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dc.contributor.authorWang, Pingfeng
dc.contributor.authorWang, Zequn
dc.contributor.authorYoun, Byeng D.
dc.contributor.authorLee, Soobum
dc.date.accessioned2015-07-24T15:30:04Z
dc.date.available2015-07-24T15:30:04Z
dc.date.issued2015-08
dc.identifier.citationWang, Pingfeng; Wang, Zequn; Youn, Byeng D.; Lee, Soobum. 2015. Reliability-based robust design of smart sensing systems for failure diagnostics using piezoelectric materials. Computers & Structures, vol. 156, August 2015:pp 110–121en_US
dc.identifier.issn0045-7949
dc.identifier.otherWOS:000357144300009
dc.identifier.urihttp://dx.doi.org/10.1016/j.compstruc.2015.04.012
dc.identifier.urihttp://hdl.handle.net/10057/11360
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThis paper presents a reliability-based robust design approach to develop piezoelectric materials based structural sensing systems for failure diagnostics and prognostics. A detectability measure is defined to evaluate the performance of any given sensing system, and the sensing system design problem can be formulated to maximize detectability for different failure modes by optimally allocating piezoelectric materials into a target structure. This formulation can be conveniently solved within a reliability-based robust design framework to ensure design robustness while considering the uncertainties such as those from structure properties and operation conditions. Two case studies, that design sensor networks for an aircraft wing panel and a power transformer structure, are employed to demonstrate the effectiveness of the proposed methodology in developing multifunctional material sensing systems. (C) 2015 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipNational Science Foundation in the United States through Faculty Early Career Development (CAREER) award (CMMI-1351414) and the Award (CMMI-1200597), and Department of Transportation the University Transportation Center (UTC) program through Midwest Transportation Center (MTC).en_US
dc.language.isoen_USen_US
dc.publisherElsevier Science Inc.en_US
dc.relation.ispartofseriesComputers & Structures;v.156
dc.subjectDesignen_US
dc.subjectFault diagnosisen_US
dc.subjectStructure sensingen_US
dc.subjectPiezoelectric materialen_US
dc.subjectDetectabilityen_US
dc.subjectRobustnessen_US
dc.titleReliability-based robust design of smart sensing systems for failure diagnostics using piezoelectric materialsen_US
dc.typeArticleen_US
dc.rights.holder(C) 2015 Elsevier Ltd. All rights reserved.


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