Prediction of Moment Redistribution in Statically Indeterminate Reinforced Concrete Structures Using Artificial Neural Network and Support Vector Regression

In this paper, a new prediction model is proposed that fully considers the various parameters influencing the moment redistribution in statically indeterminate reinforced concrete (RC) structures by using the artificial neural network (ANN) and support vector regression (SVR). Twenty-four continuous RC beams and 12 continuous RC frames with various design parameters were tested to investigate the process of moment redistribution. Based on the experimental results obtained from this study and the published literature, a reliable database with 111 datasets was developed for the training and testing of the models. The predicted values of the proposed models, together with the estimations of the widely used code methods, were compared with the experimental results in the database. The analysis results showed that both the proposed ANN and SVR models exhibit high accuracy and reliability for the prediction of the moment redistribution

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