AK-Gibbs: An active learning Kriging model based on Gibbs importance sampling algorithm for small failure probabilities-Reference-Cited by-同舟云学术

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AK-Gibbs: An active learning Kriging model based on Gibbs importance sampling algorithm for small failure probabilities

Published:2024-06 Issue: Volume:426 Page:116992
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Zhang Wei,Zhao Ziyi,Xu Huanwei,Li Xiaoyu,Wang Zhonglai^ORCID

Publisher

Elsevier BV

Reference58 articles.

1. An accelerated active learning Kriging model with the distance-based subdomain and a new stopping criterion for reliability analysis;Zhang;Reliab. Eng. Syst. Safe.,2023

2. Advanced solution strategies for time-dependent reliability based design optimization;Shi;Comput. Methods Appl. Mech. Engrg.,2020

3. Augmented first-order reliability method for estimating fuzzy failure probabilities;Valdebenito;Struct. Safe.,2023

4. Second-order reliability methods: a review and comparative study;Hu;Struct. Multidiscip. Optim.,2021

5. A box moments approach for the time-variant hybrid reliability assessment;Zhao;Struct. Multidiscip. Optim.,2021

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