@inproceedings{14f58f191ca14b81975504d8a86304e3,
title = "Probability of corrosion failure analysis using an adaptive sampling approach",
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 = "Adaptive Sampling, Physics of Failure, Pitting Corrosion, Reliability",
author = "Chaoyang Xie and Pingfeng Wang and Zequn Wang and Hongzhong Huang",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Conference on Prognostics and Health Management, PHM 2015 ; Conference date: 22-06-2015 Through 25-06-2015",
year = "2015",
month = sep,
day = "8",
doi = "10.1109/ICPHM.2015.7245021",
language = "English (US)",
series = "2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 IEEE Conference on Prognostics and Health Management",
address = "United States",
}