Analysis of Damage in a Warren Truss Bridge Using CAE and DANN Neural Networks
Bridges require constant monitoring to detect damages. This study analyzes the Japanese Warren truss bridge using neural networks: Convolutional Autoencoder (CAE) and Domain-Adversarial Neural Network (DANN). The methodology focuses on two aspects: reconstruction of bridge acceleration data with CAE...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
EDP Sciences
2024-01-01
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| Edice: | E3S Web of Conferences |
| On-line přístup: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/116/e3sconf_icsce2024_02002.pdf |
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