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...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , , |
|---|---|
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
MDPI AG
2025-05-01
|
| Σειρά: | Mathematics |
| Θέματα: | |
| Διαθέσιμο Online: | https://www.mdpi.com/2227-7390/13/10/1571 |
| Ετικέτες: |
Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!
|