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dc.contributor.authorWang, Pingfeng
dc.contributor.authorCui, Xiao-Long
dc.identifier.citationWang, Pingfeng; Cui, Xiaolong. 2016. Reliability analysis and design considering disjointed active failure regions. ASME 2015 International Mechanical Engineering Congress and Exposition, vol. 11: Systems, Design, and Complexity Houston, Texas, USA, November 13–19, 2015en_US
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractFailure of practical engineering systems could be induced by several correlated failure modes, and consequently reliability analysis are conducted with multiple disjointed failure regions in the system random input space. Problems with disjointed failure regions create a great challenge for existing reliability analysis approaches due to the discontinuity of the system performance function between these regions. This paper presents a new enhanced Monte Carlo simulation (EMCS) approach for reliability analysis and design considering disjointed failure regions. The ordinary Kriging method is adopted to construct surrogate model for the performance function so that Monte Carlo simulation (MCS) can be used to estimate the reliability. A maximum failure potential based sampling scheme is developed to iteratively search failure samples and update the Kriging model. Two case studies are used to demonstrate the efficacy of the proposed methodology.en_US
dc.publisherAmerican Society of Mechanical Engineersen_US
dc.relation.ispartofseriesASME 2015 International Mechanical Engineering Congress and Exposition;vol.11
dc.subjectPolynomial chaos expansionen_US
dc.subjectDimension-reduction methoden_US
dc.subjectMultidimensional integrationen_US
dc.subjectStochastic mechanicsen_US
dc.subjectEDR methoden_US
dc.titleReliability analysis and design considering disjointed active failure regionsen_US
dc.typeConference paperen_US
dc.rights.holderCopyright © 2015 by ASMEen_US

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