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dc.contributor.authorYuan Xiukai
dc.contributor.authorZheng Zhenxuan
dc.contributor.authorZhang Baoqiang
dc.date.accessioned2020-10-10T03:07:35Z
dc.date.available2020-10-10T03:07:35Z
dc.date.issued2019-12-04
dc.identifier.citationApplied Mathematical Modelling,2019,
dc.identifier.other10.1016/j.apm.2019.11.009
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/176999
dc.description.abstractAbstract(#br)An efficient approach, called augmented line sampling, is proposed to locally evaluate the failure probability function (FPF) in structural reliability-based design by using only one reliability analysis run of line sampling. The novelty of this approach is that it re-uses the information of a single line sampling analysis to construct the FPF estimation, repeated evaluations of the failure probabilities can be avoided. It is shown that, when design parameters are the distribution parameters of basic random variables, the desired information about FPF can be extracted through a single implementation of line sampling. Line sampling is a highly efficient and widely used reliability analysis method. The proposed method extends the traditional line sampling for the failure probability estimation to the evaluation of the FPF which is a challenge task. The required computational effort is neither relatively sensitive to the number of uncertain parameters, nor grows with the number of design parameters. Numerical examples are given to show the advantages of the approach.
dc.language.isozh_CN
dc.subjectReliability
dc.subjectLine sampling
dc.subjectFailure probability function
dc.subjectReliability-based design
dc.subjectAeronautical structures
dc.titleAugmented line sampling for approximation of failure probability function in reliability-based analysis
dc.typeArticle


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