AxialStressedBeam

class AxialStressedBeam

Data class for the axial stressed beam example.

Examples

>>> from openturns.usecases import stressed_beam
>>> # Load the axial stressed beam
>>> sm = stressed_beam.AxialStressedBeam()
Attributes:
dimThe dimension of the problem

dim=2.

DConstant

Diameter D = 0.02 (m)

modelSymbolicFunction

The limit state function.

muRConstant

muR=3.0e6, yield strength mean

sigmaRConstant

sigmaR = 3.0e5, yield strength variance

distribution_RLogNormalMuSigma distribution of the yield strength

ot.LogNormalMuSigma(muR, sigmaR, 0.0).getDistribution()

muFConstant

muF=750.0, traction load mean

sigmaFConstant

sigmaR = 50.0, traction load variance

distribution_FNormal distribution of the traction load

ot.Normal(muF, sigmaF)

distributionComposedDistribution

The joint distribution of the inpput parameters.

__init__()

Examples using the class

Estimate a probability with Monte Carlo

Estimate a probability with Monte Carlo

Estimate a probability with Monte-Carlo on axial stressed beam: a quick start guide to reliability

Estimate a probability with Monte-Carlo on axial stressed beam: a quick start guide to reliability

Axial stressed beam : comparing different methods to estimate a probability

Axial stressed beam : comparing different methods to estimate a probability

Cross Entropy Importance Sampling

Cross Entropy Importance Sampling