Copula‐based importance sampling method for efficient slope reliability analysis
Rattachement africain : cn, cy. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Abstract Efficient slope reliability analysis that accounts for the interdependencies of random variables is challenging. In this study, an efficient reliability method is proposed based on importance sampling (IS) and copulas. First, the IS method based on the design point is introduced to construct the marginal IS density. Copulas are subsequently adopted to capture the interdependencies and establish both the initial joint distributions and the joint IS densities of random variable pairs. The IS algorithm is modified to consider the dependencies through not only the estimation of the probability distribution but also random sampling. Finally, a framework of the copula‐based IS method is constructed. The applicability, accuracy, efficiency, and robustness of the proposed method were validated by a classical slope case. The results showed that with the proposed method, slope reliability could be efficiently assessed with a relatively high accuracy. The dependencies of the variables significantly affected the IS and final slope reliability, whereas the IS density had a significantly lower effect. The proposed method combines the advantages of IS and copulas well. Interdependencies of the variables can be properly characterized during sampling. Moreover, the proposed method was shown to be robust regardless of the system failure probability level. It can be further applied to improve the random finite element method in the future.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Copula‐based importance sampling method for efficient slope reliability analysis
- Date Crossref
- 12/05/2023
- Éditeur
- Wiley
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
-
Hubei University of Technology Innovation Demonstration Base of Ecological Environment Geotechnical and Ecological Restoration of Rivers and Lakes pays non établi dans la noticeUniversité ou école supérieure
-
Wuhan University pays non établi dans la noticeUniversité ou école supérieure
-
Hubei Water Resources Research Institute pays non établi dans la noticeStructure de recherche
-
Hubei Provincial Water Resources and Hydropower Planning Survey and Design Institute pays non établi dans la noticeInstitution
-
European University Cyprus Department of Computer Science and Engineering pays non établi dans la noticeUniversité ou école supérieure
-
School of Civil Engineering pays non établi dans la noticeUniversité ou école supérieure
-
School of Industrial Design pays non établi dans la noticeUniversité ou école supérieure
-
School of Water Resources and Hydropower Engineering pays non établi dans la noticeUniversité ou école supérieure
Innovation Demonstration Base of Ecological Environment Geotechnical and Ecological Restoration of Rivers and Lakes — Hubei University of Technology, Wuhan University et Hubei Water Resources Research Institute, avec 5 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.