| Issue |
E3S Web Conf.
Volume 283, 2021
2021 3rd International Conference on Civil, Architecture and Urban Engineering (ICCAUE 2021)
|
|
|---|---|---|
| Article Number | 01022 | |
| Number of page(s) | 4 | |
| Section | Research on Civil Engineering and Geotechnical Hydrological Structure | |
| DOI | https://doi.org/10.1051/e3sconf/202128301022 | |
| Published online | 07 July 2021 | |
A Real-Time Structural Damage Detection method for High-Pile Wharf Foundations
College of Civil Engineering, Tongji University, Shanghai 200092, China
* Corresponding author: 1930156@tongji.edu.cn
As one of the most common structural forms in port engineering, the operation environment of high-pile wharf is quite harsh and complex, and its pile foundation often produces structural damage of different degrees. Until now, there is a lack of efficient, safe and economic damage detection methods. A novel and precise real-time structural damage detection (SDD) method using both finite element modelling (FEM) and 1D convolutional neural networks (CNNs) is established in this study. The results indicate that the proposed method could accurately identify the presence and location of damage in real time. The results also demonstrated that the proposed 1D CNNs based model are more sensitive to the longitudinal and lateral displacement responses of the high-pile wharf structure.
© The Authors, published by EDP Sciences, 2021
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