Liang-Jun Li

Interpretable Machine Learning for Predicting Residual Drift Ratios in Reinforced Concrete Bridge Piers

Accurate prediction of the residual drift ratio of reinforced concrete bridge piers is challenging because conventional methods are computationally expensive, time-consuming, and unable to effectively capture complex nonlinear interactions among multiple influencing factors. To address these limitations, this study pro...