Physics-Informed Machine Learning for Hybrid Digital Twin–Enhanced Damage Detection and Localization

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 a variety of damage scenarios for ...