• DocumentCode
    2700783
  • Title

    A study on uncertainty analysis of fatigue reliability

  • Author

    Tang, Yong ; Li, Mingzhang ; Liu, Ningbo ; Zhu, Shun-Peng ; Huang, Hong-Zhong

  • Author_Institution
    Sch. of Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2012
  • fDate
    15-18 June 2012
  • Firstpage
    909
  • Lastpage
    914
  • Abstract
    Engineering experience reminds us of the importance of uncertainty analysis in fatigue reliability based design. In the present paper, according to the procedure of fatigue reliability analysis, parameter uncertainty and model uncertainty are studied and the corresponding solutions are reviewed. The aim of parameter uncertainty analysis is to obtain reliability index to quantify uncertainties imported by parameters. The current research focuses on defining reliability index and putting forward different methods to handle different variable expressions (random, convex, fuzzy set). Different from parameter uncertainty analysis, model uncertainty analysis can reduce uncertainties imported by model by modifying model structure or selecting best model. In application, both methods can effectively quantify and reduce uncertainty. The development on both methods will contribute to understanding fatigue process and its causes.
  • Keywords
    fatigue; fuzzy set theory; random processes; reliability; uncertain systems; convex expression; fatigue process; fatigue reliability analysis; fatigue reliability based design; fuzzy set; model uncertainty analysis; parameter uncertainty analysis; random expression; reliability index; uncertainty analysis; Analytical models; Fatigue; Indexes; Predictive models; Probabilistic logic; Reliability; Uncertainty; Bayes´ theorem; model uncertainty; parameter uncertainty; reliability index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-0786-4
  • Type

    conf

  • DOI
    10.1109/ICQR2MSE.2012.6246373
  • Filename
    6246373