Structural Damage Detection Using Modal Parameters and Particle Swarm Optimization

Basit Öğe Kaydı
dc.authorid0000-0003-3070-6365en_US
dc.contributor.authorGökdağ, Hakan
dc.contributor.authorYıldız, Ali Rıza
dc.date.accessioned2021-03-20T20:16:09Z
dc.date.available2021-03-20T20:16:09Z
dc.date.issued2012
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Makine Mühendisliği Bölümüen_US
dc.description.abstractVibration based on structural damage detection (DD) is an important subject in many fields of engineering. Detection of possible damage locations before destructive stiffness losses in the engineering structures occur, is a main goal of DD. This paper describes the damage detection in structural elements by means of Particle Swarm Optimization algorithm (PSO). In this regard, the finite element model of a Timoshenko beam is considered, and damage is assumed as a stiffness loss in some elements. Damage locations and extents are identified minimizing some well-known modal parameter based objective functions. It is concluded that modal flexibility is the best among the considered damage indexes. Also, the results show that PSO is an effective optimization approach in structural damage detection.en_US
dc.identifier.endpage420en_US
dc.identifier.issn0025-5300
dc.identifier.issue6en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage416en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1278
dc.identifier.volume54en_US
dc.identifier.wosWOS:000307325000006en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.institutionauthorGökdağ, Hakan
dc.language.isoenen_US
dc.publisherCarl Hanser Verlagen_US
dc.relation.ispartofMaterials Testingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keywords]en_US
dc.titleStructural Damage Detection Using Modal Parameters and Particle Swarm Optimizationen_US
dc.typeArticleen_US

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Makine Mühendisliği Bölümü Yayın Koleksiyonu