A combined radial basis function and adaptive sequential sampling method for structural reliability analysis

Linxiong Hong, Huacong Li, Kai Peng

科研成果: 期刊稿件文章同行评审

55 引用 (Scopus)

摘要

In this paper, according to the Kriging based reliability analysis method, an efficient sequential sampling method combined with radial basis function is proposed to reduce the modeling complexity of the surrogate model and eliminate the uncertainties of the Kriging itself on the reliability analysis results. A novel active learning function is developed that can search for the sequential samples effectively among the candidate set. For terminating the sequential sampling process, a corresponding convergence criterion according to the failure probability obtained from the cross-validation method is constructed. Furthermore, the proposed method can be applied to any other surrogate model in principle. Five numerical examples demonstrate that the proposed method has high precision and efficiency as well as strong applicability in structural reliability analysis.

源语言英语
页(从-至)375-393
页数19
期刊Applied Mathematical Modelling
90
DOI
出版状态已出版 - 2月 2021

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