Neuro-fuzzy and artificial neural networks modeling of uniform temperature effects of symmetric parabolic haunched beams

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dc.contributor.authorYuksel, S. Bahadir
dc.contributor.authorYarar, Alpaslan
dc.date.accessioned2020-03-26T19:06:25Z
dc.date.available2020-03-26T19:06:25Z
dc.date.issued2015
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractWhen the temperature of a structure varies, there is a tendency to produce changes in the shape of the structure. The resulting actions may be of considerable importance in the analysis of the structures having non-prismatic members. The computation of design forces for the non-prismatic beams having symmetrical parabolic haunches (NBSPH) is fairly difficult because of the parabolic change of the cross section. Due to their non-prismatic geometrical configuration, their assessment, particularly the computation of fixed-end horizontal forces and fixed-end moments becomes a complex problem. In this study, the efficiency of the Artificial Neural Networks (ANN) and Adaptive Neuro Fuzzy Inference Systems (ANFIS) in predicting the design forces and the design moments of the NBSPH due to temperature changes was investigated. Previously obtained finite element analyses results in the literature were used to train and test the ANN and ANFIS models. The performances of the different models were evaluated by comparing the corresponding values of mean squared errors (MSE) and decisive coefficients (R-2). In addition to this, the comparison of ANN and ANFIS with traditional methods was made by setting up Linear-regression (LR) model.en_US
dc.identifier.endpage796en_US
dc.identifier.issn1225-4568en_US
dc.identifier.issn1598-6217en_US
dc.identifier.issue5en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage787en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/32351
dc.identifier.volume56en_US
dc.identifier.wosWOS:000366978200005en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTECHNO-PRESSen_US
dc.relation.ispartofSTRUCTURAL ENGINEERING AND MECHANICSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectnon-prismatic memberen_US
dc.subjectfinite element analysisen_US
dc.subjectparabolic haunchen_US
dc.subjectartificial neural networks, adaptive neuro fuzzy inference systemsen_US
dc.titleNeuro-fuzzy and artificial neural networks modeling of uniform temperature effects of symmetric parabolic haunched beamsen_US
dc.typeArticleen_US

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