• DocumentCode
    2097870
  • Title

    Probability of corrosion failure analysis using an adaptive sampling approach

  • Author

    Xie, Chaoyang ; Wang, Pingfeng ; Wang, Zequn ; Huang, Hongzhong

  • Author_Institution
    School of Mechatronics Engineering University of Electronic Science and Technology of China Chengdu. China
  • fYear
    2015
  • fDate
    22-25 June 2015
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents a physics of failure model for pitting corrosion with the coupled effect of corrosion environment and mechanical stresses. With the developed model, corrosion damage growth can be projected and corrosion reliability can be analyzed. To carry out corrosion reliability analysis, the developed pitting corrosion model can be formulated as time-dependent limit state functions considering pit to crack transition, crack growth and fracture failure mechanics. A new maximum confidence enhancement based sequential approach is then employed to improve the efficiency of corrosion reliability analysis with the time-dependent limit state functions. A case study is presented to illustrate the efficacy of the developed physics of failure model for corrosion considering the coupled mechanical stress effects, and the new corrosion reliability analysis methodology.
  • Keywords
    Adaptation models; Analytical models; Corrosion; Load modeling; Reliability; Stress; Adaptive Sampling; Physics of Failure; Pitting Corrosion; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and Health Management (PHM), 2015 IEEE Conference on
  • Conference_Location
    Austin, TX, USA
  • Type

    conf

  • DOI
    10.1109/ICPHM.2015.7245021
  • Filename
    7245021