Stochastic emulators (generalized lambda models and stochastic PCE) approximate conditional response distributions to break the double-loop structure in RBDO and deliver computational gains in high dimensions over Kriging.
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Introduces reliability analysis for stochastic models using generalized lambda models and stochastic polynomial chaos expansions as emulators, validated on analytical, beam, and wind turbine cases.
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High-dimensional reliability-based design optimization using stochastic emulators
Stochastic emulators (generalized lambda models and stochastic PCE) approximate conditional response distributions to break the double-loop structure in RBDO and deliver computational gains in high dimensions over Kriging.
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Reliability analysis for non-deterministic limit-states using stochastic emulators
Introduces reliability analysis for stochastic models using generalized lambda models and stochastic polynomial chaos expansions as emulators, validated on analytical, beam, and wind turbine cases.