223031012
/
DAMASK_EICMD
mirror of https://github.com/achalhp/DAMASK_EICMD.git
1
0
Fork 0
Code Issues Projects Releases Wiki Activity

no access out of bounds anymore (but incorrect results)

This commit is contained in:
Martin Diehl 2016-06-27 23:27:30 +02:00
parent 8307a4a9ab
commit af2404f0f8
1 changed files with 17 additions and 17 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

34
processing/post/addCompatibilityMismatch.py
View File

@ -145,14 +145,14 @@ def volumeMismatch(size,F,nodes):
for k in xrange(grid[2]):
for j in xrange(grid[1]):
for i in xrange(grid[0]):
coords[0,0:3] = nodes[0:3,i, j, k ]
coords[1,0:3] = nodes[0:3,i+1,j, k ]
coords[2,0:3] = nodes[0:3,i+1,j+1,k ]
coords[3,0:3] = nodes[0:3,i, j+1,k ]
coords[4,0:3] = nodes[0:3,i, j, k+1]
coords[5,0:3] = nodes[0:3,i+1,j, k+1]
coords[6,0:3] = nodes[0:3,i+1,j+1,k+1]
coords[7,0:3] = nodes[0:3,i, j+1,k+1]
coords[0,0:3] = nodes[i, j, k ,0:3]
coords[1,0:3] = nodes[i+1,j, k ,0:3]
coords[2,0:3] = nodes[i+1,j+1,k ,0:3]
coords[3,0:3] = nodes[i, j+1,k ,0:3]
coords[4,0:3] = nodes[i, j, k+1,0:3]
coords[5,0:3] = nodes[i+1,j, k+1,0:3]
coords[6,0:3] = nodes[i+1,j+1,k+1,0:3]
coords[7,0:3] = nodes[i, j+1,k+1,0:3]
vMismatch[i,j,k] = \
abs(volTetrahedron([coords[6,0:3],coords[0,0:3],coords[7,0:3],coords[3,0:3]])) \
+ abs(volTetrahedron([coords[6,0:3],coords[0,0:3],coords[7,0:3],coords[4,0:3]])) \
@ -160,7 +160,7 @@ def volumeMismatch(size,F,nodes):
+ abs(volTetrahedron([coords[6,0:3],coords[0,0:3],coords[2,0:3],coords[1,0:3]])) \
+ abs(volTetrahedron([coords[6,0:3],coords[4,0:3],coords[1,0:3],coords[5,0:3]])) \
+ abs(volTetrahedron([coords[6,0:3],coords[4,0:3],coords[1,0:3],coords[0,0:3]]))
vMismatch[i,j,k] = vMismatch[i,j,k]/np.linalg.det(F[0:3,0:3,i,j,k])
vMismatch[i,j,k] = vMismatch[i,j,k]/np.linalg.det(F[i,j,k,0:3,0:3])
return vMismatch/volInitial
@ -195,14 +195,14 @@ def shapeMismatch(size,F,nodes,centres):
for j in xrange(grid[1]):
for i in xrange(grid[0]):
sMismatch[i,j,k] = \
+ np.linalg.norm(nodes[0:3,i, j, k] - centres[0:3,i,j,k] - np.dot(F[:,:,i,j,k], coordsInitial[0,0:3]))\
+ np.linalg.norm(nodes[0:3,i+1,j, k] - centres[0:3,i,j,k] - np.dot(F[:,:,i,j,k], coordsInitial[1,0:3]))\
+ np.linalg.norm(nodes[0:3,i+1,j+1,k ] - centres[0:3,i,j,k] - np.dot(F[:,:,i,j,k], coordsInitial[2,0:3]))\
+ np.linalg.norm(nodes[0:3,i, j+1,k ] - centres[0:3,i,j,k] - np.dot(F[:,:,i,j,k], coordsInitial[3,0:3]))\
+ np.linalg.norm(nodes[0:3,i, j, k+1] - centres[0:3,i,j,k] - np.dot(F[:,:,i,j,k], coordsInitial[4,0:3]))\
+ np.linalg.norm(nodes[0:3,i+1,j, k+1] - centres[0:3,i,j,k] - np.dot(F[:,:,i,j,k], coordsInitial[5,0:3]))\
+ np.linalg.norm(nodes[0:3,i+1,j+1,k+1] - centres[0:3,i,j,k] - np.dot(F[:,:,i,j,k], coordsInitial[6,0:3]))\
+ np.linalg.norm(nodes[0:3,i, j+1,k+1] - centres[0:3,i,j,k] - np.dot(F[:,:,i,j,k], coordsInitial[7,0:3]))
+ np.linalg.norm(nodes[i, j, k,0:3] - centres[i,j,k,0:3] - np.dot(F[i,j,k,:,:], coordsInitial[0,0:3]))\
+ np.linalg.norm(nodes[i+1,j, k,0:3] - centres[i,j,k,0:3] - np.dot(F[i,j,k,:,:], coordsInitial[1,0:3]))\
+ np.linalg.norm(nodes[i+1,j+1,k ,0:3] - centres[i,j,k,0:3] - np.dot(F[i,j,k,:,:], coordsInitial[2,0:3]))\
+ np.linalg.norm(nodes[i, j+1,k ,0:3] - centres[i,j,k,0:3] - np.dot(F[i,j,k,:,:], coordsInitial[3,0:3]))\
+ np.linalg.norm(nodes[i, j, k+1,0:3] - centres[i,j,k,0:3] - np.dot(F[i,j,k,:,:], coordsInitial[4,0:3]))\
+ np.linalg.norm(nodes[i+1,j, k+1,0:3] - centres[i,j,k,0:3] - np.dot(F[i,j,k,:,:], coordsInitial[5,0:3]))\
+ np.linalg.norm(nodes[i+1,j+1,k+1,0:3] - centres[i,j,k,0:3] - np.dot(F[i,j,k,:,:], coordsInitial[6,0:3]))\
+ np.linalg.norm(nodes[i, j+1,k+1,0:3] - centres[i,j,k,0:3] - np.dot(F[i,j,k,:,:], coordsInitial[7,0:3]))
return sMismatch