KratosMultiphysics
KRATOS Multiphysics (Kratos) is a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface.
Classes | Variables
decompressed_material_triaxial_test Namespace Reference

Classes

class  DecompressedMaterialTriaxialTest
 

Variables

 parameters = KratosMultiphysics.Parameters(parameter_file.read())
 
string machine_learning_file = "machine_learning_data.grf"
 
 machine_learning_data = open(machine_learning_file, 'w')
 
list confinement_pressure_list = [0.05, 0.1]
 
int num_of_discretization_points = 10
 
bool print_images = False
 
 number_of_triaxials = len(confinement_pressure_list)
 
list simulation_number_list = [i for i in range(1, number_of_triaxials + 1)]
 
 model = KratosMultiphysics.Model()
 

Variable Documentation

◆ confinement_pressure_list

list decompressed_material_triaxial_test.confinement_pressure_list = [0.05, 0.1]

◆ machine_learning_data

decompressed_material_triaxial_test.machine_learning_data = open(machine_learning_file, 'w')

◆ machine_learning_file

string decompressed_material_triaxial_test.machine_learning_file = "machine_learning_data.grf"

◆ model

decompressed_material_triaxial_test.model = KratosMultiphysics.Model()

◆ num_of_discretization_points

int decompressed_material_triaxial_test.num_of_discretization_points = 10

◆ number_of_triaxials

decompressed_material_triaxial_test.number_of_triaxials = len(confinement_pressure_list)

◆ parameters

decompressed_material_triaxial_test.parameters = KratosMultiphysics.Parameters(parameter_file.read())

◆ print_images

bool decompressed_material_triaxial_test.print_images = False

◆ simulation_number_list

list decompressed_material_triaxial_test.simulation_number_list = [i for i in range(1, number_of_triaxials + 1)]