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Estimation of Response Expectation Bounds under Parametric P-Boxes by Combining Bayesian Global Optimization with Unscented Transform
Publisher: ASCE
Abstract: In engineering analysis, propagating parametric probability boxes (p-boxes) remains a challenge because a computationally expensive nested solution scheme is involved. To tackle this challenge, this paper proposes a novel ...
Estimation of Failure Probability Function under Imprecise Probabilities by Active Learning–Augmented Probabilistic Integration
Publisher: ASCE
Abstract: Imprecise probabilities have gained increasing popularity for quantitatively modeling uncertainty under incomplete information in various fields. However, it is still a computationally challenging task to propagate imprecise ...