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dc.contributor.authorWang, Zequn
dc.contributor.authorWang, Pingfeng
dc.date.accessioned2013-08-22T18:36:05Z
dc.date.available2013-08-22T18:36:05Z
dc.date.issued2013-01
dc.identifier.citationZequn Wang; Pingfeng Wang. 2013. "A new response surface approach for time-variant reliability analysis," Reliability and Maintainability Symposium (RAMS), 2013 Proceedings - Annual, v.:no.:pp.1-6, 28-31 Jan. 2013en_US
dc.identifier.isbn978-1-4673-4711-2
dc.identifier.otherWOS:000321693500077
dc.identifier.urihttp://dx.doi.org/10.1109/RAMS.2013.6517692
dc.identifier.urihttp://hdl.handle.net/10057/6411
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThis paper presents a new approach, referred to as the nested extreme response surface (NERS), to efficiently carry out time-dependent reliability analysis and determine the optimal designs. The key of the NERS is to convert the time-dependent reliability analysis to time-independent one through constructing a kriging based nested time prediction model. The efficient global optimization technique is integrated with NERS to extract the extreme time responses of limit state functions and an adaptive response prediction and model maturation mechanism is developed for an optimal balancing of the model accuracy and the computational efficiency. With the nested response surface of time, existing advanced reliability analysis and design methods can be used. The NERS approach is integrated with RBDO for the design of engineered systems with time-dependent probabilistic constraints. The case study results demonstrate the accuracy and the effectiveness of the proposed approach.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesReliability and Maintainability Symposium (RAMS), 2013 Proceedings - Annual Date of Conference: 28-31 Jan. 2013;
dc.subjectReliabilityen_US
dc.subjectResponse Surfaceen_US
dc.subjectTime-dependenten_US
dc.subjectNERSen_US
dc.titleA new response surface approach for time-variant reliability analysisen_US
dc.typeArticleen_US


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