A Siha

Monotonicity-constrained transfer learning for predicting residual tensile strength of GFRP under wind–sand erosion

Accurate prediction of residual mechanical properties in fiber-reinforced polymer (FRP) composites under harsh environmental conditions is crucial for ensuring structural durability and service safety. This study proposes a monotonicity-constrained transfer learning ResNet (TL-Re...