FourBranchSerialSystemReliability

class FourBranchSerialSystemReliability

Methods

computeBeta()	Return the beta of the reliability problem.
getEvent()	Return the event.
getName()	Return the name of the problem.
getProbability()	Return the probability.
toFullString()	Convert the object into a string, with full details.

__init__()

Creates the four-branch serial system from Waarts.

References

• Waarts, P.-H. (2000). Structural reliability using finite element methods: an appraisal of DARS: Directional Adaptive Response Surface Sampling. Ph. D. thesis, Technical University of Delft, The Netherlands. Pages 58, 69, 160.

• Thèse Vincent Dubourg 2011, Méta-modèles adaptatifs pour l’analyse de fiabilité et l’optimisation sous contrainte fiabiliste, section “A two-dimensional four-branch serial system”, page 182

Examples

>>> import otbenchmark as otb
>>> problem = otb.FourBranchSerialSystemReliability()

computeBeta()

Return the beta of the reliability problem.

This is the quantile of the probability of a standard gaussian distribution.

Parameters:

None.

Returns:

beta: float

The beta of the problem.

getEvent()

Return the event.

Parameters:

None.

Returns:

event: ot.ThresholdEvent

The event.

getName()

Return the name of the problem.

Parameters:

None.

Returns:

name: str

The name of the problem.

getProbability()

Return the probability.

Parameters:

None.

Returns:

probability: float

The probability of the event.

toFullString()

Convert the object into a string, with full details.

Parameters:

None.

Returns:

s: str

The string of the problem.