Machine learning and SHAP for predicting the shear contribution of FRP strengthening in beams
Machine learning (ML) methods are frequently applied for reliable prediction of the shear strength contribution of fiber-reinforced polymer (FRP) strengthened reinforced concrete (RC) beams. While offering high accuracy, prior ML models failed to interpret the rationale behind predictions. Model interpretability is c...