Predicting the flexural behaviour of reinforced concrete and lightweight concrete beams by ANN

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dc.contributor.authorKamanli, Mehmet
dc.contributor.authorKaltakci, M. Yasar
dc.contributor.authorBahadir, Fatih
dc.contributor.authorBalik, Fatih S.
dc.contributor.authorKorkmaz, H. Husnu
dc.contributor.authorDonduren, M. Sami
dc.contributor.authorCogurcu, M. Tolga
dc.date.accessioned2020-03-26T18:31:05Z
dc.date.available2020-03-26T18:31:05Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, artificial neural network (ANN) method is used to predict the deflection values of beams and compared with the experimental results of a testing series. For this purpose six reinforced concrete beams with constant rectangular cross-section are prepared and tested under pure bending. The concrete of the test specimens is casted using the lightweight aggregates obtained from volcanic sediments. The lightweight concrete has some advantages comparing the traditional concrete, such as less self weight, less earthquake forces due to decreased mass, good sound and thermal insulation. The use of lightweight concrete in the construction industry is popular due to various advantages. The neural network procedure is applied to determine or predict the deflection values of 1/1 scaled model beams. The analytical results are compared with the test results and further predictions, including different mix designs can be possible at the end of the study. As a result, while the statistical values RMSE, R-2 and MAE from training in ANN model are found as 0.266, 99.2% and 0.216, respectively, these values are found in testing as 0.370, 96.47% and 0.419, respectively.en_US
dc.identifier.endpage94en_US
dc.identifier.issn0971-4588en_US
dc.identifier.issn0975-1017en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage87en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/28320
dc.identifier.volume19en_US
dc.identifier.wosWOS:000305550200002en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherNATL INST SCIENCE COMMUNICATION-NISCAIRen_US
dc.relation.ispartofINDIAN JOURNAL OF ENGINEERING AND MATERIALS SCIENCESen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectMechanical propertiesen_US
dc.subjectAggregatesen_US
dc.subjectConcreteen_US
dc.subjectModellingen_US
dc.subjectReinforced concreteen_US
dc.subjectANNen_US
dc.titlePredicting the flexural behaviour of reinforced concrete and lightweight concrete beams by ANNen_US
dc.typeArticleen_US

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