Abstract: AbstractIn structural health monitoring (SHM), structural damage detection and localization have made significant advances with deep learning–based methods. While finite element model (FEMs) have been employed to simulate ...

Abstract: Abstract Accurate assessment of structural attributes is vital for flood risk evaluation and mitigation planning. Manual surveys for such data are expensive and time-consuming, while automated methods often rely solely on ...