end subroutine results_addAttribute_str_array
!--------------------------------------------------------------------------------------------------
!> @brief Add an integer array attribute an object in the results file.
!--------------------------------------------------------------------------------------------------
subroutine results_addAttribute_int_array(attrLabel,attrValue,path)
@ -285,7 +304,7 @@ end subroutine results_addAttribute_int_array
!--------------------------------------------------------------------------------------------------
!> @brief adds a real array attribute an object in the results file
!> @brief Add a real array attribute an object in the results file.
!--------------------------------------------------------------------------------------------------
subroutine results_addAttribute_real_array(attrLabel,attrValue,path)
@ -336,7 +355,6 @@ subroutine results_writeDataset_str(dataset,group,label,description)
end subroutine results_writeDataset_str
!--------------------------------------------------------------------------------------------------
!> @brief Store real scalar dataset with associated metadata.
!--------------------------------------------------------------------------------------------------
@ -360,18 +378,24 @@ end subroutine results_writeScalarDataset_real
!--------------------------------------------------------------------------------------------------
!> @brief Store real vector dataset with associated metadata.
!--------------------------------------------------------------------------------------------------
subroutine results_writeVectorDataset_real(dataset,group,label,description,SIunit)
subroutine results_writeVectorDataset_real(dataset,group,label,description,SIunit,systems)
character(len=*), intent(in) :: label,group,description
character(len=*), intent(in), optional :: SIunit
character(len=*), intent(in), dimension(:), optional :: systems
real(pReal), intent(in), dimension(:,:) :: dataset
integer(HID_T) :: groupHandle
if (present(systems)) then
if (size(systems)*size(dataset,2) == 0 ) return !ToDo: maybe also implement for other results_write (not sure about scalar)
endif
groupHandle = results_openGroup(group)
call HDF5_write(dataset,groupHandle,label)
call executionStamp(group//'/'//label,description,SIunit)
if (present(systems)) call HDF5_addAttribute(resultsFile,'systems',systems,group//'/'//label)
call HDF5_closeGroup(groupHandle)
end subroutine results_writeVectorDataset_real
@ -420,18 +444,24 @@ end subroutine results_writeTensorDataset_real
!--------------------------------------------------------------------------------------------------
!> @brief Store integer vector dataset with associated metadata.
!--------------------------------------------------------------------------------------------------
subroutine results_writeVectorDataset_int(dataset,group,label,description,SIunit)
subroutine results_writeVectorDataset_int(dataset,group,label,description,SIunit,systems)
character(len=*), intent(in) :: label,group,description
character(len=*), intent(in), optional :: SIunit
character(len=*), intent(in), dimension(:), optional :: systems
integer, intent(in), dimension(:,:) :: dataset
integer(HID_T) :: groupHandle
if (present(systems)) then
if (size(systems)*size(dataset,2) == 0 ) return !ToDo: maybe also implement for other results_write (not sure about scalar)
endif
groupHandle = results_openGroup(group)
call HDF5_write(dataset,groupHandle,label)
call executionStamp(group//'/'//label,description,SIunit)
if (present(systems)) call HDF5_addAttribute(resultsFile,'systems',systems,group//'/'//label)
call HDF5_closeGroup(groupHandle)
end subroutine results_writeVectorDataset_int