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WIP: different norm types

This commit is contained in:
Martin Diehl 2019-09-14 10:53:33 -07:00
parent e4e9c5f558
commit 8251725bce
1 changed files with 17 additions and 13 deletions
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30
python/damask/dadf5.py
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@ -85,7 +85,7 @@ class DADF5():
def __visible_add(self,output,t,p): def __visible_add(self,output,t,p):
"""Adds from visible.""" """Adds to visible."""
# allow True/False and string arguments # allow True/False and string arguments
if output is True: if output is True:
output = ['*'] output = ['*']
@ -529,18 +529,22 @@ class DADF5():
def add_strain_tensor(self,t,ord,defgrad='F'): #ToDo: Use t and ord def add_strain_tensor(self,t,ord,defgrad='F'): #ToDo: Use t and ord
"""Adds the a strain tensor.""" """
Adds the a strain tensor.
Albrecht Bertram: Elasticity and Plasticity of Large Deformations An Introduction (3rd Edition, 2012), p. 102.
"""
def strain_tensor(defgrad,t,ord): def strain_tensor(defgrad,t,ord):
# def operator(stretch,strain,eigenvalues):
#"""Albrecht Bertram: Elasticity and Plasticity of Large Deformations An Introduction (3rd Edition, 2012), p. 102""" operator = {
#return { 'V#ln': lambda V: np.log(V),
# 'V#ln': np.log(eigenvalues) , 'U#ln': lambda U: np.log(U),
# 'U#ln': np.log(eigenvalues) , 'V#Biot': lambda V: np.broadcast_to(np.ones(3),[V.shape[0],3]) - 1.0/V,
# 'V#Biot': ( np.ones(3,'d') - 1.0/eigenvalues ) , 'U#Biot': lambda U: U - np.broadcast_to(np.ones(3),[U.shape[0],3]),
# 'U#Biot': ( eigenvalues - np.ones(3,'d') ) , 'V#Green':lambda V: np.broadcast_to(np.ones(3),[V.shape[0],3]) - 1.0/V**2,
# 'V#Green': ( np.ones(3,'d') - 1.0/eigenvalues/eigenvalues) *0.5, 'U#Biot': lambda U: U**2 - np.broadcast_to(np.ones(3),[U.shape[0],3]),
# 'U#Green': ( eigenvalues*eigenvalues - np.ones(3,'d')) *0.5, }
# }[stretch+'#'+strain]
(U,S,Vh) = np.linalg.svd(defgrad['data']) # singular value decomposition (U,S,Vh) = np.linalg.svd(defgrad['data']) # singular value decomposition
R_inv = np.einsum('ikj',np.matmul(U,Vh)) # inverse rotation of polar decomposition R_inv = np.einsum('ikj',np.matmul(U,Vh)) # inverse rotation of polar decomposition
U = np.matmul(R_inv,defgrad['data']) # F = RU U = np.matmul(R_inv,defgrad['data']) # F = RU
@ -550,7 +554,7 @@ class DADF5():
D[neg[0],neg[1]] = D[neg[0],neg[1]]* -1 # ... flip value ... D[neg[0],neg[1]] = D[neg[0],neg[1]]* -1 # ... flip value ...
V[neg[0],:,neg[1]] = V[neg[0],:,neg[1]]* -1 # ... and vector V[neg[0],:,neg[1]] = V[neg[0],:,neg[1]]* -1 # ... and vector
d = np.log(D) d = operator['V#ln'](D)
a = np.matmul(V,np.einsum('ij,ikj->ijk',d,V)) a = np.matmul(V,np.einsum('ij,ikj->ijk',d,V))
return { return {