期刊论文

Jiang, YB

英文

Applied Mathematical Modelling

0307-904X

2025

146

116191

10.1016/j.apm.2025.116191

National Key R & D Program of China [2021YFB2600900]; National Natural Science Foun-dation of China [:52408154]; Provincial Natural Science Foundation of Hunan, China [2023JJ40036, 2022JJ10050, 2023JJ40718]; Open Fund of Key Laboratory of Safety Control of Bridge Engineering of Ministry of Education, Changsha University of Science Technology [22KB05]; TU Dortmund University, Germany

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The uncertainty of distribution parameters significantly impacts the outcomes of structural reliability analysis. Considering these uncertainties, the failure probability becomes uncertain and the estimation of its distribution often encounters burdensome computational effort. In this paper, to avoid repeated sampling of input random vector and performance function calls, an efficient quantitative estimation method for determining the distribution and quantiles of failure probability is developed through fixing the sampling distribution of input random vector. The fixed sampling distribution i...