223031012
/
DAMASK_EICMD
mirror of https://github.com/achalhp/DAMASK_EICMD.git
1
0
Fork 0
Code Issues Projects Releases Wiki Activity
15,532 Commits 5 Branches 20 Tags 292 MiB
Fortran 58%
Python 28.5%
Roff 12.1%
CMake 0.9%
Jupyter Notebook 0.3%
Go to file
Achal H P 70a7de9f98
Update README.md 		2024-02-19 10:13:03 +05:30
.github/workflows Intel (classic) has issues on GitHub actions 2022-10-08 20:07:56 +02:00
PRIVATE@8c0a24006f add read-in init phi, correct write-out damage result 2022-09-21 08:50:00 +02:00
cmake avoid trapping of underflows 2022-09-14 00:27:49 +02:00
env python(2) is not available on newer systems 2021-09-01 08:07:55 +02:00
examples following DAMASK paper 2022-06-13 14:08:45 +02:00
img nicer formatting (official plain text download) 2022-01-25 08:33:53 +01:00
install/MarcMentat standard format 2022-09-29 20:52:31 +02:00
processing grain growth not maintained and has issues 2022-01-12 07:48:09 +01:00
python fix grid add primitive bug 2022-08-29 11:44:50 +00:00
src 27-Oct-23-1 2023-10-27 18:37:16 +05:30
.gitattributes matches other short names (src, img, ..) 2021-07-10 13:41:19 +02:00
.gitignore only ignore temporary files in the respective folders 2020-03-16 22:50:09 +01:00
.gitlab-ci.yml new Marc version 2022-05-09 14:05:30 +02:00
.gitmodules master was rename to development 2021-08-29 20:46:46 +02:00
CMakeLists.txt PETSc 3.18.0 compatibility 2022-10-02 12:48:54 +02:00
COPYING using AGPL instead of GPL 2022-01-15 00:20:29 +01:00
DAMASK_prerequisites.sh also test for new Intel compilers 2021-09-06 09:02:14 +02:00
LICENSE original layout from official page 2022-06-28 20:00:39 +02:00
Makefile modern CMake shortcut 2022-01-09 20:48:58 +01:00
README.md Update README.md 2024-02-19 10:13:03 +05:30
VERSION v3.0.0-alpha7 2022-10-10 10:48:36 +02:00

README.md

DAMASK - The Düsseldorf Advanced Material Simulation Kit

Visit damask.mpie.de for installation and usage instructions

DAMASK_EICMD

This is a DAMASK fork with "Discrete deformation twinning model" implementation based on work done by Dr. Satyapriya Gupta and Dr. Philip Eisenlohr at MSU.)

The Discrete deformation twinning model

We introduce stochasticity for the nucleation and growth events of twinning through random sampling, similar to Monte Carlo Methods. The ease or difficulty of a twinning event is controlled by adjusting the frequency of sampling. At each voxel, the state of twinning is treated as a discrete quantity, unlike the approach based on diffused volume fraction. The kinetics of twinning occur in the form of a “jump,” rather than following a rate equation as in the “pseudo-slip” approach. The jumped state is evaluated using the correspondence matrix from Niewczas, Acta Materialia, 2010.

Contact Information

Max-Planck-Institut für Eisenforschung GmbH
Max-Planck-Str. 1
40237 Düsseldorf
Germany

damask@mpie.de
https://damask.mpie.de
https://git.damask.mpie.de

( EICME Team, IIT Dharwad https://sites.google.com/view/eicmd/home )