Engineering-informed machine learning for bond-strength prediction, mechanism discovery, and reliability assessment of FRP-reinforced seawater sea-sand concrete
The bond behaviour between fiber-reinforced polymer (FRP) bars and seawater sea-sand concrete (SWSSC) governs load transfer, anchorage performance, crack development, and the structural reliability of marine concrete members. Although recent machine-learning (ML) models have demonstrated high predictive accuracy, they...