Prediction and interpretation of shear strength in rectangular reinforced concrete walls under axial load using GP-optimized XGBoost
This study investigates the applicability of machine learning models for predicting the shear strength of rectangular reinforced concrete (RC) walls subjected to axial load. A comprehensive experimental database consisting of 456 wall specimens was compiled, including geometric parameters, reinforcement ratios, materia...