Probability of corrosion failure analysis using an adaptive sampling approach

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Issue Date
2015
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Authors
Xie, Chaoyang
Wang, Zequn
Wang, Pingfeng
Huang, Hongzhong
Advisor
Citation

C. Xie, P. Wang, Z. Wang and H. Huang, "Probability of corrosion failure analysis using an adaptive sampling approach," Prognostics and Health Management (PHM), 2015 IEEE Conference on, Austin, TX, 2015, pp. 1-8

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.

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