Physics-Informed Neural Networks for the Structural Analysis and Monitoring of Railway Bridges: A Systematic Review
Physics-informed neural networks (PINNs) offer a mesh-free approach to solving partial differential equations (PDEs) with embedded physical constraints. Although PINNs have gained traction in various engineering fields, their adoption for railway bridge analysis remains under-explored. To address th...
Na minha lista:
| Principais autores: | , , , , |
|---|---|
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
MDPI AG
2025-05-01
|
| 叢編: | Mathematics |
| 主題: | |
| 在線閱讀: | https://www.mdpi.com/2227-7390/13/10/1571 |
| 標簽: |
沒有標簽, 成為第一個標記此記錄!
|