User manual for the Python interface¶
Model creation¶
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Create a variable base class.  | 
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Create an input variable.  | 
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Create an output variable.  | 
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Create a mesh model base class.  | 
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Create a model to build regular meshes.  | 
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Create a model with imported meshes  | 
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Physical model base class.  | 
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Create a physical model defined by analytical formulas.  | 
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Create a physical model defined by analytical formulas and a mesh.  | 
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Create a physical model defined by Python code.  | 
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Create a physical model defined by Python code and a mesh.  | 
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Physical model defined by a FMI scheme.  | 
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Create a data model from an imported dataset.  | 
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DataModel sample manipulation.  | 
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Metamodel.  | 
Coupling model¶
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Input file metadata for coupling.  | 
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Resource file metadata for coupling.  | 
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Output file metadata for coupling.  | 
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Coupling step.  | 
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File-exchange based coupling model.  | 
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Class used to read Ansys project files.  | 
Model evaluation¶
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Generate a simple evaluation of a model.  | 
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Generate the evaluation of a model with mesh.  | 
Optimization¶
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Perform the optimization analysis of a model.  | 
Perform the multi-objective optimization analysis of a model.  | 
Screening¶
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Perform a Morris analysis.  | 
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Get the result of a Morris analysis.  | 
Calibration¶
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Create observations for variables of a model.  | 
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Run a calibration analysis.  | 
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Get the results of a calibration analysis.  | 
Probabilistic studies¶
Central tendency¶
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Perform a Monte Carlo central tendency analysis.  | 
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Run a Monte Carlo analysis for models with mesh.  | 
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Get the results of a Monte Carlo analysis with mesh.  | 
Get the Taylor expansions for moments estimation.  | 
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Get the results of Taylor expansions for moments estimation.  | 
Sensitivity analysis¶
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Run a Sobol sensitivity analysis.  | 
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Get the results of a Sobol sensitivity analysis.  | 
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Run a SRC sensitivity analysis.  | 
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Get the results of a SRC sensitivity analysis.  | 
Reliability model¶
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Create a limit state.  | 
Reliability analysis¶
Run a reliability analysis using the Monte Carlo method.  | 
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Run a FORM analysis followed by an importance sampling for reliability analysis.  | 
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Run importance sampling for reliability analysis.  | 
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Process a reliability analysis using the FORM method.  | 
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Run a reliability analysis using the SORM method.  | 
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Get simulation results from a reliability analysis using Monte Carlo or Importance Sampling method.  | 
Design of experiments¶
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Design of experiments base class.  | 
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Create a fixed design of experiments.  | 
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Create a grid design of experiments.  | 
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Create a design of experiments, using an imported design.  | 
Create a probabilistic design of experiments.  | 
Data analysis¶
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Create a data analysis of a design of experiments.  | 
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Get the results of a data analysis.  | 
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Perform a Kolmogorov goodness-of-fit test for 1-D continuous distributions.  | 
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Get the results of an inference analysis.  | 
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Get the results of a fitting test.  | 
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Perform a dependence inference analysis.  | 
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Get the results of a dependence inference analysis.  | 
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Dependence inference result for a set of variables.  | 
Metamodel¶
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Create a base class for the creation of meta models.  | 
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Create the base class for a metamodel analysis result.  | 
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Create the base class for the results of a metamodel validation.  | 
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Polynomial stepwise regression.  | 
Get the results of a Linear model analysis.  | 
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Create a Functional chaos analysis.  | 
Get the results for a Functional chaos analysis.  | 
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Create a Kriging analysis.  | 
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Get the results of a Kriging analysis.  | 
Study storage¶
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Create the class to store a study.  | 
Function caching¶
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Function proxy with a CSV file cache.  |