Neural network model for moment-curvature relationship of reinforced concrete sections

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dc.contributor.authorBaǧci M.
dc.date.accessioned2024-07-22T08:20:34Z
dc.date.available2024-07-22T08:20:34Z
dc.date.issued2010
dc.description.abstractThe analysis of moment-curvature relationship of reinforced concrete sections is complex due to large number of variables as well as non-linear material behavior involved. Artificial Neural Networks (ANNs) are found to be a tool capable of solving such problems. This has led to increasing use of ANN for analyzing the behavior of reinforced concrete sections. This paper reports the details of a study conducted using ANN for predicting moment-curvature relationship of a reinforced concrete section. Using data generated based on the analytical solutions, the ANN model was trained. The trained model was tested for a different set of input parameters and the output values were compared with the values based on analytical results. The agreement was found to be good. © Association for Scientific Research.
dc.identifier.issn1300686X
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/18223
dc.language.isoEnglish
dc.subjectConcrete buildings
dc.subjectReinforced concrete
dc.subjectAnalytical results
dc.subjectAnalytical solutions
dc.subjectArtificial neural networks
dc.subjectInput parameter
dc.subjectMoment-curvature
dc.subjectMoment-curvature relationship
dc.subjectNeural network model
dc.subjectNeutral network
dc.subjectNonlinear material behavior
dc.subjectOutput values
dc.subjectNeural networks
dc.titleNeural network model for moment-curvature relationship of reinforced concrete sections
dc.typeArticle

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