Developing an improved composite limit state method for time-dependent reliability analysis. Issue Volume 32:Issues 3(2020) (2nd July 2020)

• Record Type: Journal Article
• Authors: Li, Junxiang; Chen, Jianqiao; Chen, Zhiqiang
• Is Part Of: Quality engineering. Volume 32:Issues 3(2020)
• Page Start: 298
• Page End: 311
• Publication Date: 2020-07-02
• Subjects: CLS Kriging surrogate model -- composite limit state (CLS) method -- improved composite limit state method -- time-dependent reliability analysis; Quality control -- Periodicals; Production management -- Quality control -- Periodicals; 658.5
• DOI: 10.1080/08982112.2020.1735004
• Languages: English
• ISSNs: 0898-2112

Abstract

Abstract: Time-dependent reliability analysis remains challenging in practical engineering applications, since the modeling and solution are complicated, resulting in the huge computational burden. The composite limit state (CLS) method can efficiently reduce the computational cost to a certain extent. However, the computational cost is still high. In this article, an improved composite limit state (ICLS) method is proposed for efficient time-dependent reliability analysis, which is based on the original CLS. We propose two enhancements to improve the efficiency of the ICLS approach. First, different from the original method, Kriging surrogate models at all time nodes and one CLS Kriging surrogate model are established in the ICLS method, respectively. In that case, once a new sample is selected, there is no need to evaluate the true limit state function values on the new sample at each time node, leading to a reduction in computational cost. Next, the efficiency is further improved by updating the CLS Kriging surrogate model and the surrogate model at one selected time node simultaneously. Four examples are utilized to demonstrate the efficiency and accuracy of the ICLS method for time-dependent reliability analysis.