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Döhler, Michael
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document
Efficient Structural System Reliability Updating with Subspace-Based Damage Detection Information
Abstract
Damagedetectionsystemsandalgorithms(DDSandDDA)provideinformationofthe structuralsystemintegrityincontrasttoe.g.localinformationbyinspectionsornon-destructivetestingtechniques.However,thepotentialofutilizingDDSinformationforthe structuralintegrityassessmentandprognosisishardlyexploitednortreatedinscientific literatureuptonow.InordertoutilizetheinformationprovidedbyDDSforthestructural performance, usually high computational efforts for the pre-determination of DDS reliability arerequired.Inthis paper,anapproachfortheDDSperformancemodellingisintroduced buildinguponthenon-destructivetestingreliabilitywhichappliestostructuralsystemsand DDScontainingastrategytoovercomethehighcomputationaleffortsforthepre-determination of the DDS reliability. This approach takes basis in the subspace-based damage detection method and builds upon mathematical properties of the damage detection algorithm. Computational efficiency is gained by calculating the probability of damage indication directly withoutnecessitatinga pre-determinationforall damagestates.Thedevelopedapproachis appliedtoastatic,dynamic,deteriorationandreliabilitystructuralsystemmodel, demonstrating the potentials for utilizing DDS for risk reduction