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self-explanatory names

This commit is contained in:
Martin Diehl 2020-11-17 22:56:22 +01:00
parent 5ebde607a2
commit 6bedd84759
10 changed files with 127 additions and 124 deletions
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2
python/damask/_geom.py
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@ -753,7 +753,7 @@ class Geom:
if fill is None: fill = np.nanmax(self.material) + 1 if fill is None: fill = np.nanmax(self.material) + 1
dtype = float if np.isnan(fill) or int(fill) != fill or self.material.dtype==np.float else int dtype = float if np.isnan(fill) or int(fill) != fill or self.material.dtype==np.float else int
Eulers = R.as_Eulers(degrees=True) Eulers = R.as_Euler_angles(degrees=True)
material_in = self.material.copy() material_in = self.material.copy()
# These rotations are always applied in the reference coordinate system, i.e. (z,x,z) not (z,x',z'') # These rotations are always applied in the reference coordinate system, i.e. (z,x,z) not (z,x',z'')

22
python/damask/_orientation.py
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@ -86,8 +86,8 @@ class Orientation(Rotation):
>>> damask.Orientation.from_random(shape=(3,5),lattice='tetragonal').reduced >>> damask.Orientation.from_random(shape=(3,5),lattice='tetragonal').reduced
Disorientation between two specific orientations of hexagonal symmetry: Disorientation between two specific orientations of hexagonal symmetry:
>>> a = damask.Orientation.from_Eulers(phi=[123,32,21],degrees=True,lattice='hexagonal') >>> a = damask.Orientation.from_Euler_angles(phi=[123,32,21],degrees=True,lattice='hexagonal')
>>> b = damask.Orientation.from_Eulers(phi=[104,11,87],degrees=True,lattice='hexagonal') >>> b = damask.Orientation.from_Euler_angles(phi=[104,11,87],degrees=True,lattice='hexagonal')
>>> a.disorientation(b) >>> a.disorientation(b)
Inverse pole figure color of the e_3 direction for a crystal in "Cube" orientation with cubic symmetry: Inverse pole figure color of the e_3 direction for a crystal in "Cube" orientation with cubic symmetry:
@ -95,7 +95,7 @@ class Orientation(Rotation):
>>> o.IPF_color(o.to_SST(np.array([0,0,1]))) >>> o.IPF_color(o.to_SST(np.array([0,0,1])))
Schmid matrix (in lab frame) of slip systems of a face-centered cubic crystal in "Goss" orientation: Schmid matrix (in lab frame) of slip systems of a face-centered cubic crystal in "Goss" orientation:
>>> damask.Orientation.from_Eulers(phi=[0,45,0],degrees=True,lattice='cF').Schmid('slip') >>> damask.Orientation.from_Euler_angles(phi=[0,45,0],degrees=True,lattice='cF').Schmid('slip')
""" """
@ -291,9 +291,9 @@ class Orientation(Rotation):
@classmethod @classmethod
@extended_docstring(Rotation.from_Eulers) @extended_docstring(Rotation.from_Euler_angles)
def from_Eulers(cls,**kwargs): def from_Euler_angles(cls,**kwargs):
return cls(rotation=Rotation.from_Eulers(**kwargs),**kwargs) return cls(rotation=Rotation.from_Euler_angles(**kwargs),**kwargs)
@classmethod @classmethod
@ -315,9 +315,9 @@ class Orientation(Rotation):
@classmethod @classmethod
@extended_docstring(Rotation.from_Rodrigues) @extended_docstring(Rotation.from_Rodrigues_vector)
def from_Rodrigues(cls,**kwargs): def from_Rodrigues_vector(cls,**kwargs):
return cls(rotation=Rotation.from_Rodrigues(**kwargs),**kwargs) return cls(rotation=Rotation.from_Rodrigues_vector(**kwargs),**kwargs)
@classmethod @classmethod
@ -496,7 +496,7 @@ class Orientation(Rotation):
if self.family is None: if self.family is None:
raise ValueError('Missing crystal symmetry') raise ValueError('Missing crystal symmetry')
rho_abs = np.abs(self.as_Rodrigues(vector=True)) rho_abs = np.abs(self.as_Rodrigues_vector(vector=True))
with np.errstate(invalid='ignore'): with np.errstate(invalid='ignore'):
# using '*'/prod for 'and' # using '*'/prod for 'and'
@ -539,7 +539,7 @@ class Orientation(Rotation):
if self.family is None: if self.family is None:
raise ValueError('Missing crystal symmetry') raise ValueError('Missing crystal symmetry')
rho = self.as_Rodrigues(vector=True) rho = self.as_Rodrigues_vector(vector=True)
with np.errstate(invalid='ignore'): with np.errstate(invalid='ignore'):
if self.family == 'cubic': if self.family == 'cubic':

32
python/damask/_result.py
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@ -597,19 +597,19 @@ class Result:
@staticmethod @staticmethod
def _add_Cauchy(P,F): def _add_stress_Cauchy(P,F):
return { return {
'data': mechanics.Cauchy(P['data'],F['data']), 'data': mechanics.stress_Cauchy(P['data'],F['data']),
'label': 'sigma', 'label': 'sigma',
'meta': { 'meta': {
'Unit': P['meta']['Unit'], 'Unit': P['meta']['Unit'],
'Description': "Cauchy stress calculated " 'Description': "Cauchy stress calculated "
f"from {P['label']} ({P['meta']['Description']})" f"from {P['label']} ({P['meta']['Description']})"
f" and {F['label']} ({F['meta']['Description']})", f" and {F['label']} ({F['meta']['Description']})",
'Creator': 'add_Cauchy' 'Creator': 'add_stress_Cauchy'
} }
} }
def add_Cauchy(self,P='P',F='F'): def add_stress_Cauchy(self,P='P',F='F'):
""" """
Add Cauchy stress calculated from first Piola-Kirchhoff stress and deformation gradient. Add Cauchy stress calculated from first Piola-Kirchhoff stress and deformation gradient.
@ -621,7 +621,7 @@ class Result:
Label of the dataset containing the deformation gradient. Defaults to ‘F’. Label of the dataset containing the deformation gradient. Defaults to ‘F’.
""" """
self._add_generic_pointwise(self._add_Cauchy,{'P':P,'F':F}) self._add_generic_pointwise(self._add_stress_Cauchy,{'P':P,'F':F})
@staticmethod @staticmethod
@ -798,7 +798,7 @@ class Result:
@staticmethod @staticmethod
def _add_Mises(T_sym,kind): def _add_equivalent_Mises(T_sym,kind):
k = kind k = kind
if k is None: if k is None:
if T_sym['meta']['Unit'] == '1': if T_sym['meta']['Unit'] == '1':
@ -809,7 +809,8 @@ class Result:
raise ValueError('invalid von Mises kind {kind}') raise ValueError('invalid von Mises kind {kind}')
return { return {
'data': (mechanics.Mises_strain if k=='strain' else mechanics.Mises_stress)(T_sym['data']), 'data': (mechanics.equivalent_strain_Mises if k=='strain' else \
mechanics.equivalent_stress_Mises)(T_sym['data']),
'label': f"{T_sym['label']}_vM", 'label': f"{T_sym['label']}_vM",
'meta': { 'meta': {
'Unit': T_sym['meta']['Unit'], 'Unit': T_sym['meta']['Unit'],
@ -817,7 +818,7 @@ class Result:
'Creator': 'add_Mises' 'Creator': 'add_Mises'
} }
} }
def add_Mises(self,T_sym,kind=None): def add_equivalent_Mises(self,T_sym,kind=None):
""" """
Add the equivalent Mises stress or strain of a symmetric tensor. Add the equivalent Mises stress or strain of a symmetric tensor.
@ -830,7 +831,7 @@ class Result:
it is selected based on the unit of the dataset ('1' -> strain, 'Pa' -> stress'). it is selected based on the unit of the dataset ('1' -> strain, 'Pa' -> stress').
""" """
self._add_generic_pointwise(self._add_Mises,{'T_sym':T_sym},{'kind':kind}) self._add_generic_pointwise(self._add_equivalent_Mises,{'T_sym':T_sym},{'kind':kind})
@staticmethod @staticmethod
@ -872,19 +873,19 @@ class Result:
@staticmethod @staticmethod
def _add_PK2(P,F): def _add_stress_second_Piola_Kirchhoff(P,F):
return { return {
'data': mechanics.PK2(P['data'],F['data']), 'data': mechanics.stress_second_Piola_Kirchhoff(P['data'],F['data']),
'label': 'S', 'label': 'S',
'meta': { 'meta': {
'Unit': P['meta']['Unit'], 'Unit': P['meta']['Unit'],
'Description': "2. Piola-Kirchhoff stress calculated " 'Description': "2. Piola-Kirchhoff stress calculated "
f"from {P['label']} ({P['meta']['Description']})" f"from {P['label']} ({P['meta']['Description']})"
f" and {F['label']} ({F['meta']['Description']})", f" and {F['label']} ({F['meta']['Description']})",
'Creator': 'add_PK2' 'Creator': 'add_stress_second_Piola_Kirchhoff'
} }
} }
def add_PK2(self,P='P',F='F'): def add_stress_second_Piola_Kirchhoff(self,P='P',F='F'):
""" """
Add second Piola-Kirchhoff stress calculated from first Piola-Kirchhoff stress and deformation gradient. Add second Piola-Kirchhoff stress calculated from first Piola-Kirchhoff stress and deformation gradient.
@ -896,7 +897,7 @@ class Result:
Label of deformation gradient dataset. Defaults to ‘F’. Label of deformation gradient dataset. Defaults to ‘F’.
""" """
self._add_generic_pointwise(self._add_PK2,{'P':P,'F':F}) self._add_generic_pointwise(self._add_stress_second_Piola_Kirchhoff,{'P':P,'F':F})
# The add_pole functionality needs discussion. # The add_pole functionality needs discussion.
@ -1297,3 +1298,6 @@ class Result:
v.add(u,'u') v.add(u,'u')
v.save(f'{self.fname.stem}_inc{inc[3:].zfill(N_digits)}') v.save(f'{self.fname.stem}_inc{inc[3:].zfill(N_digits)}')
Result.add_PK2 = Result.add_stress_second_Piola_Kirchhoff

14
python/damask/_rotation.py
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@ -66,12 +66,12 @@ class Rotation:
def __repr__(self): def __repr__(self):
"""Represent rotation as unit quaternion, rotation matrix, and Bunge-Euler angles.""" """Represent rotation as unit quaternion, rotation matrix, and Bunge-Euler angles."""
return 'Quaternions:\n'+str(self.quaternion) \ return 'As quaternions:\n'+str(self.quaternion) \
if self.quaternion.shape != (4,) else \ if self.quaternion.shape != (4,) else \
'\n'.join([ '\n'.join([
'Quaternion: (real={:.3f}, imag=<{:+.3f}, {:+.3f}, {:+.3f}>)'.format(*(self.quaternion)), 'Quaternion: (real={:.3f}, imag=<{:+.3f}, {:+.3f}, {:+.3f}>)'.format(*(self.quaternion)),
'Matrix:\n{}'.format(np.round(self.as_matrix(),8)), 'Matrix:\n{}'.format(np.round(self.as_matrix(),8)),
'Bunge Eulers / deg: ({:3.2f}, {:3.2f}, {:3.2f})'.format(*self.as_Eulers(degrees=True)), 'Bunge Eulers / deg: ({:3.2f}, {:3.2f}, {:3.2f})'.format(*self.as_Euler_angles(degrees=True)),
]) ])
@ -314,7 +314,7 @@ class Rotation:
""" """
return self.quaternion.copy() return self.quaternion.copy()
def as_Eulers(self, def as_Euler_angles(self,
degrees = False): degrees = False):
""" """
Represent as Bunge-Euler angles. Represent as Bunge-Euler angles.
@ -372,7 +372,7 @@ class Rotation:
""" """
return Rotation._qu2om(self.quaternion) return Rotation._qu2om(self.quaternion)
def as_Rodrigues(self, def as_Rodrigues_vector(self,
vector = False): vector = False):
""" """
Represent as Rodrigues-Frank vector with separated axis and angle argument. Represent as Rodrigues-Frank vector with separated axis and angle argument.
@ -462,7 +462,7 @@ class Rotation:
return Rotation(qu) return Rotation(qu)
@staticmethod @staticmethod
def from_Eulers(phi, def from_Euler_angles(phi,
degrees = False, degrees = False,
**kwargs): **kwargs):
""" """
@ -606,7 +606,7 @@ class Rotation:
@staticmethod @staticmethod
def from_Rodrigues(rho, def from_Rodrigues_vector(rho,
normalize = False, normalize = False,
P = -1, P = -1,
**kwargs): **kwargs):
@ -784,7 +784,7 @@ class Rotation:
dg = 1.0 if fractions else _dg(Eulers,degrees) dg = 1.0 if fractions else _dg(Eulers,degrees)
dV_V = dg * np.maximum(0.0,weights.squeeze()) dV_V = dg * np.maximum(0.0,weights.squeeze())
return Rotation.from_Eulers(Eulers[util.hybrid_IA(dV_V,N,seed)],degrees) return Rotation.from_Euler_angles(Eulers[util.hybrid_IA(dV_V,N,seed)],degrees)
@staticmethod @staticmethod

22
python/damask/mechanics.py
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@ -5,7 +5,7 @@ from . import tensor
import numpy as _np import numpy as _np
def Cauchy_Green_deformation_left(F): def deformation_Cauchy_Green_left(F):
""" """
Calculate left Cauchy-Green deformation tensor (Finger deformation tensor). Calculate left Cauchy-Green deformation tensor (Finger deformation tensor).
@ -23,7 +23,7 @@ def Cauchy_Green_deformation_left(F):
return _np.matmul(F,tensor.transpose(F)) return _np.matmul(F,tensor.transpose(F))
def Cauchy_Green_deformation_right(F): def deformation_Cauchy_Green_right(F):
""" """
Calculate right Cauchy-Green deformation tensor. Calculate right Cauchy-Green deformation tensor.
@ -41,7 +41,7 @@ def Cauchy_Green_deformation_right(F):
return _np.matmul(tensor.transpose(F),F) return _np.matmul(tensor.transpose(F),F)
def Cauchy(P,F): def stress_Cauchy(P,F):
""" """
Calculate the Cauchy stress (true stress). Calculate the Cauchy stress (true stress).
@ -101,7 +101,7 @@ def maximum_shear(T_sym):
return (w[...,0] - w[...,2])*0.5 return (w[...,0] - w[...,2])*0.5
def Mises_strain(epsilon): def equivalent_strain_Mises(epsilon):
""" """
Calculate the Mises equivalent of a strain tensor. Calculate the Mises equivalent of a strain tensor.
@ -116,10 +116,10 @@ def Mises_strain(epsilon):
Von Mises equivalent strain of epsilon. Von Mises equivalent strain of epsilon.
""" """
return _Mises(epsilon,2.0/3.0) return _equivalent_Mises(epsilon,2.0/3.0)
def Mises_stress(sigma): def equivalent_stress_Mises(sigma):
""" """
Calculate the Mises equivalent of a stress tensor. Calculate the Mises equivalent of a stress tensor.
@ -134,10 +134,10 @@ def Mises_stress(sigma):
Von Mises equivalent stress of sigma. Von Mises equivalent stress of sigma.
""" """
return _Mises(sigma,3.0/2.0) return _equivalent_Mises(sigma,3.0/2.0)
def PK2(P,F): def stress_second_Piola_Kirchhoff(P,F):
""" """
Calculate the second Piola-Kirchhoff stress. Calculate the second Piola-Kirchhoff stress.
@ -226,9 +226,9 @@ def strain(F,t,m):
""" """
if t == 'V': if t == 'V':
w,n = _np.linalg.eigh(Cauchy_Green_deformation_left(F)) w,n = _np.linalg.eigh(deformation_Cauchy_Green_left(F))
elif t == 'U': elif t == 'U':
w,n = _np.linalg.eigh(Cauchy_Green_deformation_right(F)) w,n = _np.linalg.eigh(deformation_Cauchy_Green_right(F))
if m > 0.0: if m > 0.0:
eps = 1.0/(2.0*abs(m)) * (+ _np.einsum('...j,...kj,...lj',w**m,n,n) - _np.eye(3)) eps = 1.0/(2.0*abs(m)) * (+ _np.einsum('...j,...kj,...lj',w**m,n,n) - _np.eye(3))
@ -304,7 +304,7 @@ def _polar_decomposition(T,requested):
return tuple(output) return tuple(output)
def _Mises(T_sym,s): def _equivalent_Mises(T_sym,s):
""" """
Base equation for Mises equivalent of a stress or strain tensor. Base equation for Mises equivalent of a stress or strain tensor.

2
python/tests/test_Geom.py
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@ -223,7 +223,7 @@ class TestGeom:
@pytest.mark.parametrize('Eulers',[[32.0,68.0,21.0], @pytest.mark.parametrize('Eulers',[[32.0,68.0,21.0],
[0.0,32.0,240.0]]) [0.0,32.0,240.0]])
def test_rotate(self,default,update,reference_dir,Eulers): def test_rotate(self,default,update,reference_dir,Eulers):
modified = default.rotate(Rotation.from_Eulers(Eulers,degrees=True)) modified = default.rotate(Rotation.from_Euler_angles(Eulers,degrees=True))
tag = f'Eulers_{util.srepr(Eulers,"-")}' tag = f'Eulers_{util.srepr(Eulers,"-")}'
reference = reference_dir/f'rotate_{tag}.vtr' reference = reference_dir/f'rotate_{tag}.vtr'
if update: modified.save(reference) if update: modified.save(reference)

22
python/tests/test_Orientation.py
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@ -16,7 +16,7 @@ def reference_dir(reference_dir_base):
@pytest.fixture @pytest.fixture
def set_of_rodrigues(set_of_quaternions): def set_of_rodrigues(set_of_quaternions):
return Rotation(set_of_quaternions).as_Rodrigues()[:200] return Rotation(set_of_quaternions).as_Rodrigues_vector()[:200]
class TestOrientation: class TestOrientation:
@ -90,8 +90,8 @@ class TestOrientation:
assert np.all(Orientation.from_quaternion(q=np.array([1,0,0,0]),lattice='triclinic').as_matrix() assert np.all(Orientation.from_quaternion(q=np.array([1,0,0,0]),lattice='triclinic').as_matrix()
== np.eye(3)) == np.eye(3))
def test_from_Eulers(self): def test_from_Euler_angles(self):
assert np.all(Orientation.from_Eulers(phi=np.zeros(3),lattice='triclinic').as_matrix() assert np.all(Orientation.from_Euler_angles(phi=np.zeros(3),lattice='triclinic').as_matrix()
== np.eye(3)) == np.eye(3))
def test_from_axis_angle(self): def test_from_axis_angle(self):
@ -106,8 +106,8 @@ class TestOrientation:
assert np.all(Orientation.from_matrix(R=np.eye(3),lattice='triclinic').as_matrix() assert np.all(Orientation.from_matrix(R=np.eye(3),lattice='triclinic').as_matrix()
== np.eye(3)) == np.eye(3))
def test_from_Rodrigues(self): def test_from_Rodrigues_vector(self):
assert np.all(Orientation.from_Rodrigues(rho=np.array([0,0,1,0]),lattice='triclinic').as_matrix() assert np.all(Orientation.from_Rodrigues_vector(rho=np.array([0,0,1,0]),lattice='triclinic').as_matrix()
== np.eye(3)) == np.eye(3))
def test_from_homochoric(self): def test_from_homochoric(self):
@ -208,7 +208,7 @@ class TestOrientation:
@pytest.mark.parametrize('lattice',Orientation.crystal_families) @pytest.mark.parametrize('lattice',Orientation.crystal_families)
def test_disorientation360(self,lattice): def test_disorientation360(self,lattice):
o_1 = Orientation(Rotation(),lattice) o_1 = Orientation(Rotation(),lattice)
o_2 = Orientation.from_Eulers(lattice=lattice,phi=[360,0,0],degrees=True) o_2 = Orientation.from_Euler_angles(lattice=lattice,phi=[360,0,0],degrees=True)
assert np.allclose((o_1.disorientation(o_2)).as_matrix(),np.eye(3)) assert np.allclose((o_1.disorientation(o_2)).as_matrix(),np.eye(3))
@pytest.mark.parametrize('lattice',Orientation.crystal_families) @pytest.mark.parametrize('lattice',Orientation.crystal_families)
@ -275,16 +275,16 @@ class TestOrientation:
@pytest.mark.parametrize('lattice',Orientation.crystal_families) @pytest.mark.parametrize('lattice',Orientation.crystal_families)
def test_in_FZ_vectorization(self,set_of_rodrigues,lattice): def test_in_FZ_vectorization(self,set_of_rodrigues,lattice):
result = Orientation.from_Rodrigues(rho=set_of_rodrigues.reshape((50,4,-1)),lattice=lattice).in_FZ.reshape(-1) result = Orientation.from_Rodrigues_vector(rho=set_of_rodrigues.reshape((50,4,-1)),lattice=lattice).in_FZ.reshape(-1)
for r,rho in zip(result,set_of_rodrigues[:len(result)]): for r,rho in zip(result,set_of_rodrigues[:len(result)]):
assert r == Orientation.from_Rodrigues(rho=rho,lattice=lattice).in_FZ assert r == Orientation.from_Rodrigues_vector(rho=rho,lattice=lattice).in_FZ
@pytest.mark.parametrize('lattice',Orientation.crystal_families) @pytest.mark.parametrize('lattice',Orientation.crystal_families)
def test_in_disorientation_FZ_vectorization(self,set_of_rodrigues,lattice): def test_in_disorientation_FZ_vectorization(self,set_of_rodrigues,lattice):
result = Orientation.from_Rodrigues(rho=set_of_rodrigues.reshape((50,4,-1)), result = Orientation.from_Rodrigues_vector(rho=set_of_rodrigues.reshape((50,4,-1)),
lattice=lattice).in_disorientation_FZ.reshape(-1) lattice=lattice).in_disorientation_FZ.reshape(-1)
for r,rho in zip(result,set_of_rodrigues[:len(result)]): for r,rho in zip(result,set_of_rodrigues[:len(result)]):
assert r == Orientation.from_Rodrigues(rho=rho,lattice=lattice).in_disorientation_FZ assert r == Orientation.from_Rodrigues_vector(rho=rho,lattice=lattice).in_disorientation_FZ
@pytest.mark.parametrize('proper',[True,False]) @pytest.mark.parametrize('proper',[True,False])
@pytest.mark.parametrize('lattice',Orientation.crystal_families) @pytest.mark.parametrize('lattice',Orientation.crystal_families)
@ -417,7 +417,7 @@ class TestOrientation:
def test_relationship_reference(self,update,reference_dir,model,lattice): def test_relationship_reference(self,update,reference_dir,model,lattice):
reference = reference_dir/f'{lattice}_{model}.txt' reference = reference_dir/f'{lattice}_{model}.txt'
o = Orientation(lattice=lattice) o = Orientation(lattice=lattice)
eu = o.related(model).as_Eulers(degrees=True) eu = o.related(model).as_Euler_angles(degrees=True)
if update: if update:
coords = np.array([(1,i+1) for i,x in enumerate(eu)]) coords = np.array([(1,i+1) for i,x in enumerate(eu)])
Table(eu,{'Eulers':(3,)})\ Table(eu,{'Eulers':(3,)})\

44
python/tests/test_Result.py
View File

@ -121,13 +121,13 @@ class TestResult:
in_file = default.read_dataset(loc['x'],0) in_file = default.read_dataset(loc['x'],0)
assert np.allclose(in_memory,in_file) assert np.allclose(in_memory,in_file)
def test_add_Cauchy(self,default): def test_add_stress_Cauchy(self,default):
default.add_Cauchy('P','F') default.add_stress_Cauchy('P','F')
loc = {'F': default.get_dataset_location('F'), loc = {'F': default.get_dataset_location('F'),
'P': default.get_dataset_location('P'), 'P': default.get_dataset_location('P'),
'sigma':default.get_dataset_location('sigma')} 'sigma':default.get_dataset_location('sigma')}
in_memory = mechanics.Cauchy(default.read_dataset(loc['P'],0), in_memory = mechanics.stress_Cauchy(default.read_dataset(loc['P'],0),
default.read_dataset(loc['F'],0)) default.read_dataset(loc['F'],0))
in_file = default.read_dataset(loc['sigma'],0) in_file = default.read_dataset(loc['sigma'],0)
assert np.allclose(in_memory,in_file) assert np.allclose(in_memory,in_file)
@ -149,7 +149,7 @@ class TestResult:
@pytest.mark.parametrize('eigenvalue,function',[('max',np.amax),('min',np.amin)]) @pytest.mark.parametrize('eigenvalue,function',[('max',np.amax),('min',np.amin)])
def test_add_eigenvalue(self,default,eigenvalue,function): def test_add_eigenvalue(self,default,eigenvalue,function):
default.add_Cauchy('P','F') default.add_stress_Cauchy('P','F')
default.add_eigenvalue('sigma',eigenvalue) default.add_eigenvalue('sigma',eigenvalue)
loc = {'sigma' :default.get_dataset_location('sigma'), loc = {'sigma' :default.get_dataset_location('sigma'),
'lambda':default.get_dataset_location(f'lambda_{eigenvalue}(sigma)')} 'lambda':default.get_dataset_location(f'lambda_{eigenvalue}(sigma)')}
@ -159,7 +159,7 @@ class TestResult:
@pytest.mark.parametrize('eigenvalue,idx',[('max',2),('mid',1),('min',0)]) @pytest.mark.parametrize('eigenvalue,idx',[('max',2),('mid',1),('min',0)])
def test_add_eigenvector(self,default,eigenvalue,idx): def test_add_eigenvector(self,default,eigenvalue,idx):
default.add_Cauchy('P','F') default.add_stress_Cauchy('P','F')
default.add_eigenvector('sigma',eigenvalue) default.add_eigenvector('sigma',eigenvalue)
loc = {'sigma' :default.get_dataset_location('sigma'), loc = {'sigma' :default.get_dataset_location('sigma'),
'v(sigma)':default.get_dataset_location(f'v_{eigenvalue}(sigma)')} 'v(sigma)':default.get_dataset_location(f'v_{eigenvalue}(sigma)')}
@ -183,7 +183,7 @@ class TestResult:
assert np.allclose(in_memory,in_file) assert np.allclose(in_memory,in_file)
def test_add_maximum_shear(self,default): def test_add_maximum_shear(self,default):
default.add_Cauchy('P','F') default.add_stress_Cauchy('P','F')
default.add_maximum_shear('sigma') default.add_maximum_shear('sigma')
loc = {'sigma' :default.get_dataset_location('sigma'), loc = {'sigma' :default.get_dataset_location('sigma'),
'max_shear(sigma)':default.get_dataset_location('max_shear(sigma)')} 'max_shear(sigma)':default.get_dataset_location('max_shear(sigma)')}
@ -196,34 +196,34 @@ class TestResult:
m = np.random.random()*2.0 - 1.0 m = np.random.random()*2.0 - 1.0
default.add_strain('F',t,m) default.add_strain('F',t,m)
label = f'epsilon_{t}^{m}(F)' label = f'epsilon_{t}^{m}(F)'
default.add_Mises(label) default.add_equivalent_Mises(label)
loc = {label :default.get_dataset_location(label), loc = {label :default.get_dataset_location(label),
label+'_vM':default.get_dataset_location(label+'_vM')} label+'_vM':default.get_dataset_location(label+'_vM')}
in_memory = mechanics.Mises_strain(default.read_dataset(loc[label],0)).reshape(-1,1) in_memory = mechanics.equivalent_strain_Mises(default.read_dataset(loc[label],0)).reshape(-1,1)
in_file = default.read_dataset(loc[label+'_vM'],0) in_file = default.read_dataset(loc[label+'_vM'],0)
assert np.allclose(in_memory,in_file) assert np.allclose(in_memory,in_file)
def test_add_Mises_stress(self,default): def test_add_Mises_stress(self,default):
default.add_Cauchy('P','F') default.add_stress_Cauchy('P','F')
default.add_Mises('sigma') default.add_equivalent_Mises('sigma')
loc = {'sigma' :default.get_dataset_location('sigma'), loc = {'sigma' :default.get_dataset_location('sigma'),
'sigma_vM':default.get_dataset_location('sigma_vM')} 'sigma_vM':default.get_dataset_location('sigma_vM')}
in_memory = mechanics.Mises_stress(default.read_dataset(loc['sigma'],0)).reshape(-1,1) in_memory = mechanics.equivalent_stress_Mises(default.read_dataset(loc['sigma'],0)).reshape(-1,1)
in_file = default.read_dataset(loc['sigma_vM'],0) in_file = default.read_dataset(loc['sigma_vM'],0)
assert np.allclose(in_memory,in_file) assert np.allclose(in_memory,in_file)
def test_add_Mises_invalid(self,default): def test_add_Mises_invalid(self,default):
default.add_Cauchy('P','F') default.add_stress_Cauchy('P','F')
default.add_calculation('sigma_y','#sigma#',unit='y') default.add_calculation('sigma_y','#sigma#',unit='y')
default.add_Mises('sigma_y') default.add_equivalent_Mises('sigma_y')
assert default.get_dataset_location('sigma_y_vM') == [] assert default.get_dataset_location('sigma_y_vM') == []
def test_add_Mises_stress_strain(self,default): def test_add_Mises_stress_strain(self,default):
default.add_Cauchy('P','F') default.add_stress_Cauchy('P','F')
default.add_calculation('sigma_y','#sigma#',unit='y') default.add_calculation('sigma_y','#sigma#',unit='y')
default.add_calculation('sigma_x','#sigma#',unit='x') default.add_calculation('sigma_x','#sigma#',unit='x')
default.add_Mises('sigma_y',kind='strain') default.add_equivalent_Mises('sigma_y',kind='strain')
default.add_Mises('sigma_x',kind='stress') default.add_equivalent_Mises('sigma_x',kind='stress')
loc = {'y' :default.get_dataset_location('sigma_y_vM'), loc = {'y' :default.get_dataset_location('sigma_y_vM'),
'x' :default.get_dataset_location('sigma_x_vM')} 'x' :default.get_dataset_location('sigma_x_vM')}
assert not np.allclose(default.read_dataset(loc['y'],0),default.read_dataset(loc['x'],0)) assert not np.allclose(default.read_dataset(loc['y'],0),default.read_dataset(loc['x'],0))
@ -236,13 +236,13 @@ class TestResult:
in_file = default.read_dataset(loc['|F|_1'],0) in_file = default.read_dataset(loc['|F|_1'],0)
assert np.allclose(in_memory,in_file) assert np.allclose(in_memory,in_file)
def test_add_PK2(self,default): def test_add_stress_second_Piola_Kirchhoff(self,default):
default.add_PK2('P','F') default.add_stress_second_Piola_Kirchhoff('P','F')
loc = {'F':default.get_dataset_location('F'), loc = {'F':default.get_dataset_location('F'),
'P':default.get_dataset_location('P'), 'P':default.get_dataset_location('P'),
'S':default.get_dataset_location('S')} 'S':default.get_dataset_location('S')}
in_memory = mechanics.PK2(default.read_dataset(loc['P'],0), in_memory = mechanics.stress_second_Piola_Kirchhoff(default.read_dataset(loc['P'],0),
default.read_dataset(loc['F'],0)) default.read_dataset(loc['F'],0))
in_file = default.read_dataset(loc['S'],0) in_file = default.read_dataset(loc['S'],0)
assert np.allclose(in_memory,in_file) assert np.allclose(in_memory,in_file)
@ -312,7 +312,7 @@ class TestResult:
def test_add_overwrite(self,default,overwrite): def test_add_overwrite(self,default,overwrite):
default.pick('times',default.times_in_range(0,np.inf)[-1]) default.pick('times',default.times_in_range(0,np.inf)[-1])
default.add_Cauchy() default.add_stress_Cauchy()
loc = default.get_dataset_location('sigma') loc = default.get_dataset_location('sigma')
with h5py.File(default.fname,'r') as f: with h5py.File(default.fname,'r') as f:
# h5py3 compatibility # h5py3 compatibility

42
python/tests/test_Rotation.py
View File

@ -522,7 +522,7 @@ class TestRotation:
def test_Eulers_internal(self,set_of_rotations,forward,backward): def test_Eulers_internal(self,set_of_rotations,forward,backward):
"""Ensure invariance of conversion from Euler angles and back.""" """Ensure invariance of conversion from Euler angles and back."""
for rot in set_of_rotations: for rot in set_of_rotations:
m = rot.as_Eulers() m = rot.as_Euler_angles()
o = backward(forward(m)) o = backward(forward(m))
u = np.array([np.pi*2,np.pi,np.pi*2]) u = np.array([np.pi*2,np.pi,np.pi*2])
ok = np.allclose(m,o,atol=atol) ok = np.allclose(m,o,atol=atol)
@ -559,7 +559,7 @@ class TestRotation:
"""Ensure invariance of conversion from Rodrigues-Frank vector and back.""" """Ensure invariance of conversion from Rodrigues-Frank vector and back."""
cutoff = np.tan(np.pi*.5*(1.-1e-4)) cutoff = np.tan(np.pi*.5*(1.-1e-4))
for rot in set_of_rotations: for rot in set_of_rotations:
m = rot.as_Rodrigues() m = rot.as_Rodrigues_vector()
o = backward(forward(m)) o = backward(forward(m))
ok = np.allclose(np.clip(m,None,cutoff),np.clip(o,None,cutoff),atol=atol) ok = np.allclose(np.clip(m,None,cutoff),np.clip(o,None,cutoff),atol=atol)
ok = ok or np.isclose(m[3],0.0,atol=atol) ok = ok or np.isclose(m[3],0.0,atol=atol)
@ -626,7 +626,7 @@ class TestRotation:
(Rotation._eu2ro,eu2ro)]) (Rotation._eu2ro,eu2ro)])
def test_Eulers_vectorization(self,set_of_rotations,vectorized,single): def test_Eulers_vectorization(self,set_of_rotations,vectorized,single):
"""Check vectorized implementation for Euler angles against single point calculation.""" """Check vectorized implementation for Euler angles against single point calculation."""
eu = np.array([rot.as_Eulers() for rot in set_of_rotations]) eu = np.array([rot.as_Euler_angles() for rot in set_of_rotations])
vectorized(eu.reshape(eu.shape[0]//2,-1,3)) vectorized(eu.reshape(eu.shape[0]//2,-1,3))
co = vectorized(eu) co = vectorized(eu)
for e,c in zip(eu,co): for e,c in zip(eu,co):
@ -649,7 +649,7 @@ class TestRotation:
(Rotation._ro2ho,ro2ho)]) (Rotation._ro2ho,ro2ho)])
def test_Rodrigues_vectorization(self,set_of_rotations,vectorized,single): def test_Rodrigues_vectorization(self,set_of_rotations,vectorized,single):
"""Check vectorized implementation for Rodrigues-Frank vector against single point calculation.""" """Check vectorized implementation for Rodrigues-Frank vector against single point calculation."""
ro = np.array([rot.as_Rodrigues() for rot in set_of_rotations]) ro = np.array([rot.as_Rodrigues_vector() for rot in set_of_rotations])
vectorized(ro.reshape(ro.shape[0]//2,-1,4)) vectorized(ro.reshape(ro.shape[0]//2,-1,4))
co = vectorized(ro) co = vectorized(ro)
for r,c in zip(ro,co): for r,c in zip(ro,co):
@ -687,7 +687,7 @@ class TestRotation:
def test_Eulers(self,set_of_rotations,degrees): def test_Eulers(self,set_of_rotations,degrees):
for rot in set_of_rotations: for rot in set_of_rotations:
m = rot.as_quaternion() m = rot.as_quaternion()
o = Rotation.from_Eulers(rot.as_Eulers(degrees),degrees).as_quaternion() o = Rotation.from_Euler_angles(rot.as_Euler_angles(degrees),degrees).as_quaternion()
ok = np.allclose(m,o,atol=atol) ok = np.allclose(m,o,atol=atol)
if np.isclose(rot.as_quaternion()[0],0.0,atol=atol): if np.isclose(rot.as_quaternion()[0],0.0,atol=atol):
ok |= np.allclose(m*-1.,o,atol=atol) ok |= np.allclose(m*-1.,o,atol=atol)
@ -699,8 +699,8 @@ class TestRotation:
def test_axis_angle(self,set_of_rotations,degrees,normalize,P): def test_axis_angle(self,set_of_rotations,degrees,normalize,P):
c = np.array([P*-1,P*-1,P*-1,1.]) c = np.array([P*-1,P*-1,P*-1,1.])
for rot in set_of_rotations: for rot in set_of_rotations:
m = rot.as_Eulers() m = rot.as_Euler_angles()
o = Rotation.from_axis_angle(rot.as_axis_angle(degrees)*c,degrees,normalize,P).as_Eulers() o = Rotation.from_axis_angle(rot.as_axis_angle(degrees)*c,degrees,normalize,P).as_Euler_angles()
u = np.array([np.pi*2,np.pi,np.pi*2]) u = np.array([np.pi*2,np.pi,np.pi*2])
ok = np.allclose(m,o,atol=atol) ok = np.allclose(m,o,atol=atol)
ok |= np.allclose(np.where(np.isclose(m,u),m-u,m),np.where(np.isclose(o,u),o-u,o),atol=atol) ok |= np.allclose(np.where(np.isclose(m,u),m-u,m),np.where(np.isclose(o,u),o-u,o),atol=atol)
@ -726,7 +726,7 @@ class TestRotation:
c = np.array([P*-1,P*-1,P*-1,1.]) c = np.array([P*-1,P*-1,P*-1,1.])
for rot in set_of_rotations: for rot in set_of_rotations:
m = rot.as_matrix() m = rot.as_matrix()
o = Rotation.from_Rodrigues(rot.as_Rodrigues()*c,normalize,P).as_matrix() o = Rotation.from_Rodrigues_vector(rot.as_Rodrigues_vector()*c,normalize,P).as_matrix()
ok = np.allclose(m,o,atol=atol) ok = np.allclose(m,o,atol=atol)
assert ok and np.isclose(np.linalg.det(o),1.0), f'{m},{o}' assert ok and np.isclose(np.linalg.det(o),1.0), f'{m},{o}'
@ -734,8 +734,8 @@ class TestRotation:
def test_homochoric(self,set_of_rotations,P): def test_homochoric(self,set_of_rotations,P):
cutoff = np.tan(np.pi*.5*(1.-1e-4)) cutoff = np.tan(np.pi*.5*(1.-1e-4))
for rot in set_of_rotations: for rot in set_of_rotations:
m = rot.as_Rodrigues() m = rot.as_Rodrigues_vector()
o = Rotation.from_homochoric(rot.as_homochoric()*P*-1,P).as_Rodrigues() o = Rotation.from_homochoric(rot.as_homochoric()*P*-1,P).as_Rodrigues_vector()
ok = np.allclose(np.clip(m,None,cutoff),np.clip(o,None,cutoff),atol=atol) ok = np.allclose(np.clip(m,None,cutoff),np.clip(o,None,cutoff),atol=atol)
ok = ok or np.isclose(m[3],0.0,atol=atol) ok = ok or np.isclose(m[3],0.0,atol=atol)
assert ok and np.isclose(np.linalg.norm(o[:3]),1.0), f'{m},{o},{rot.as_quaternion()}' assert ok and np.isclose(np.linalg.norm(o[:3]),1.0), f'{m},{o},{rot.as_quaternion()}'
@ -819,10 +819,10 @@ class TestRotation:
assert r == r.flatten(order).reshape(shape,order) assert r == r.flatten(order).reshape(shape,order)
@pytest.mark.parametrize('function',[Rotation.from_quaternion, @pytest.mark.parametrize('function',[Rotation.from_quaternion,
Rotation.from_Eulers, Rotation.from_Euler_angles,
Rotation.from_axis_angle, Rotation.from_axis_angle,
Rotation.from_matrix, Rotation.from_matrix,
Rotation.from_Rodrigues, Rotation.from_Rodrigues_vector,
Rotation.from_homochoric, Rotation.from_homochoric,
Rotation.from_cubochoric]) Rotation.from_cubochoric])
def test_invalid_shape(self,function): def test_invalid_shape(self,function):
@ -832,7 +832,7 @@ class TestRotation:
@pytest.mark.parametrize('fr,to',[(Rotation.from_quaternion,'as_quaternion'), @pytest.mark.parametrize('fr,to',[(Rotation.from_quaternion,'as_quaternion'),
(Rotation.from_axis_angle,'as_axis_angle'), (Rotation.from_axis_angle,'as_axis_angle'),
(Rotation.from_Rodrigues, 'as_Rodrigues'), (Rotation.from_Rodrigues_vector, 'as_Rodrigues_vector'),
(Rotation.from_homochoric,'as_homochoric'), (Rotation.from_homochoric,'as_homochoric'),
(Rotation.from_cubochoric,'as_cubochoric')]) (Rotation.from_cubochoric,'as_cubochoric')])
def test_invalid_P(self,fr,to): def test_invalid_P(self,fr,to):
@ -852,13 +852,13 @@ class TestRotation:
@pytest.mark.parametrize('function,invalid',[(Rotation.from_quaternion, np.array([-1,0,0,0])), @pytest.mark.parametrize('function,invalid',[(Rotation.from_quaternion, np.array([-1,0,0,0])),
(Rotation.from_quaternion, np.array([1,1,1,0])), (Rotation.from_quaternion, np.array([1,1,1,0])),
(Rotation.from_Eulers, np.array([1,4,0])), (Rotation.from_Euler_angles, np.array([1,4,0])),
(Rotation.from_axis_angle, np.array([1,0,0,4])), (Rotation.from_axis_angle, np.array([1,0,0,4])),
(Rotation.from_axis_angle, np.array([1,1,0,1])), (Rotation.from_axis_angle, np.array([1,1,0,1])),
(Rotation.from_matrix, np.random.rand(3,3)), (Rotation.from_matrix, np.random.rand(3,3)),
(Rotation.from_matrix, np.array([[1,1,0],[1,2,0],[0,0,1]])), (Rotation.from_matrix, np.array([[1,1,0],[1,2,0],[0,0,1]])),
(Rotation.from_Rodrigues, np.array([1,0,0,-1])), (Rotation.from_Rodrigues_vector, np.array([1,0,0,-1])),
(Rotation.from_Rodrigues, np.array([1,1,0,1])), (Rotation.from_Rodrigues_vector, np.array([1,1,0,1])),
(Rotation.from_homochoric, np.array([2,2,2])), (Rotation.from_homochoric, np.array([2,2,2])),
(Rotation.from_cubochoric, np.array([1.1,0,0])) ]) (Rotation.from_cubochoric, np.array([1.1,0,0])) ])
def test_invalid_value(self,function,invalid): def test_invalid_value(self,function,invalid):
@ -904,8 +904,8 @@ class TestRotation:
def test_rotate_360deg(self,data): def test_rotate_360deg(self,data):
phi_1 = np.random.random() * np.pi phi_1 = np.random.random() * np.pi
phi_2 = 2*np.pi - phi_1 phi_2 = 2*np.pi - phi_1
R_1 = Rotation.from_Eulers(np.array([phi_1,0.,0.])) R_1 = Rotation.from_Euler_angles(np.array([phi_1,0.,0.]))
R_2 = Rotation.from_Eulers(np.array([0.,0.,phi_2])) R_2 = Rotation.from_Euler_angles(np.array([0.,0.,phi_2]))
assert np.allclose(data,R_2@(R_1@data)) assert np.allclose(data,R_2@(R_1@data))
@pytest.mark.parametrize('pwr',[-10,0,1,2.5,np.pi,np.random.random()]) @pytest.mark.parametrize('pwr',[-10,0,1,2.5,np.pi,np.random.random()])
@ -951,7 +951,7 @@ class TestRotation:
def test_misorientation360(self): def test_misorientation360(self):
R_1 = Rotation() R_1 = Rotation()
R_2 = Rotation.from_Eulers([360,0,0],degrees=True) R_2 = Rotation.from_Euler_angles([360,0,0],degrees=True)
assert np.allclose(R_1.misorientation(R_2).as_matrix(),np.eye(3)) assert np.allclose(R_1.misorientation(R_2).as_matrix(),np.eye(3))
@pytest.mark.parametrize('angle',[10,20,30,40,50,60,70,80,90,100,120]) @pytest.mark.parametrize('angle',[10,20,30,40,50,60,70,80,90,100,120])
@ -1014,7 +1014,7 @@ class TestRotation:
Eulers = grid_filters.cell_coord0(steps,limits) Eulers = grid_filters.cell_coord0(steps,limits)
Eulers = np.radians(Eulers) if not degrees else Eulers Eulers = np.radians(Eulers) if not degrees else Eulers
Eulers_r = Rotation.from_ODF(weights,Eulers.reshape(-1,3,order='F'),N,degrees,fractions).as_Eulers(True) Eulers_r = Rotation.from_ODF(weights,Eulers.reshape(-1,3,order='F'),N,degrees,fractions).as_Euler_angles(True)
weights_r = np.histogramdd(Eulers_r,steps,rng)[0].flatten(order='F')/N * np.sum(weights) weights_r = np.histogramdd(Eulers_r,steps,rng)[0].flatten(order='F')/N * np.sum(weights)
if fractions: assert np.sqrt(((weights_r - weights) ** 2).mean()) < 4 if fractions: assert np.sqrt(((weights_r - weights) ** 2).mean()) < 4
@ -1032,7 +1032,7 @@ class TestRotation:
Eulers = grid_filters.node_coord0(steps,limits)[:-1,:-1,:-1] Eulers = grid_filters.node_coord0(steps,limits)[:-1,:-1,:-1]
Eulers = np.radians(Eulers) if not degrees else Eulers Eulers = np.radians(Eulers) if not degrees else Eulers
Eulers_r = Rotation.from_ODF(weights,Eulers.reshape(-1,3,order='F'),N,degrees).as_Eulers(True) Eulers_r = Rotation.from_ODF(weights,Eulers.reshape(-1,3,order='F'),N,degrees).as_Euler_angles(True)
weights_r = np.histogramdd(Eulers_r,steps,rng)[0].flatten(order='F')/N * np.sum(weights) weights_r = np.histogramdd(Eulers_r,steps,rng)[0].flatten(order='F')/N * np.sum(weights)
assert np.sqrt(((weights_r - weights) ** 2).mean()) < 5 assert np.sqrt(((weights_r - weights) ** 2).mean()) < 5

49
python/tests/test_mechanics.py
View File

@ -4,7 +4,7 @@ import numpy as np
from damask import tensor from damask import tensor
from damask import mechanics from damask import mechanics
def Cauchy(P,F): def stress_Cauchy(P,F):
sigma = 1.0/np.linalg.det(F) * np.dot(P,F.T) sigma = 1.0/np.linalg.det(F) * np.dot(P,F.T)
return symmetric(sigma) return symmetric(sigma)
@ -22,15 +22,15 @@ def maximum_shear(T_sym):
return (w[0] - w[2])*0.5 return (w[0] - w[2])*0.5
def Mises_strain(epsilon): def equivalent_strain_Mises(epsilon):
return Mises(epsilon,2.0/3.0) return equivalent_Mises(epsilon,2.0/3.0)
def Mises_stress(sigma): def equivalent_stress_Mises(sigma):
return Mises(sigma,3.0/2.0) return equivalent_Mises(sigma,3.0/2.0)
def PK2(P,F): def stress_second_Piola_Kirchhoff(P,F):
S = np.dot(np.linalg.inv(F),P) S = np.dot(np.linalg.inv(F),P)
return symmetric(S) return symmetric(S)
@ -91,9 +91,8 @@ def polar_decomposition(T,requested):
return tuple(output) return tuple(output)
def Mises(T_sym,s): def equivalent_Mises(T_sym,s):
d = deviatoric_part(T_sym) return np.sqrt(s*(np.sum(deviatoric_part(T_sym)**2.0)))
return np.sqrt(s*(np.sum(d**2.0)))
class TestMechanics: class TestMechanics:
@ -112,14 +111,14 @@ class TestMechanics:
for i,v in enumerate(np.reshape(vectorized(test_data),vectorized(test_data_flat).shape)): for i,v in enumerate(np.reshape(vectorized(test_data),vectorized(test_data_flat).shape)):
assert np.allclose(single(test_data_flat[i]),v) assert np.allclose(single(test_data_flat[i]),v)
@pytest.mark.parametrize('vectorized,single',[(mechanics.deviatoric_part, deviatoric_part), @pytest.mark.parametrize('vectorized,single',[(mechanics.deviatoric_part, deviatoric_part),
(mechanics.maximum_shear , maximum_shear ), (mechanics.maximum_shear, maximum_shear),
(mechanics.Mises_strain , Mises_strain ), (mechanics.equivalent_stress_Mises, equivalent_stress_Mises),
(mechanics.Mises_stress , Mises_stress ), (mechanics.equivalent_strain_Mises, equivalent_strain_Mises),
(mechanics.rotational_part, rotational_part), (mechanics.rotational_part, rotational_part),
(mechanics.spherical_part , spherical_part ), (mechanics.spherical_part, spherical_part),
(mechanics.stretch_left , stretch_left ), (mechanics.stretch_left, stretch_left),
(mechanics.stretch_right , stretch_right ), (mechanics.stretch_right, stretch_right),
]) ])
def test_vectorize_1_arg(self,vectorized,single): def test_vectorize_1_arg(self,vectorized,single):
epsilon = np.random.rand(self.n,3,3) epsilon = np.random.rand(self.n,3,3)
@ -127,8 +126,8 @@ class TestMechanics:
for i,v in enumerate(np.reshape(vectorized(epsilon_vec),vectorized(epsilon).shape)): for i,v in enumerate(np.reshape(vectorized(epsilon_vec),vectorized(epsilon).shape)):
assert np.allclose(single(epsilon[i]),v) assert np.allclose(single(epsilon[i]),v)
@pytest.mark.parametrize('vectorized,single',[(mechanics.Cauchy,Cauchy), @pytest.mark.parametrize('vectorized,single',[(mechanics.stress_Cauchy, stress_Cauchy),
(mechanics.PK2 ,PK2 ) (mechanics.stress_second_Piola_Kirchhoff, stress_second_Piola_Kirchhoff)
]) ])
def test_vectorize_2_arg(self,vectorized,single): def test_vectorize_2_arg(self,vectorized,single):
P = np.random.rand(self.n,3,3) P = np.random.rand(self.n,3,3)
@ -148,8 +147,8 @@ class TestMechanics:
for i,v in enumerate(np.reshape(vectorized(F_vec,t,m),vectorized(F,t,m).shape)): for i,v in enumerate(np.reshape(vectorized(F_vec,t,m),vectorized(F,t,m).shape)):
assert np.allclose(single(F[i],t,m),v) assert np.allclose(single(F[i],t,m),v)
@pytest.mark.parametrize('function',[mechanics.Cauchy, @pytest.mark.parametrize('function',[mechanics.stress_Cauchy,
mechanics.PK2, mechanics.stress_second_Piola_Kirchhoff,
]) ])
def test_stress_measures(self,function): def test_stress_measures(self,function):
"""Ensure that all stress measures are equivalent for no deformation.""" """Ensure that all stress measures are equivalent for no deformation."""
@ -212,8 +211,8 @@ class TestMechanics:
def test_deviatoric_Mises(self): def test_deviatoric_Mises(self):
"""Ensure that Mises equivalent stress depends only on deviatoric part.""" """Ensure that Mises equivalent stress depends only on deviatoric part."""
x = np.random.rand(self.n,3,3) x = np.random.rand(self.n,3,3)
full = mechanics.Mises_stress(x) full = mechanics.equivalent_stress_Mises(x)
dev = mechanics.Mises_stress(mechanics.deviatoric_part(x)) dev = mechanics.equivalent_stress_Mises(mechanics.deviatoric_part(x))
assert np.allclose(full, assert np.allclose(full,
dev) dev)
@ -229,14 +228,14 @@ class TestMechanics:
"""Ensure that Mises equivalent strain of spherical strain is 0.""" """Ensure that Mises equivalent strain of spherical strain is 0."""
x = np.random.rand(self.n,3,3) x = np.random.rand(self.n,3,3)
sph = mechanics.spherical_part(x,True) sph = mechanics.spherical_part(x,True)
assert np.allclose(mechanics.Mises_strain(sph), assert np.allclose(mechanics.equivalent_strain_Mises(sph),
0.0) 0.0)
def test_Mises(self): def test_Mises(self):
"""Ensure that equivalent stress is 3/2 of equivalent strain.""" """Ensure that equivalent stress is 3/2 of equivalent strain."""
x = np.random.rand(self.n,3,3) x = np.random.rand(self.n,3,3)
assert np.allclose(mechanics.Mises_stress(x)/mechanics.Mises_strain(x), assert np.allclose(mechanics.equivalent_stress_Mises(x)/mechanics.equivalent_strain_Mises(x),
1.5) 1.5)
def test_spherical_no_shear(self): def test_spherical_no_shear(self):