Interpretable Constrained Monotonic Neural Network Model for Fiber-Reinforced Polymer (FRP) Shear Contribution in Strengthened Reinforced Concrete (RC) Beams
This study includes an interpretable machine learning (ML) framework for predicting the shear contribution of externally bonded fiber-reinforced polymer (FRP) composites in reinforced concrete beams. A database including total 313 experimental specimens was collected from previous experimental research. The data screen...