AxialStressedBeam¶
- class AxialStressedBeam¶
 Data class for the axial stressed beam example.
- 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)
- distributionJointDistribution
 The joint distribution of the input parameters.
Examples
>>> from openturns.usecases import stressed_beam >>> # Load the axial stressed beam >>> sm = stressed_beam.AxialStressedBeam()
- __init__()¶
 
Examples using the class¶
Axial stressed beam : comparing different methods to estimate a probability
Axial stressed beam : comparing different methods to estimate a probability
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
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