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dc.contributor.authorWang, Zequn
dc.contributor.authorWang, Pingfeng
dc.date.accessioned2015-08-31T14:47:46Z
dc.date.available2015-08-31T14:47:46Z
dc.date.issued2015-10
dc.identifier.citationWang, Zequn; Wang, Pingfeng. 2015. A double-loop adaptive sampling approach for sensitivity-free dynamic reliability analysis. Reliability Engineering & System Safety, vol. 142, October 2015:pp 346–356en_US
dc.identifier.issn0951-8320
dc.identifier.otherWOS:000359172400034
dc.identifier.urihttp://dx.doi.org/10.1016/j.ress.2015.05.007
dc.identifier.urihttp://hdl.handle.net/10057/11481
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractDynamic reliability measures reliability of an engineered system considering time-variant operation condition and component deterioration. Due to high computational costs, conducting dynamic reliability analysis at an early system design stage remains challenging. This paper presents a confidence-based meta-modeling approach, referred to as double-loop adaptive sampling (DLAS), for efficient sensitivity-free dynamic reliability analysis. The DLAS builds a Gaussian process (GP) model sequentially to approximate extreme system responses over time, so that Monte Carlo simulation (MCS) can be employed directly to estimate dynamic reliability. A generic confidence measure is developed to evaluate the accuracy of dynamic reliability estimation while using the MCS approach based on developed GP models. A double-loop adaptive sampling scheme is developed to efficiently update the GP model in a sequential manner, by considering system input variables and time concurrently in two sampling loops. The model updating process using the developed sampling scheme can be terminated once the user defined confidence target is satisfied. The developed DLAS approach eliminates computationally expensive sensitivity analysis process, thus substantially improves the efficiency of dynamic reliability analysis. Three case studies are used to demonstrate the efficacy of DLAS for dynamic reliability analysis.en_US
dc.description.sponsorshipThis research is partially supported by National Science Foundation through Faculty Early Career Development (CAREER) award (CMMI- 1351414) and the Award (CMMI-1200597).en_US
dc.language.isoen_USen_US
dc.publisherElsevier Ltd.en_US
dc.relation.ispartofseriesReliability Engineering & System Safety;v.142
dc.subjectReliability analysisen_US
dc.subjectSurrogate modelen_US
dc.subjectSequential samplingen_US
dc.subjectDynamicen_US
dc.subjectSensitivity freeen_US
dc.titleA double-loop adaptive sampling approach for sensitivity-free dynamic reliability analysisen_US
dc.typeArticleen_US
dc.rights.holder(C) 2015 Elsevier Ltd. All rights reserved.


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