def _BuildVariableList(self):
with tf.name_scope("Variables"):
with tf.name_scope("LinearElasticModelVariables"):
var_type_le = getattr(ConLawL.ModelVariables(), self.le_model_type)
self.vars_le = var_type_le(self.init_var_values).Variables
self.vars_le_plot = var_type_le(self.init_var_values).Vars4Print
self.vars_le_limit = var_type_le.ConstrainVariables(self.vars_le, self.init_var_values)
with tf.name_scope("DamageModelVariables"):
if self.bezier_energy_approach == "On" and self.bezier_applied =="Yes":
var_type_nl = getattr(ConLawL.ModelVariables(), self.damage_model_type + "WithFractureEnergy")
self.vars_nl_plot = var_type_nl(self.init_var_values).Vars4Print
if bezier_train_controllers =="No":
self.vars_nl_plot = self.vars_nl_plot[:-3]
elif self.bezier_energy_approach =="Off" and self.bezier_applied=="Yes":
var_type_nl = getattr(ConLawL.ModelVariables(), self.damage_model_type)
self.vars_nl_plot = var_type_nl(self.init_var_values).Vars4Print
else:
if self.bezier_applied == "Yes":
print(" WARNING: Error in ModelSettings.Json !!!", "\n",\
"Please define the comp_energy_approach in ModelSettings.json as On or Off!")
sys.exit()
else:
var_type_nl = getattr(ConLawL.ModelVariables(), self.damage_model_type)
self.vars_nl_plot = var_type_nl(self.init_var_values).Vars4Print
self.vars_nl = var_type_nl(self.init_var_values).Variables
if self.bezier_applied == "Yes":
self.vars_nl_limit = var_type_nl.ConstrainVariables(self.vars_nl, self.vars_le_limit, self.init_var_values)
else:
self.vars_nl_limit = var_type_nl.ConstrainVariables(vars_nl)
def _CallPredictedStresses(self):
with tf.name_scope("LinearElasticLaw"):
le_model = getattr(ConLawL.ConstitutiveLaw(), self.le_model_name)
with tf.name_scope('PredictedStress'):
self.SIG_PRED_LE = le_model.GetStress(self.EPS, self.vars_le_limit)
SIG_EFF = le_model.GetStress(self.EPS, self.vars_le_limit)
with tf.name_scope("DamageLaw"):
nl_model = getattr(ConLawL.ConstitutiveLaw(), self.damage_model_name)
with tf.name_scope('PredictedStress'):
self.SIG_PRED_NL = nl_model(SIG_EFF, self.vars_le_limit, self.vars_nl_limit).GetStress
def _ConstructSummaryWriter(self):
with tf.name_scope('AllSummaries'):
sum_writer_le = getattr(ConLawL.ModelVariables(), self.le_model_type + "Summary")
sum_writer_le(self.vars_le_limit)
if self.bezier_applied == "Yes" and self.bezier_energy_approach == "On":
sum_writer_nl = getattr(ConLawL.ModelVariables(), self.damage_model_type + \
"WithFractureEnergy" + "Summary")
else:
sum_writer_nl = getattr(ConLawL.ModelVariables(), self.damage_model_type + \
"Summary")
sum_writer_nl(self.vars_nl_limit)
def _ImportTrainingData(self):
Inputs = ConLawL.TrainingInput(self.input_settings)
self.eps_le = Inputs.GetStrainsLinearElastic
self.sig_le = Inputs.GetStressesLinearElastic
#self.eps_nl = Inputs.GetStrainsNonlinear
#self.sig_nl = Inputs.GetStressesNonlinear
self.eps_le_train, self.eps_le_test, self.sig_le_train, self.sig_le_test = \
Inputs.SplitTrainingAndTesting(self.eps_le, self.sig_le)
def _BuildVariableList(self):
with tf.name_scope("Variables"):
with tf.name_scope("LinearElasticModelVariables"):
var_type_le = getattr(ConLawL.ModelVariables(),
self.le_model_type)
self.vars_le = var_type_le(self.init_var_values).Variables
self.vars_le_plot = var_type_le(
self.init_var_values).Vars4Print
self.vars_le_limit = var_type_le.ConstrainVariables(
self.vars_le, self.init_var_values)
def _ConstructSummaryWriter(self):
with tf.name_scope('AllSummaries'):
sum_writer_le = getattr(ConLawL.ModelVariables(),
self.le_model_type + "Summary")
sum_writer_le(self.vars_le_limit)