Time-Variant System Reliability Assessment by Probability Density Evolution Method

被引:10
|
作者
Zhou, Qingyu [1 ]
Fan, Wenliang [1 ]
Li, Zhengliang [1 ]
Ohsaki, Makoto [2 ]
机构
[1] Chongqing Univ, Sch Civil Engn, Shaping St 174, Chongqing 400045, Peoples R China
[2] Kyoto Univ, Dept Architecture & Architectural Engn, Kyoto 6158540, Japan
基金
中国国家自然科学基金;
关键词
Time-variant system reliability; Classification of system reliability; Probability density evolution method (PDEM); Generalized density evolution equation (GDEE); Dirac sequence method; DYNAMIC-RESPONSE ANALYSIS; STRUCTURAL SYSTEM; FAILURE MODES;
D O I
10.1061/(ASCE)EM.1943-7889.0001351
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The time-variant system reliability analysis is a challenging and significant topic, which also faces the common obstacles of traditional system reliability methods such as combination explosion and unclear correlation information. In this paper, the probability density evolution method (PDEM) for two types of time-variant system reliability analysis is proposed. First, the system reliability is classified into two types, and the corresponding equivalent performance functions are given, which are further extended to time-variant structural systems. Second, based on the single equivalent performance function, the generalized density evolution equation (GDEE) for time-variant structural system is derived in two different ways. Third, the GDEE is solved by the Dirac sequence method and the time-variant system reliability is evaluated. Finally, several numerical examples are investigated to illustrate the accuracy and effectiveness of proposed method. (C) 2017 American Society of Civil Engineers.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Time-variant reliability analysis of underground structures against delayed failure based on the probability density evolution method
    Wang, Qing
    Huang, Tiancan
    [J]. ENGINEERING FAILURE ANALYSIS, 2022, 142
  • [2] Time-variant system reliability analysis method for a small failure probability problem
    Qian, Hua-Ming
    Li, Yan-Feng
    Huang, Hong-Zhong
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2021, 205
  • [3] A time-variant extreme-value event evolution method for time-variant reliability analysis
    Ping, M. H.
    Han, X.
    Jiang, C.
    Xiao, X. Y.
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 130 : 333 - 348
  • [4] Time-variant system reliability
    Dey, A
    Mahadevan, S
    [J]. STRUCTURAL SAFETY AND RELIABILITY, VOLS. 1-3, 1998, : 647 - 654
  • [5] Time-variant structural reliability assessment
    Zayed, A.
    Garbatov, Y.
    Guedes Soares, C.
    [J]. MARINE TECHNOLOGY AND ENGINEERING, VOL 2, 2011, : 1395 - 1412
  • [6] An efficient time-variant reliability analysis strategy embedding the NARX neural network of response characteristics prediction into probability density evolution method
    Zhou, Jin
    Li, Jie
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2023, 200
  • [7] Time-variant reliability modeling based on hybrid non-probability method
    Sun, Bo
    Li, Meng-Meng
    Liao, Bao-Peng
    Yang, Xi
    Cao, Yi-Tong
    Cui, Bo-Feng
    Feng, Qiang
    Ren, Yi
    Yang, De-Zhen
    [J]. ARCHIVE OF APPLIED MECHANICS, 2020, 90 (02) : 209 - 219
  • [8] A TIME-VARIANT RELIABILITY EVALUATION METHOD ON FATIGUE OF RISER SYSTEM
    Sun Hai
    Sun Liping
    Dai Wei
    [J]. PROCEEDINGS OF THE ASME 29TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING 2010, VOL 2, 2010, : 615 - 619
  • [9] Time-variant reliability modeling based on hybrid non-probability method
    Bo Sun
    Meng-Meng Li
    Bao-Peng Liao
    Xi Yang
    Yi-Tong Cao
    Bo-Feng Cui
    Qiang Feng
    Yi Ren
    De-Zhen Yang
    [J]. Archive of Applied Mechanics, 2020, 90 : 209 - 219
  • [10] Probability density evolution method for dynamic reliability assessment
    Li, J
    Chen, JB
    [J]. PROCEEDINGS OF THE EIGHTH INTERNATIONAL SYMPOSIUM ON STRUCTURAL ENGINEERING FOR YOUNG EXPERTS, VOLS 1 AND 2, 2004, : 26 - 32