Ali Raza

Physics-informed neural networks for early-warning fatigue damage detection and localization in a steel railway bridge using sparse ambient monitoring data

This study develops a strain-based monitoring approach, supported by a physics-informed neural network (PINN), for early detection of fatigue damage in a steel railway bridge and provides a reproducible, low-cost, and interpretable basis for proactive bridge maintenance.