ProbabilitySimulationAlgorithmFactory

class ProbabilitySimulationAlgorithmFactory

Methods

buildFORMIS(problem, nearestPointAlgorithm)	Creates a FORM-IS algorithm.
buildMonteCarlo(problem)	Creates a Monte-Carlo algorithm.

__init__()

Creates a ProbabilitySimulationAlgorithm algorithm.

buildFORMIS(problem, nearestPointAlgorithm)

Creates a FORM-IS algorithm.

We first create a FORM object based on the AbdoRackwitz and run it to get the design point in the standard space. Then we create an ImportanceSamplingExperiment based on the gaussian distribution, centered on the design point. Finally, we create a ProbabilitySimulationAlgorithm.

Parameters:

problemot.ReliabilityBenchmarkProblem

The problem.

nearestPointAlgorithmot.OptimizationAlgorithm

Optimization algorithm used to search the design point.

Returns:

algoot.ProbabilitySimulationAlgorithm

The FORM-IS algorithm for estimating the probability.

buildMonteCarlo(problem)

Creates a Monte-Carlo algorithm.

We create a MonteCarloExperiment and we create a ProbabilitySimulationAlgorithm based on the problem event.

Parameters:

problemot.ReliabilityBenchmarkProblem

The problem.

Returns:

algoot.ProbabilitySimulationAlgorithm

The Monte-Carlo algorithm for estimating the probability.