Reliability Sensitivity-based Correlation Coefficient Calculation in Structural Reliability Analysis

被引:0
|
作者
YANG Zhou
机构
基金
中国国家自然科学基金;
关键词
structural reliability; reliability sensitivity; probabilistic perturbation method; selection of the correlation coefficient;
D O I
暂无
中图分类号
TB114.3 [可靠性理论];
学科分类号
1201 ;
摘要
The correlation coefficients of random variables of mechanical structures are generally chosen with experience or even ignored,which cannot actually reflect the effects of parameter uncertainties on reliability.To discuss the selection problem of the correlation coefficients from the reliability-based sensitivity point of view,the theory principle of the problem is established based on the results of the reliability sensitivity,and the criterion of correlation among random variables is shown.The values of the correlation coefficients are obtained according to the proposed principle and the reliability sensitivity problem is discussed.Numerical studies have shown the following results:(1) If the sensitivity value of correlation coefficient ρ is less than(at what magnitude 0.000 01),then the correlation could be ignored,which could simplify the procedure without introducing additional error.(2) However,as the difference between ρs,that is the most sensitive to the reliability,and ρR,that is with the smallest reliability,is less than 0.001,ρs is suggested to model the dependency of random variables.This could ensure the robust quality of system without the loss of safety requirement.(3) In the case of |Eabs|ρ0.001 and also |Erel|ρ0.001,ρR should be employed to quantify the correlation among random variables in order to ensure the accuracy of reliability analysis.Application of the proposed approach could provide a practical routine for mechanical design and manufactory to study the reliability and reliability-based sensitivity of basic design variables in mechanical reliability analysis and design.
引用
下载
收藏
页码:608 / 614
页数:7
相关论文
共 50 条
  • [21] Sensitivity Analysis of Offshore Wind Farm Topology based on Reliability Calculation
    Athamna, Issam
    Zdrallek, Markus
    Wiebe, Eduard
    Koch, Friedrich
    2014 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS), 2014,
  • [22] A RELIABILITY COEFFICIENT BASED ON ANALYSIS OF VARIANCE
    Burt, Cyril
    BRITISH JOURNAL OF STATISTICAL PSYCHOLOGY, 1954, 7 : 61 - 61
  • [23] Cyclic thermoelastoplasticity structural calculation - Reliability and sensitivity of material parameters
    Rajhi, Ramzi
    Taleb, Lakhdar
    Elhami, Abdelkhalak
    PROCEEDINGS OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE 2005, VOL 3, 2005, 3 : 467 - 476
  • [24] Reliability Sensitivity Analysis of Bearing-Rotor System Based on the Dynamic Coefficient
    Zhao, Qunchao
    Zhang, Yimin
    MECHATRONICS AND INFORMATION TECHNOLOGY, PTS 1 AND 2, 2012, 2-3 : 1004 - 1007
  • [25] MPPPM-based analysis of reliability-based sensitivity of correlation coefficients
    Zhang, Yi-Min
    Wang, Shi-Peng
    Liu, Qiao-Ling
    Xie, Yan-Cai
    Dongbei Daxue Xuebao/Journal of Northeastern University, 2008, 29 (06): : 872 - 876
  • [26] Sensitivity-Based VOC Reactivity Calculation
    Napelenok, Sergey L.
    Luecken, Deborah
    AIR POLLUTION MODELING AND ITS APPLICATION XXIV, 2016, : 233 - 237
  • [27] Subset simulation for structural reliability sensitivity analysis
    Song, Shufang
    Lu, Zhenzhou
    Qiao, Hongwei
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2009, 94 (02) : 658 - 665
  • [28] A new method of sensitivity analysis of structural reliability
    Zhang, Wei
    Li, Xueling
    Das, P. K.
    2006 XI'AN INTERNATIONAL CONFERENCE OF ARCHITECTURE AND TECHNOLOGY, PROCEEDINGS: ARCHITECTURE IN HARMONY, 2006, : 392 - +
  • [29] Noise analysis for sensitivity-based structural damage detection
    Yin Tao
    Zhu Hong-ping
    Yu Ling
    APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2007, 28 (06) : 741 - 750
  • [30] Noise analysis for sensitivity-based structural damage detection
    Tao Yin
    Hong-ping Zhu
    Ling Yu
    Applied Mathematics and Mechanics, 2007, 28 : 741 - 750