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

use existing functionality

This commit is contained in:
Martin Diehl 2019-09-13 06:38:22 -07:00
parent cd6a4d1cfd
commit 0497b58629
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
processing/post/addStrainTensors.py
View File

@ -149,7 +149,7 @@ for name in filenames:
for i in [0,1,2]: for i in [0,1,2]:
if np.dot(V[:,i],V[:,(i+1)%3]) != 0.0: # check each vector for orthogonality if np.dot(V[:,i],V[:,(i+1)%3]) != 0.0: # check each vector for orthogonality
V[:,(i+1)%3] = np.cross(V[:,(i+2)%3],V[:,i]) # correct next vector V[:,(i+1)%3] = np.cross(V[:,(i+2)%3],V[:,i]) # correct next vector
V[:,(i+1)%3] /= np.sqrt(np.dot(V[:,(i+1)%3],V[:,(i+1)%3])) # and renormalize (hyperphobic?) V[:,(i+1)%3] /= np.linalg.norm(V[:,(i+1)%3]) # and renormalize (hyperphobic?)
for theStrain in strains: for theStrain in strains:
d = operator(theStretch,theStrain,D) # operate on eigenvalues of U or V d = operator(theStretch,theStrain,D) # operate on eigenvalues of U or V
eps = np.dot(V,np.dot(np.diag(d),V.T)).reshape(9) # build tensor back from eigenvalue/vector basis eps = np.dot(V,np.dot(np.diag(d),V.T)).reshape(9) # build tensor back from eigenvalue/vector basis