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dc.contributor.authorXie, Chaoyang
dc.contributor.authorWang, Zequn
dc.contributor.authorWang, Pingfeng
dc.contributor.authorHuang, Hongzhong
dc.date.accessioned2016-09-16T16:31:40Z
dc.date.available2016-09-16T16:31:40Z
dc.date.issued2015
dc.identifier.citationC. 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. 1-8en_US
dc.identifier.isbn978-1-4799-1894-2
dc.identifier.otherWOS:000380466500009
dc.identifier.urihttp://dx.doi.org/10.1109/ICPHM.2015.7245021
dc.identifier.urihttp://hdl.handle.net/10057/12422
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThis 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.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2015 IEEE Conference on Prognostics and Health Management (PHM);
dc.subjectPitting corrosionen_US
dc.subjectReliabilityen_US
dc.subjectPhysics of failureen_US
dc.subjectAdaptive samplingen_US
dc.titleProbability of corrosion failure analysis using an adaptive sampling approachen_US
dc.typeConference paperen_US
dc.rights.holder© Copyright 2016 IEEE - All rights reserved.en_US


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