Estimation of flexural capacity of quadrilateral FRP-confined RC columns using combined artificial neural network

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dc.contributor.authorKoroglu, Mehmet Alpaslan
dc.contributor.authorCeylan, Murat
dc.contributor.authorArslan, Musa Hakan
dc.contributor.authorIlki, Alper
dc.date.accessioned2020-03-26T18:25:33Z
dc.date.available2020-03-26T18:25:33Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThis study presents the application of combined artificial neural networks (CANNs) for the flexural capacity estimation of quadrilateral fiber-reinforced polymer (FRP) confined reinforced concrete (RC) columns. A database on quadrilateral FRP confined RC columns subjected to axial load and moment was obtained from experimental studies in the literature; CANN models were built, trained and tested. Then the flexural capacities of quadrilateral FRP confined RC columns were determined using the developed CANN model. Single and combined ANN was used for the first time in the literature for the estimation of flexural capacities of non-circular fiber-reinforced polymer (FRP) confined reinforced concrete (RC) columns. The accuracies of the proposed ANN and CANN models were more satisfactory as compared to the existing conventional approaches in the literature. Moreover, the proposed CANN models' results had lower prediction error than those of the single ANN model. (C) 2012 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.engstruct.2012.04.013en_US
dc.identifier.endpage32en_US
dc.identifier.issn0141-0296en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage23en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.engstruct.2012.04.013
dc.identifier.urihttps://hdl.handle.net/20.500.12395/28024
dc.identifier.volume42en_US
dc.identifier.wosWOS:000306776400003en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherELSEVIER SCI LTDen_US
dc.relation.ispartofENGINEERING STRUCTURESen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectConfined columnen_US
dc.subjectFiber-reinforced polymeren_US
dc.subjectExperimenten_US
dc.subjectCombined artificial neural networksen_US
dc.titleEstimation of flexural capacity of quadrilateral FRP-confined RC columns using combined artificial neural networken_US
dc.typeArticleen_US

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