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Author:

Zhang, Xuan-Yi (Zhang, Xuan-Yi.) | Lu, Zhao-Hui (Lu, Zhao-Hui.) | Wu, Shi-Yu (Wu, Shi-Yu.) | Zhao, Yan-Gang (Zhao, Yan-Gang.)

Indexed by:

EI

Abstract:

Time-variant reliability evaluation including finite element (FE) analysis requires relatively large computational efforts, as FE analysis is time-consuming and the number of calls to FE analysis in time-variant reliability analysis (TRA) cycle is generally large. In this study, a moment-based PHI2 (MPHI2) method is proposed for evaluating time-variant reliability including FE analysis, based on the statistical moments of the limit state function at successive time instants. Instead of conducting FE analysis repeatedly in TRA cycle, MPHI2 method separates FE analysis from the cycle by representing the associated components in the limit state function as a random variable/process and estimating its statistical characteristics before the TRA cycle. After the separation, time-variant reliability can be evaluated based on the assumed random variable/process with no need to conduct FE analysis, which may significantly reduce the number of calls to the FE analysis and thus improve the computational efficiency. Three numerical and practical examples are presented to illustrate the application and efficiency of the proposed MPHI2 method. © 2021

Keyword:

Computational efficiency Function evaluation Finite element method Reliability analysis Random variables Efficiency Numerical methods

Author Community:

  • [ 1 ] [Zhang, Xuan-Yi]Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, 100 Pingleyuan, Beijing; 100124, China
  • [ 2 ] [Lu, Zhao-Hui]Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, 100 Pingleyuan, Beijing; 100124, China
  • [ 3 ] [Lu, Zhao-Hui]School of Civil Engineering, Central South University, Changsha; 410075, China
  • [ 4 ] [Wu, Shi-Yu]Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, 100 Pingleyuan, Beijing; 100124, China
  • [ 5 ] [Zhao, Yan-Gang]Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, 100 Pingleyuan, Beijing; 100124, China
  • [ 6 ] [Zhao, Yan-Gang]Department of Architecture, Kanagawa University, 3-27-1 Rokkakubashi, Kanagawa-ku; Yokohama; 221-8686, Japan

Reprint Author's Address:

  • [lu, zhao-hui]key laboratory of urban security and disaster engineering of ministry of education, beijing university of technology, 100 pingleyuan, beijing; 100124, china;;[lu, zhao-hui]school of civil engineering, central south university, changsha; 410075, china

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Source :

Reliability Engineering and System Safety

ISSN: 0951-8320

Year: 2021

Volume: 210

8 . 1 0 0

JCR@2022

ESI HC Threshold:87

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 44

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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