class Kratos_Execute_Test:
def __init__(self, ProjectParameters):
self.ProjectParameters = ProjectParameters
self.echo_level = self.ProjectParameters["problem_data"][
"echo_level"].GetInt()
self.parallel_type = self.ProjectParameters["problem_data"][
"parallel_type"].GetString()
## Import parallel modules if needed
if (self.parallel_type == "MPI"):
import KratosMultiphysics.mpi as mpi
import KratosMultiphysics.MetisApplication as MetisApplication
import KratosMultiphysics.TrilinosApplication as TrilinosApplication
self.main_model_part = KratosMultiphysics.ModelPart(
self.ProjectParameters["problem_data"]
["model_part_name"].GetString())
self.main_model_part.ProcessInfo.SetValue(
KratosMultiphysics.DOMAIN_SIZE,
self.ProjectParameters["problem_data"]["domain_size"].GetInt())
self.Model = {
self.ProjectParameters["problem_data"]["model_part_name"].GetString(
):
self.main_model_part
}
# Construct the solver (main setting methods are located in the solver_module)
import python_solvers_wrapper_contact_structural
self.solver = python_solvers_wrapper_contact_structural.CreateSolver(
self.main_model_part, ProjectParameters)
# Add variables (always before importing the model part) (it must be integrated in the ImportModelPart)
# If we integrate it in the model part we cannot use combined solvers
self.solver.AddVariables()
# Read model_part (note: the buffer_size is set here) (restart can be read here)
self.solver.ImportModelPart()
# Add dofs (always after importing the model part) (it must be integrated in the ImportModelPart)
# If we integrate it in the model part we cannot use combined solvers
self.solver.AddDofs()
# Build sub_model_parts or submeshes (rearrange parts for the application of custom processes)
# #Get the list of the submodel part in the object Model
for i in range(self.ProjectParameters["solver_settings"]
["processes_sub_model_part_list"].size()):
part_name = self.ProjectParameters["solver_settings"][
"processes_sub_model_part_list"][i].GetString()
self.Model.update(
{part_name: self.main_model_part.GetSubModelPart(part_name)})
# Obtain the list of the processes to be applied
self.list_of_processes = process_factory.KratosProcessFactory(
self.Model).ConstructListOfProcesses(
self.ProjectParameters["constraints_process_list"])
self.list_of_processes += process_factory.KratosProcessFactory(
self.Model).ConstructListOfProcesses(
self.ProjectParameters["loads_process_list"])
if (ProjectParameters.Has("list_other_processes") == True):
self.list_of_processes += process_factory.KratosProcessFactory(
self.Model).ConstructListOfProcesses(
self.ProjectParameters["list_other_processes"])
if (ProjectParameters.Has("json_check_process") == True):
self.list_of_processes += process_factory.KratosProcessFactory(
self.Model).ConstructListOfProcesses(
self.ProjectParameters["json_check_process"])
if (ProjectParameters.Has("json_output_process") == True):
self.list_of_processes += process_factory.KratosProcessFactory(
self.Model).ConstructListOfProcesses(
self.ProjectParameters["json_output_process"])
if (
ProjectParameters.Has("contact_process_list") == True
): # NOTE: Always add the contact processes the last one (to avoid problems imposing displacements)
self.list_of_processes += process_factory.KratosProcessFactory(
self.Model).ConstructListOfProcesses(
self.ProjectParameters["contact_process_list"])
for process in self.list_of_processes:
process.ExecuteInitialize()
# ### START SOLUTION ####
self.computing_model_part = self.solver.GetComputingModelPart()
self.solver.AddProcessesList(self.list_of_processes)
# ### Output settings start ####
self.problem_path = os.getcwd()
self.problem_name = self.ProjectParameters["problem_data"][
"problem_name"].GetString()
# ### Output settings start ####
self.output_post = ProjectParameters.Has("output_configuration")
if (self.output_post == True):
if (self.parallel_type == "OpenMP"):
from gid_output_process import GiDOutputProcess
output_settings = ProjectParameters["output_configuration"]
self.gid_output = GiDOutputProcess(self.computing_model_part,
self.problem_name,
output_settings)
elif (self.parallel_type == "MPI"):
from gid_output_process_mpi import GiDOutputProcessMPI
output_settings = ProjectParameters["output_configuration"]
self.gid_output = GiDOutputProcessMPI(
self.computing_model_part, self.problem_name,
output_settings)
self.gid_output.ExecuteInitialize()
# Sets strategies, builders, linear solvers, schemes and solving info, and fills the buffer
self.solver.Initialize()
self.solver.SetEchoLevel(0) # Avoid to print anything
if (self.output_post == True):
self.gid_output.ExecuteBeforeSolutionLoop()
def Solve(self):
for process in self.list_of_processes:
process.ExecuteBeforeSolutionLoop()
# #Stepping and time settings (get from process info or solving info)
# Delta time
delta_time = self.ProjectParameters["problem_data"][
"time_step"].GetDouble()
# Start step
self.main_model_part.ProcessInfo[KratosMultiphysics.TIME_STEPS] = 0
# Start time
time = self.ProjectParameters["problem_data"]["start_time"].GetDouble()
# End time
end_time = self.ProjectParameters["problem_data"][
"end_time"].GetDouble()
# Solving the problem (time integration)
while (time <= end_time):
time = time + delta_time
self.main_model_part.ProcessInfo[
KratosMultiphysics.TIME_STEPS] += 1
self.main_model_part.CloneTimeStep(time)
for process in self.list_of_processes:
process.ExecuteInitializeSolutionStep()
if (self.output_post == True):
self.gid_output.ExecuteInitializeSolutionStep()
self.solver.Clear()
self.solver.Solve()
if (self.output_post == True):
self.gid_output.ExecuteFinalizeSolutionStep()
for process in self.list_of_processes:
process.ExecuteFinalizeSolutionStep()
for process in self.list_of_processes:
process.ExecuteBeforeOutputStep()
if (self.output_post == True):
if self.gid_output.IsOutputStep():
self.gid_output.PrintOutput()
for process in self.list_of_processes:
process.ExecuteAfterOutputStep()
if (self.output_post == True):
self.gid_output.ExecuteFinalize()
for process in self.list_of_processes:
process.ExecuteFinalize()
process.ExecuteFinalizeSolutionStep()
# processes to be executed before witting the output
for process in list_of_processes:
process.ExecuteBeforeOutputStep()
# write output results GiD: (frequency writing is controlled internally)
if (gid_output.IsOutputStep()):
gid_output.PrintOutput()
# processes to be executed after witting the output
for process in list_of_processes:
process.ExecuteAfterOutputStep()
# Ending the problem (time integration finished)
gid_output.ExecuteFinalize()
for process in list_of_processes:
process.ExecuteFinalize()
print("::[KSM Simulation]:: Analysis -END- ")
print(" ")
# Check solving information for any problem
#~ solver.InfoCheck() # InfoCheck not implemented yet.
#### END SOLUTION ####
# Measure process time
tfp = timer.clock()
# Measure wall time
class ApplyEmbeddedSkinVisualizationProcess(KratosMultiphysics.Process):
def __init__(self, Model, settings):
KratosMultiphysics.Process.__init__(self)
default_parameters = KratosMultiphysics.Parameters("""
{
"parallel_type" : "OpenMP",
"model_part_name" : "origin_model_part",
"visualization_model_part_name" : "origin_model_part_visualization",
"shape_functions" : "standard",
"reform_model_part_at_each_time_step" : false,
"visualization_variables" : ["VELOCITY","PRESSURE"],
"output_configuration" : {
"result_file_configuration" : {
"gidpost_flags" : {
"GiDPostMode" : "GiD_PostBinary",
"WriteDeformedMeshFlag" : "WriteDeformed",
"WriteConditionsFlag" : "WriteConditions",
"MultiFileFlag" : "SingleFile"
},
"file_label" : "time",
"output_control_type" : "time",
"output_frequency" : 0.1,
"body_output" : true,
"node_output" : false,
"skin_output" : false,
"nodal_results" : []
},
"point_data_configuration" : []
}
} """)
settings.ValidateAndAssignDefaults(default_parameters)
# Get the origin model part
self.origin_model_part = Model[settings["model_part_name"].GetString()]
# Set up the visualization model part
visualization_buffer_size = 1
self.visualization_model_part = Model.CreateModelPart(
settings["visualization_model_part_name"].GetString(),
visualization_buffer_size)
self.visualization_model_part.ProcessInfo.SetValue(
KratosMultiphysics.DOMAIN_SIZE,
self.origin_model_part.ProcessInfo[KratosMultiphysics.DOMAIN_SIZE])
# Check that the nodal results array is empty
if (settings["output_configuration"]["result_file_configuration"]
["nodal_results"].size() != 0):
error_msg = "The nodal_results field in output_configuration is not empty.\n Add the variables in the visualization_variables field instead."
raise Exception(error_msg)
# Add the visualization model part variables to the visualization model part.
# Add them to the nodal_results GiD output process list as well.
for i_var in range(0, settings["visualization_variables"].size()):
variable_name = settings["visualization_variables"][
i_var].GetString()
settings["output_configuration"]["result_file_configuration"][
"nodal_results"].Append(variable_name)
self.visualization_model_part.AddNodalSolutionStepVariable(
KratosMultiphysics.KratosGlobals.GetVariable(variable_name))
# Set an auxilar Kratos Parameters object to build the skin visualization process
aux_params = KratosMultiphysics.Parameters("""{}""")
aux_params.AddValue("shape_functions", settings["shape_functions"])
aux_params.AddValue("visualization_variables",
settings["visualization_variables"])
aux_params.AddValue("reform_model_part_at_each_time_step",
settings["reform_model_part_at_each_time_step"])
self.EmbeddedSkinVisualizationProcess = KratosFluid.EmbeddedSkinVisualizationProcess(
self.origin_model_part, self.visualization_model_part, aux_params)
# Set the output variables and build the GiD output process
if (settings["parallel_type"].GetString() == "OpenMP"):
from gid_output_process import GiDOutputProcess
self.gid_output = GiDOutputProcess(
self.visualization_model_part,
settings["visualization_model_part_name"].GetString(),
settings["output_configuration"])
elif (settings["parallel_type"].GetString() == "MPI"):
from gid_output_process_mpi import GiDOutputProcessMPI
self.gid_output = GiDOutputProcessMPI(
self.visualization_model_part,
settings["visualization_model_part_name"].GetString(),
settings["output_configuration"])
def ExecuteInitialize(self):
self.gid_output.ExecuteInitialize()
self.EmbeddedSkinVisualizationProcess.ExecuteInitialize()
def ExecuteBeforeSolutionLoop(self):
self.EmbeddedSkinVisualizationProcess.ExecuteBeforeSolutionLoop()
self.gid_output.ExecuteBeforeSolutionLoop()
def ExecuteInitializeSolutionStep(self):
# Set time in case the GiD process control output is time
self.visualization_model_part.ProcessInfo[
KratosMultiphysics.TIME] = self.origin_model_part.ProcessInfo[
KratosMultiphysics.TIME]
self.EmbeddedSkinVisualizationProcess.ExecuteInitializeSolutionStep()
self.gid_output.ExecuteInitializeSolutionStep()
def ExecuteFinalizeSolutionStep(self):
self.EmbeddedSkinVisualizationProcess.ExecuteFinalizeSolutionStep()
self.gid_output.ExecuteInitializeSolutionStep()
def ExecuteBeforeOutputStep(self):
self.EmbeddedSkinVisualizationProcess.ExecuteBeforeOutputStep()
if (self.gid_output.IsOutputStep()):
self.gid_output.PrintOutput()
def ExecuteFinalize(self):
self.EmbeddedSkinVisualizationProcess.ExecuteFinalize()
self.gid_output.ExecuteFinalize()