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

dc.contributor.authorBaǧci M.
dc.date.accessioned2025-04-10T11:15:53Z
dc.date.available2025-04-10T11:15:53Z
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.DOI-ID10.3390/mca15010066
dc.identifier.urihttp://hdl.handle.net/20.500.14701/51368
dc.publisherAssociation for Scientific Research
dc.titleNeural network model for moment-curvature relationship of reinforced concrete sections
dc.typeArticle

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