Xiang-Yang Han

An interpretable multi-scale deep learning framework for dam displacement prediction and automated early warning of structural health monitoring

Accurate prediction of displacement and early warning are fundamental to dam structural health monitoring (SHM). Hydrostatic, thermal, and aging-related environmental drivers affect dam displacements at different response rates, leading to heterogeneous hysteresis effects. Existing models often rely on fixed or single-...