User manual for the Python interface

Model creation

Variable(*args)

Create a variable base class.

Input(*args)

Create an input variable.

Output(*args)

Create an output variable.

MeshModel(*args)

Create a mesh model base class.

GridMeshModel(*args)

Create a model to build regular meshes.

ImportedMeshModel(*args)

Create a model with imported meshes

PhysicalModel(*args)

Physical model base class.

SymbolicPhysicalModel(*args)

Create a physical model defined by analytical formulas.

SymbolicFieldModel(*args)

Create a physical model defined by analytical formulas and a mesh.

PythonPhysicalModel(*args)

Create a physical model defined by Python code.

PythonFieldModel(*args)

Create a physical model defined by Python code and a mesh.

FMIPhysicalModel(*args)

Physical model defined by a FMI scheme.

DataModel(*args)

Create a data model from an imported dataset.

DataCleaning(*args)

DataModel sample manipulation.

MetaModel(*args)

Metamodel.

Coupling model

CouplingInputFile(*args)

Input file metadata for coupling.

CouplingResourceFile(*args)

Resource file metadata for coupling.

CouplingOutputFile(*args)

Output file metadata for coupling.

CouplingStep(*args)

Coupling step.

CouplingPhysicalModel(*args)

File-exchange based coupling model.

AnsysParser(*args)

Class used to read Ansys project files.

Model evaluation

ModelEvaluation(*args)

Generate a simple evaluation of a model.

FieldModelEvaluation(*args)

Generate the evaluation of a model with mesh.

Optimization

OptimizationAnalysis(*args)

Perform the optimization analysis of a model.

Screening

MorrisAnalysis(*args)

Perform a Morris analysis.

MorrisResult(*args)

Get the result of a Morris analysis.

Calibration

Observations(*args)

Create observations for variables of a model.

CalibrationAnalysis(*args)

Run a calibration analysis.

CalibrationAnalysisResult(*args)

Get the results of a calibration analysis.

Probabilistic studies

Central tendency

MonteCarloAnalysis(*args)

Perform a Monte Carlo central tendency analysis.

FieldMonteCarloAnalysis(*args)

Run a Monte Carlo analysis for models with mesh.

FieldMonteCarloResult(*args)

Get the results of a Monte Carlo analysis with mesh.

TaylorExpansionMomentsAnalysis(*args)

Get the Taylor expansions for moments estimation.

TaylorExpansionMomentsResult(*args)

Get the results of Taylor expansions for moments estimation.

Sensitivity analysis

SobolAnalysis(*args)

Run a Sobol sensitivity analysis.

SobolResult(*args)

Get the results of a Sobol sensitivity analysis.

SRCAnalysis(*args)

Run a SRC sensitivity analysis.

SRCResult(*args)

Get the results of a SRC sensitivity analysis.

Reliability model

LimitState(*args)

Create a limit state.

Reliability analysis

MonteCarloReliabilityAnalysis(*args)

Run a reliability analysis using the Monte Carlo method.

FORMImportanceSamplingAnalysis(*args)

Run a FORM analysis followed by an importance sampling for reliability analysis.

ImportanceSamplingAnalysis(*args)

Run importance sampling for reliability analysis.

FORMAnalysis(*args)

Process a reliability analysis using the FORM method.

SORMAnalysis(*args)

Run a reliability analysis using the SORM method.

SimulationReliabilityResult(*args)

Get simulation results from a reliability analysis using Monte Carlo or Importance Sampling method.

Design of experiments

DesignOfExperiment(*args)

Design of experiments base class.

FixedDesignOfExperiment(*args)

Create a fixed design of experiments.

GridDesignOfExperiment(*args)

Create a grid design of experiments.

ImportedDesignOfExperiment(*args)

Create a design of experiments, using an imported design.

ProbabilisticDesignOfExperiment(*args)

Create a probabilistic design of experiments.

Data analysis

DataAnalysis(*args)

Create a data analysis of a design of experiments.

DataAnalysisResult(*args)

Get the results of a data analysis.

InferenceAnalysis(*args)

Perform a Kolmogorov goodness-of-fit test for 1-D continuous distributions.

InferenceResult(*args)

Get the results of an inference analysis.

FittingTestResult(*args)

Get the results of a fitting test.

CopulaInferenceAnalysis(*args)

Perform a dependence inference analysis.

CopulaInferenceResult(*args)

Get the results of a dependence inference analysis.

CopulaInferenceSetResult(*args)

Dependence inference result for a set of variables.

Metamodel

MetaModelAnalysis(*args, **kwargs)

Create a base class for the creation of meta models.

FunctionalChaosAnalysis(*args)

Create a Functional chaos analysis.

KrigingAnalysis(*args)

Create a Kriging analysis.

MetaModelAnalysisResult(*args)

Create the base class for a metamodel analysis result.

FunctionalChaosAnalysisResult(*args)

Get the results for a Functional chaos analysis.

KrigingAnalysisResult(*args)

Get the results of a Kriging analysis.

MetaModelValidationResult(*args)

Create the base class for the results of a metamodel validation.

Study storage

Study(*args)

Create the class to store a study.

Function caching

FileMemoizeFunction(*args)

Function proxy with a CSV file cache.