Estimation of Response Expectation Bounds under Parametric P-Boxes by Combining Bayesian Global Optimization with Unscented Transform-Reference-Cited by-同舟云学术

Estimation of Response Expectation Bounds under Parametric P-Boxes by Combining Bayesian Global Optimization with Unscented Transform

Published:2024-06 Issue:2 Volume:10 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Ding Chen¹^ORCID,Dang Chao²^ORCID,Broggi Matteo³^ORCID,Beer Michael⁴^ORCID

Affiliation:

1. Ph.D. Student, Institute for Risk and Reliability, Leibniz Univ. Hannover, Callinstr, 34, Hannover 30167, Germany. ORCID: .

2. Research Assistant, Institute for Risk and Reliability, Leibniz Univ. Hannover, Callinstr, 34, Hannover 30167, Germany (corresponding author). ORCID: .

3. Deputy Head, Institute for Risk and Reliability, Leibniz Univ. Hannover, Callinstr, 34, Hannover 30167, Germany. ORCID: .

4. Professor and Head, Institute for Risk and Reliability, Leibniz Univ. Hannover, Callinstr, 34, Hannover 30167, Germany; Institute of Risk and Uncertainty, Univ. of Liverpool, Peach St., Liverpool L69 7ZF, UK; International Joint Research Center for Resilient Infrastructure and International Joint Research Center for Engineering Reliability and Stochastic Mechanics, Tongji Univ., Shanghai 200092, China. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.RUENG-1169

Reference34 articles.

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3. Bruns M. C. 2006. “Propagation of imprecise probabilities through black box models.” Ph.D. thesis Dept. of Mechanical Engineering Georgia Institute of Technology.

4. Bayesian probabilistic propagation of hybrid uncertainties: Estimation of response expectation function, its variable importance and bounds

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