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Computers and Concrete Volume 36, Number 1, July 2025 , pages 51-71 DOI: https://doi.org/10.12989/cac.2025.36.1.051 |
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Strength estimation of concrete columns laterally confined with CFRP and TSR using various machine learning models |
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Mohammed Berradia, Nabil Ben Kahla, Muhammad Arshad, Ali Raza and Elhem Ghorbel
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| Abstract | ||
| This study presents enhanced multilayer perceptron (MLP) neural network models—MLP-Bat and MLP-TLBO—for predicting the compressive strength of concrete columns transversely confined with carbon fiber-reinforced polymer (CFRP) sheets and transverse steel reinforcement (TSR) such as ties or spirals. A comprehensive experimental database was compiled from the literature and utilized for artificial neural network (ANN) modeling. The proposed models were benchmarked against existing empirical formulations and theoretical models. Results demonstrated that the MLP-Bat model outperformed the MLP-TLBO model and empirical formulations in terms of prediction accuracy, with statistical coefficients of MAE=6.953, RMSE=7.857, and R2=0.988 for MLP-Bat, compared to MAE=7.865, RMSE=7.391, and R2=0.981 for MLP-TLBO, and MAE=11.875, RMSE=9.323, and R2=0.948 for the empirical model. These findings highlight the superior accuracy of the MLP-Bat model, making it a reliable tool for predicting the axial strength of CFRP-confined concrete columns reinforced with TSR. | ||
| Key Words | ||
| artificial neural networks; axial strength; Bat optimization algorithm; CFRP; columns; MLP-TLBO | ||
| Address | ||
| Mohammed Berradia: Department of Civil Engineering, Laboratory of Structures, Geotechnics and Risks (LSGR), Hassiba Benbouali University of Chlef, B.P 78C, Ouled Fares Chlef 02180, Algeria Nabil Ben Kahla and Muhammad Arshad: 1) Department of Civil Engineering, College of Engineering, King Khalid University, PO Box 394, Abha 61411 Kingdom of Saudi Arabia, 2) Center for Engineering and Technology Innovations, King Khalid University, Abha 61421, Saudi Arabia Ali Raza: Department of Civil Engineering, University of Engineering and Technology Taxila, 47050, Pakistan Elhem Ghorbel: CY Cergy Paris University, 5 mails Gay LUSSAC, Neuville-sur-Oise—Cergy-Pontoise CEDEX 95031, France | ||