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Please use this identifier to cite or link to this item: http://hdl.handle.net/2031/4930

Title: Probabilistic structural health monitoring and reliability analysis
Other Titles: Gai l{uml}u jie gou jian kang jian ce yu ke kao du fen xi
概率結構健康監測與可靠度分析
Authors: Ng, Ching Tai (吳清泰)
Department: Dept. of Building and Construction
Degree: Master of Philosophy
Issue Date: 2007
Publisher: City University of Hong Kong
Subjects: Structural analysis (Engineering)
Notes: CityU Call Number: TA645.N4 2007
Includes bibliographical references (leaves [151]-166)
Thesis (M.Phil.)--City University of Hong Kong, 2007
xviii, 168 leaves : ill. (some col.) ; 30 cm.
Type: Thesis
Abstract: Thisthesisinvestigatestheapplicationofprobabilisticmethodstosolveproblemsintheareasofstructuraldamagedetection,crackdetectionandreliabilityanalysisofstructuresinthepresenceofuncertainties.Intheareaofstructuraldamagedetection,anartificialneuralnetwork(ANN)basedmethodthatfollowsthepatternrecognitionapproachisproposedwhichconsidersthedesignoftheANNarchitecture.Thepro-posedstructuraldamagedetectionmethodisverifiedbytheIASC-ASCEbenchmarkstructure.Twotypesofpatternfeatures,modalparametersandRitzvectors,areexaminedinthebenchmarkstudy. Forthedetectionofcracksinbeam-typestructures,atwo-stagemethodologyisproposed.Inthefirststage,di erentclassesofmodelsareemployedtomodelbeamswithdi erentnumbersofcracks.TheBayesianmodelclassselectionmethodisem-ployedtoselectthemostplausibleclassofmodelsbasedonthesetofmeasureddynamicdatatoidentifythenumberofcracks.Inthesecondstage,theposterior(updated)probabilitydensityfunctionsofthecracklocationsandextentsarecal-culatedfollowingtheBayesianstatisticalframework.Theproposedmethodologyisverifiedbybothcomputersimulationsandexperiments. Intheareaofstructuralreliabilityanalysis,theapplicationofimportancesamplingtoestimatethefirst-passageprobabilityofsingle-degree-of-freedomelasto-plasticsys-temsthataresubjectedtowhitenoiseexcitationsisinvestigated.Acomputationallyeÿcientmethodtofindthecriticalexcitationispresented.Thecharacteristicsofthecriticalexcitationareexploredandtheeÿciencyoftheresultingimportancesamplingstrategyiscriticallyassessed.Approximatecriticalexcitations,whicharereferredtoassuboptimalexcitations,aredevelopedandappliedtoimportancesampling.
Online Catalog Link: http://lib.cityu.edu.hk/record=b2218136
Appears in Collections:BC - Master of Philosophy

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