A Real-Time Structural Damage Detection method for High-Pile Wharf Foundations

As one of the most common structural forms in port engineering, operation environment high-pile wharf is quite harsh and complex, its pile foundation often produces damage different degrees. Until now, there a lack efficient, safe economic detection methods. A novel precise real-time (SDD) method using both finite element modelling (FEM) 1D convolutional neural networks (CNNs) established this study. The results indicate that proposed could accurately identify presence location real time. also demonstrated CNNs based model are more sensitive to longitudinal lateral displacement responses structure.