reworked neares neigbor search subroutine, now also works for voronoi tesselation (general nn search in periodic cell)
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@ -137,7 +137,7 @@ python module core ! in
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subroutine logstrain_spat(res,defgrad,logstrain_field) ! in :math:math.f90
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! input variables
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integer, dimension(3), intent(in) :: res
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integer, dimension(3), intent(in) :: res
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real*8, dimension(res[0],res[1],res[2],3,3), intent(in), depend(res[0],res[1],res[2]) :: defgrad
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! output variables
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real*8, dimension(res[0],res[1],res[2],3,3), intent(out), depend(res[0],res[1],res[2]) :: logstrain_field
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@ -154,21 +154,22 @@ python module core ! in
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subroutine math_equivStrain33_field(res,tensor,vm) ! in :math:math.f90
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! input variables
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integer, dimension(3), intent(in) :: res
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real*8, dimension(res[0],res[1],res[2],3,3),intent(in),depend(res[0],res[1],res[2]) :: tensor
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integer, dimension(3), intent(in) :: res
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real*8, dimension(res[0],res[1],res[2],3,3), intent(in),depend(res[0],res[1],res[2]) :: tensor
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! output variables
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real*8, dimension(res[0],res[1],res[2]),intent(out),depend(res[0],res[1],res[2]) :: vm
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end subroutine math_equivStrain33_field
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subroutine math_nearestNeighborSearch(res_new,res_old,defgrad_av,geomdim,deformed_set,result_indices) ! in :math:math.f90
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! input variables
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integer, dimension(3), intent(in) :: res_new
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integer, dimension(3), intent(in) :: res_old
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real, dimension(3,3), intent(in) :: defgrad_av
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real, dimension(3), intent(in) :: geomdim
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real, dimension(res_old[0],res_old[1],res_old[2],3), intent(in), depend(res_old[0],res_old[1],res_old[2]) :: deformed_set
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! output variables
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integer, dimension(res_new[0]*res_new[1]*res_new[2]), intent(out), depend(res_new[0],res_new[1],res_new[2]):: result_indices
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subroutine math_nearestNeighborSearch(res,defgradAv,geomdim,,domainPoints,querySet,domainSet,indices) ! in :math:math.f90
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! input variables
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integer, dimension(3), intent(in) :: res
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integer, intent(in) :: domainPoints
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real*8, dimension(3), intent(in) :: geomdim
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real*8, dimension(3,3), intent(in) :: defgradAv
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real*8, dimension(res[0],res[1],res[2],3), intent(in), depend(res[0],res[1],res[2]) :: querySet
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real*8, dimension(domainPoints,3), intent(in), depend(domainPoints) :: domainSet
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! output variable
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integer, dimension(res[0]*res[1]*res[2]), intent(out), depend(res[0],res[1],res[2]) :: indices
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end subroutine math_nearestNeighborSearch
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end module math
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@ -1,4 +1,4 @@
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! Copyright 2011 Max-Planck-Institut für Eisenforschung GmbH
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! Copyright 2011 Max-Planck-Institut für Eisenforschung GmbH
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!
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! This file is part of DAMASK,
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! the Düsseldorf Advanced MAterial Simulation Kit.
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@ -3818,62 +3818,61 @@ subroutine calculate_cauchy(res,defgrad,p_stress,c_stress)
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end subroutine calculate_cauchy
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!+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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subroutine math_nearestNeighborSearch(res_old, res_new, defgrad_av, geomdim, &
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deformed_set, result_indices)
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subroutine math_nearestNeighborSearch(res, defgradAv, geomdim, domainPoints, querySet, domainSet, indices)
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!+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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!Obtain the nearest neighbour
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!
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use kdtree2_module
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implicit none
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! input variables
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integer(pInt), dimension(3), intent(in) :: res_new, res_old
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integer(pInt), dimension(3), intent(in) :: res
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integer(pInt), intent(in) :: domainPoints
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real(pReal), dimension(3), intent(in) :: geomdim
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real(pReal), dimension(3,3), intent(in) :: defgrad_av
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real(pReal), dimension( res_old(1), res_old(2),res_old(3),3), intent(in) :: deformed_set
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! other variables
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integer(pInt), dimension(res_new(1)*res_new(2)*res_new(3)), intent(out) :: result_indices
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! other variables
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real(pReal), dimension(:,:), allocatable :: deformed_set_large
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real(pReal), dimension(3,3), intent(in) :: defgradAv
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real(pReal), dimension(res(1),res(2),res(3),3), intent(in) :: querySet
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real(pReal), dimension(domainPoints,3), intent(in) :: domainSet
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! output variable
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integer(pInt), dimension(res(1)*res(2)*res(3)), intent(out) :: indices
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! other variables
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real(pReal), dimension(:,:), allocatable :: querySetLarge
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integer(pInt) :: i,j,k, l,m,n, ielem_large, spatial_dim
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real(pReal), dimension(3) :: shift, query_point
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real(pReal), dimension(3) :: shift
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type(kdtree2), pointer :: tree
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type(kdtree2_result), dimension(1) :: Results
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shift = math_mul33x3(defgrad_av,geomdim)
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shift = math_mul33x3(defgradAv,geomdim)
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ielem_large = 0_pInt
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if(res_old(3)==1_pInt) then
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if(res(3) == 1_pInt) then
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spatial_dim = 2_pInt
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allocate(deformed_set_large(2,(res_new(1)*res_new(2))*9_pInt))
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do j=1_pInt, res_old(2); do i=1_pInt, res_old(1)
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allocate(querySetLarge(2,(res(1)*res(2))*9_pInt))
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do j=1_pInt, res(2); do i=1_pInt, res(1)
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do l = -1, 1; do m = -1, 1
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ielem_large = ielem_large + 1_pInt
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deformed_set_large(1:2,ielem_large) = deformed_set(i,j,1,1:2) + real([l,m],pReal)* shift(1:2)
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querySetLarge(1:2,ielem_large) = querySet(i,j,1,1:2) + real([l,m],pReal)* shift(1:2)
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enddo; enddo;
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enddo; enddo
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else
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allocate(deformed_set_large(3,(res_new(1)*res_new(2)*res_new(3))*27))
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allocate(querySetLarge(3,(res(1)*res(2)*res(3))*27))
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spatial_dim = 3_pInt
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do k=1_pInt,res_old(3); do j=1_pInt, res_old(2); do i=1_pInt, res_old(1)
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do k=1_pInt,res(3); do j=1_pInt, res(2); do i=1_pInt, res(1)
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do l = -1, 1; do m = -1, 1; do n = -1, 1
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ielem_large = ielem_large + 1_pInt
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deformed_set_large(1:3,ielem_large) = deformed_set(i,j,k,1:3) + real([l,m,n],pReal)* shift
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querySetLarge(1:3,ielem_large) = querySet(i,j,k,1:3) + real([l,m,n],pReal)* shift
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enddo; enddo; enddo;
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enddo; enddo; enddo
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endif
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tree => kdtree2_create(deformed_set_large,sort=.true.,rearrange=.true.)
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tree => kdtree2_create(querySetLarge,sort=.true.,rearrange=.true.)
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ielem_large = 0_pInt
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do k=1_pInt,res_new(3); do j=1_pInt, res_new(2); do i=1_pInt, res_new(1)
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do k=1_pInt,res(3); do j=1_pInt, res(2); do i=1_pInt, res(1)
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ielem_large = ielem_large + 1_pInt
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query_point = math_mul33x3(defgrad_av, &
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geomdim/real(res_new,pReal)*real([i,j,k],pReal) - geomdim/real(2_pInt*res_new,pReal))
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call kdtree2_n_nearest(tp=tree, qv=query_point(1:spatial_dim),nn=1_pInt, results = Results)
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result_indices(ielem_large) = Results(1)%idx /3_pInt**spatial_dim +1_pInt
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call kdtree2_n_nearest(tp=tree, qv=domainSet(ielem_large,1:spatial_dim),nn=1_pInt, results = Results)
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indices(ielem_large) = Results(1)%idx !/3_pInt**spatial_dim +1_pInt
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enddo; enddo; enddo
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deallocate(deformed_set_large)
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deallocate(querySetLarge)
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end subroutine math_nearestNeighborSearch
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@ -3539,14 +3539,17 @@ subroutine mesh_regrid(resNew) !use new_res=[0.0,0.0,0.0] for automati
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IO_write_jobBinaryFile
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use math, only: &
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math_nearestNeighborSearch, &
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deformed_FFT
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deformed_FFT, &
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math_mul33x3
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integer(pInt), dimension(3), optional, intent(inout) :: resNew
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integer(pInt):: maxsize, i, j, k, m, Npoints, NpointsNew
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integer(pInt):: maxsize, i, j, k, ielem, Npoints, NpointsNew
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integer(pInt), dimension(3) :: res
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integer(pInt), dimension(:), allocatable :: indices, outputSize
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real(pReal), dimension(3) :: geomdim = 0.0_pReal
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real(pReal), dimension(3,3) :: Favg
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real(pReal), dimension(:,:), allocatable :: &
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coordinatesNew
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real(pReal), dimension(:,:,:,:,:), allocatable :: &
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F, FNew, &
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Fp, FpNew, &
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@ -3559,7 +3562,7 @@ subroutine mesh_regrid(resNew) !use new_res=[0.0,0.0,0.0] for automati
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Tstar, TstarNew, &
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stateConst, stateConstNew, &
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stateHomog, stateHomogNew
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integer(pInt), dimension (:,:), allocatable :: SizeConst
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res = mesh_spectral_getResolution()
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geomdim = mesh_spectral_getDimension()
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@ -3575,8 +3578,10 @@ subroutine mesh_regrid(resNew) !use new_res=[0.0,0.0,0.0] for automati
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print*, 'new resolution', resNew
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allocate(coordinates(res(1),res(2),res(3),3))
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allocate(coordinatesNew(resNew(1)*resNew(2)*resNew(3),3))
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allocate(indices(Npoints))
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allocate(F(res(1),res(2),res(3),3,3))
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allocate(F(res(1),res(2),res(3),3,3))
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call IO_read_jobBinaryFile(777,'convergedSpectralDefgrad',trim(getSolverJobName()),size(F))
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read (777,rec=1) F
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@ -3589,10 +3594,21 @@ subroutine mesh_regrid(resNew) !use new_res=[0.0,0.0,0.0] for automati
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call deformed_fft(res,geomdim,Favg,1.0_pReal,F,coordinates)
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ielem = 0_pInt
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do k=1_pInt,resNew(3); do j=1_pInt, resNew(2); do i=1_pInt, resNew(1)
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ielem = ielem + 1_pInt
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coordinatesNew(ielem,1:3) = math_mul33x3(Favg, geomdim/real(resNew,pReal)*real([i,j,k],pReal) &
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- geomdim/real(2_pInt*resNew,pReal))
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enddo; enddo; enddo
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!----- Nearest neighbour search -----------------------
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call math_nearestNeighborSearch(res, res, Favg, geomdim, &
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coordinates, indices)
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call math_nearestNeighborSearch(res, Favg, geomdim, NpointsNew, &
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coordinates, coordinatesNew, indices)
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indices = indices /3_pInt**3_pInt +1_pInt ! adjust it for 2D case
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deallocate(F)
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deallocate(coordinates)
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deallocate(coordinatesNew)
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! ---------------------------------------------------------------------------
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allocate(F (3,3,1,1, Npoints))
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@ -3697,6 +3713,49 @@ subroutine mesh_regrid(resNew) !use new_res=[0.0,0.0,0.0] for automati
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close (777)
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deallocate(Tstar)
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deallocate(TstarNew)
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!----------------------------------------------------------------------------
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!for homog and state const
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! allocate(SizeConst (1,Npoints))
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! allocate(StateConst (1,Npoints))
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! allocate(StateConstNew (1,Npoints))
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! call IO_read_jobBinaryFile(777,'SizeConst',trim(getSolverJobName()))
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! read (777,rec=1) SizeConst
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! close(777)
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! maxsize = maxval(SizeConst)
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! call IO_read_jobBinaryFile(777,'convergedStateConst',trim(getSolverJobName()))
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! do i =1, Npoints
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! do l = 1,SizeConst(1,i)
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! read(777,rec=i) StateConst(1,1,i,l)
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! enddo
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! enddo
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! close(777)
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! do i = 1, NpointsNew
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! do l = 1,SizeConst(1,i)
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! StateConstNew(1,1,i,l) = StateConst(1,1,indices(i),l)
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! enddo
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! enddo
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! call IO_write_jobBinaryFile(777,'convergedStateConst',trim(getSolverJobName()))
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! m = 0_pInt
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! do i = 1,NpointsNew
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! do l = 1,SizeConst(1,i)
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! write(777,rec=m) StateConstNew(1,1,i,l)
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! enddo
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! enddo
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! close (777)
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!----------------------------------------------------------------------------
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! State homog
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! call IO_read_jobBinaryFile(777,'convergedStateHomog',FEmodelGeometry)
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! m = 0_pInt
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! do k = 1,Npoints;
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! do l = 1,homogenization_sizeState(j,k)
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! m = m+1_pInt
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! read(777,rec=m) stateHomog(1,k)%p(l)
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! enddo
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! enddo; enddo
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! close (777)
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end subroutine mesh_regrid
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