def test_behaviour(self):
h = mgis_bv.Hypothesis.Tridimensional
b = self.__get_behaviour(h)
# path to the test library
version = os.environ['MGIS_TEST_TFEL_VERSION']
self.assertTrue(b.behaviour == "TensorialExternalStateVariableTest",
"invalid behaviour name")
self.assertTrue(b.hypothesis == h, "invalid hypothesis")
self.assertTrue(b.source == "TensorialExternalStateVariableTest.mfront",
"invalid source")
self.assertTrue(b.tfel_version == version, "invalid TFEL version")
self.assertTrue(mgis_bv.getArraySize(b.esvs, b.hypothesis) == 55,
"invalid array size for the external state variables")
esvnames = ["Temperature", "v_esv", "v2_esv[0]", "v2_esv[1]", "s_esv",
"s2_esv[0]", "s2_esv[1]", "t_esv", "t2_esv[0]", "t2_esv[1]"]
esvtypes = [mgis_bv.VariableType.SCALAR, mgis_bv.VariableType.VECTOR,
mgis_bv.VariableType.VECTOR, mgis_bv.VariableType.VECTOR,
mgis_bv.VariableType.STENSOR, mgis_bv.VariableType.STENSOR,
mgis_bv.VariableType.STENSOR, mgis_bv.VariableType.TENSOR,
mgis_bv.VariableType.TENSOR, mgis_bv.VariableType.TENSOR]
esvsizes = [1, 3, 3, 3, 6, 6, 6, 9, 9, 9]
for i in range(0, 10):
self.assertTrue(b.esvs[i].name == esvnames[i],
"invalid external state variable name")
self.assertTrue(b.esvs[i].type == esvtypes[i],
"invalid external variable type")
self.assertTrue(mgis_bv.getVariableSize(b.esvs[i], b.hypothesis) == esvsizes[i],
"invalid external variable type")
pass
def get_tangent_block_sizes(self):
return [tuple([mgis_bv.getVariableSize(tt, self.hypothesis) for tt in t]) \
for t in self.behaviour.tangent_operator_blocks]
def get_flux_sizes(self):
return [
mgis_bv.getVariableSize(svar, self.hypothesis)
for svar in self.behaviour.thermodynamic_forces
]
def get_gradient_sizes(self):
return [
mgis_bv.getVariableSize(svar, self.hypothesis)
for svar in self.behaviour.gradients
]
def get_internal_state_variable_sizes(self):
return [
mgis_bv.getVariableSize(svar, self.hypothesis)
for svar in self.behaviour.internal_state_variables
]
def get_material_property_sizes(self):
return [
mgis_bv.getVariableSize(svar, self.hypothesis)
for svar in self.behaviour.mps
]
