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