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Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on mdpi.com as a courtesy and upon agreement with the previous journal publisher.
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Math. Comput. Appl. 2010, 15(1), 66-78; https://doi.org/10.3390/mca15010066

Neural Network Model for Moment-Curvature Relationship of Reinforced Concrete Sections

Civil Engineering Department, Celal Bayar University, Manisa, Turkey
Published: 1 April 2010
PDF [268 KB, uploaded 1 April 2016]

Abstract

The 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.
Keywords: Moment-Curvature; Neutral Network Moment-Curvature; Neutral Network
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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Bağcı, M. Neural Network Model for Moment-Curvature Relationship of Reinforced Concrete Sections. Math. Comput. Appl. 2010, 15, 66-78.

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