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dc.creatorNtotsios, E.en
dc.creatorChristodoulou, K.en
dc.creatorPapadimitriou, C.en
dc.date.accessioned2015-11-23T10:41:34Z
dc.date.available2015-11-23T10:41:34Z
dc.date.issued2006
dc.identifier.isbn9781932078633
dc.identifier.isbn1932078630
dc.identifier.urihttp://hdl.handle.net/11615/31455
dc.description.abstractTheoretical and computational issues arising in the selection of the optimal sensor configuration in structural dynamics are addressed. The information entropy is introduced to measure the performance of a sensor configuration. Asymptotic estimates are used to rigorously justify that selections of optimal sensor configurations can be based solely on nominal structural models, ignoring the time history details of the measured data that are not available in the initial experimental design stage. Heuristic algorithms are proposed for constructing effective sensor configurations that are superior, in terms of computational efficiency and accuracy, to the sensor configurations provided by available algorithms suitable for solving general optimisation problems. The theoretical developments and the effectiveness of the proposed algorithms are illustrated by designing the optimal configuration for an array of acceleration sensors placed on a bridge structure.en
dc.source.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-56449092344&partnerID=40&md5=6b741d48f788cdd80e28f8b90647e613
dc.subjectAcceleration sensorsen
dc.subjectAsymptotic estimatesen
dc.subjectBridge structuresen
dc.subjectComputational issuesen
dc.subjectInformation entropyen
dc.subjectOptimal configurationsen
dc.subjectOptimal sensoren
dc.subjectOptimal sensor locationsen
dc.subjectOptimisationsen
dc.subjectSensor configurationsen
dc.subjectStructural identificationen
dc.subjectStructural modelsen
dc.subjectTheoretical developmenten
dc.subjectTime historyen
dc.subjectDamage detectionen
dc.subjectHeuristic algorithmsen
dc.subjectModel structuresen
dc.subjectOptimizationen
dc.subjectStructural dynamicsen
dc.subjectSensorsen
dc.titleOptimal sensor location methodology for structural identification and damage detectionen
dc.typeconferenceItemen


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