A data-physics fusion framework integrating XGBoost and PINN in data-limited conditions for prediction of FRP-UHPC beam test bond strength
Pei-Fu Zhang, Daxu Zhang, Daxu Zhang, Yiliyaer Tuerxunmaimaiti, Qi Zhao, Mudassir Iqbal, Mudassir Iqbal
Topics & Concepts
InterpretabilityStructural engineeringArtificial neural networkTest dataBeam (structure)Bond strengthComputer scienceBoosting (machine learning)Mechanism (biology)Feature (linguistics)BondDerivative (finance)Reduction (mathematics)EngineeringGenetic programmingStress (linguistics)Experimental dataTest caseArtificial intelligenceAlgorithmFusionOrthotropic materialComputationMachine learningStructural Behavior of Reinforced ConcreteInnovative concrete reinforcement materialsStructural Health Monitoring Techniques