The work develops manifold-NARX and functional NARX surrogates that accurately estimate first-passage probabilities in stochastic dynamical systems by embedding physical structure and functional features.
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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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Time-variant reliability using time-dependent surrogate models
The work develops manifold-NARX and functional NARX surrogates that accurately estimate first-passage probabilities in stochastic dynamical systems by embedding physical structure and functional features.
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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.