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Predicting shear capacity of rectangular hollow RC columns using neural networks
Authors: Xuan‑Bang Nguyen· Viet‑Linh Tran· Huy‑Thien Phan·Duy‑Duan Nguyen
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Asian Journal of Civil Engineering
:     : 12
Publishing year: 12/2023
This study predicts the shear strength of rectangular hollow reinforced concrete (RC) columns using artifcial neural network (ANN). A total of 120 experimental results are collected from literature and used for establishing the machine learning model.The results reveal that the proposed ANN model predicts the shear strength of rectangular hollow RC columns accurately with R2 of 0.99. Additionally, the relative importance of input parameters on the calculated shear strength of RC columns is evaluated using Shapley value. Based on the ANN model, a graphical user interface tool is also developed and readily used in predicting the shear strength of rectangular hollow RC columns.
Rectangular hollow reinforced concrete column · Shear strength · Artifcial neural network · Graphical user interface