Using the Waarts four-branch serial system

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

import openturns as ot
import openturns.viewer as otv
import otbenchmark as otb
problem = otb.FourBranchSerialSystemReliability()
event = problem.getEvent()
g = event.getFunction()
inputVector = event.getAntecedent()
distribution = inputVector.getDistribution()

Draw isolines

lowerBound = ot.Point([-5.0, -5.0])
upperBound = ot.Point([5.0, 5.0])
nbPoints = [100, 100]
_ = otv.View(g.draw(lowerBound, upperBound, nbPoints))
y as a function of (x0,x1)
sampleSize = 500
drawEvent = otb.DrawEvent(event)
cloud = drawEvent.drawSampleCrossCut(sampleSize)
_ = otv.View(cloud)
Points X s.t. g(X) < 0.0

Draw the limit state surface

bounds = ot.Interval(lowerBound, upperBound)
graph = drawEvent.drawLimitStateCrossCut(bounds)
graph.add(cloud)
_ = otv.View(graph)
Limit state surface

Fill the event domain with a color

_ = otv.View(drawEvent.fillEventCrossCut(bounds))
Domain where g(x) < 0.0
otv.View.ShowAll()

Total running time of the script: (0 minutes 2.239 seconds)