A crack identification method for beam type structures subject to moving vehicle using particle swarm optimization

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dc.authorid0000-0003-3070-6365en_US
dc.contributor.authorGökdağ, Hakan
dc.date.accessioned2021-03-20T20:26:51Z
dc.date.available2021-03-20T20:26:51Z
dc.date.issued2013
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Havacılık ve Uzay Mühendisliği Bölümüen_US
dc.description.abstractIn this work a crack identification method for beam type structures under moving vehicle is proposed. The basic of the method is to formulate damage detection as an inverse problem, and solve for damage locations and extents. To this end, an objective function is defined based on the difference of damaged beam dynamic response and the response calculated by the mathematical model of the beam. The optimization problem is solved through a popular evolutionary algorithm, i.e. the particle swarm optimization (PSO) with constriction factor, to obtain crack locations and depths. From the numerical simulations it was observed that cracks with depth ratio of 0.1 can be identified with reasonable error by the present method in spite of noise interference and distortive effect of road surface roughness.en_US
dc.identifier.endpage448en_US
dc.identifier.issn1303-9709
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-84884969693en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage439en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1297
dc.identifier.volume26en_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorGökdağ, Hakan
dc.language.isoenen_US
dc.relation.ispartofGazi University Journal of Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCracked beamen_US
dc.subjectDamage detectionen_US
dc.subjectMoving vehicleen_US
dc.subjectParticle swarm optimizationen_US
dc.titleA crack identification method for beam type structures subject to moving vehicle using particle swarm optimizationen_US
dc.typeArticleen_US

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