Predicting the moment capacity of RC beams exposed to fire using ANNs

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dc.contributor.authorErdem, Hakan
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2015
dc.departmentNiğde ÖHÜ
dc.description.abstractThis research investigates the implementation of artificial neural networks (ANNs) to estimate the moment capacity (M-r) of reinforced concrete (RC) beams under rising temperatures due to fire. 280 data were obtained for ANN model. Input layer in ANN model consisted of eight input parameters; the beam width (b(w)), the beam depth (d), the ratio of (b(w)/d), distance from the beam edge to the center of the rebar (d'), the ratio of (d'/d), fire time (t(exposure)), the reinforcement area (A(st)), and concrete compressive strength (f(c)). It is shown that the ANN model can be used to predict the M-r of RC beams exposed to fire with high accuracy. The predicted M-r by ANN are consistent with the results obtained using M-r equation. It was observed from the results the ANN model reduces the computational complexity problem in determining M-r. Consequently, the ANN model was used to examine the effects of the inputs parameters on M-r. (C) 2015 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.conbuildmat.2015.10.049
dc.identifier.endpage38
dc.identifier.issn0950-0618
dc.identifier.issn1879-0526
dc.identifier.scopus2-s2.0-84944691286
dc.identifier.scopusqualityQ1
dc.identifier.startpage30
dc.identifier.urihttps://dx.doi.org/10.1016/j.conbuildmat.2015.10.049
dc.identifier.urihttps://hdl.handle.net/11480/3833
dc.identifier.volume101
dc.identifier.wosWOS:000366227100004
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorErdem, Hakan
dc.language.isoen
dc.publisherELSEVIER SCI LTD
dc.relation.ispartofCONSTRUCTION AND BUILDING MATERIALS
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectReinforced concrete
dc.subjectFire
dc.subjectBeam
dc.subjectMoment capacity
dc.subjectArtificial neural network
dc.titlePredicting the moment capacity of RC beams exposed to fire using ANNs
dc.typeArticle

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