Probability of corrosion failure analysis using an adaptive sampling approach

Chaoyang Xie, Pingfeng Wang, Zequn Wang, Hongzhong Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2015 IEEE Conference on Prognostics and Health Management
Subtitle of host publicationEnhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479918935
DOIs
StatePublished - Sep 8 2015
Externally publishedYes
EventIEEE Conference on Prognostics and Health Management, PHM 2015 - Austin, United States
Duration: Jun 22 2015Jun 25 2015

Publication series

Name2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015

Other

OtherIEEE Conference on Prognostics and Health Management, PHM 2015
CountryUnited States
CityAustin
Period6/22/156/25/15

Keywords

  • Adaptive Sampling
  • Physics of Failure
  • Pitting Corrosion
  • Reliability

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software
  • Engineering (miscellaneous)

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  • Cite this

    Xie, C., Wang, P., Wang, Z., & Huang, H. (2015). Probability of corrosion failure analysis using an adaptive sampling approach. In 2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015 [7245021] (2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPHM.2015.7245021