pystra.reliability.analysis.AnalysisObject

Use it: User guide · Worked example · Theory

class AnalysisObject(model, limit_state, options=None)

Bases: object

Base class for reliability analyses.

Stores the stochastic model, limit state and settings, and provides init_run, which computes the Nataf correlation and the isoprobabilistic transformation before each run.

Parameters:

• model (StochasticModel) – The probabilistic model.

• limit_state (LimitState | None) – The limit-state function.

• options (FORMOptions | SORMOptions | SimulationOptions | None) – The analysis’s settings, an instance of its _options_type; the defaults if omitted.

model

Type:

StochasticModel

limitstate

Type:

LimitState

options

The frozen settings.

transform

Type:

Transformation

results_valid

True after a successful run().

Type:

bool

Methods

init_run

Initialize the model's isoprobabilistic transformation.

init_run()

Initialize the model’s isoprobabilistic transformation.

Uses the explicit copula or calibrates the legacy Gaussian Nataf correlation. Must be called at the start of every run() method in subclasses.

Return type:

None