Numerical Model of Pipeline Transient Flow Based on Physics-Informed Neural Networks
[Objective] To address the limited adaptability of traditional numerical methods for water hammer under complex boundary and uncertain conditions， as well as the constrained convergence efficiency and prediction accuracy of Physics-Informed Neural Networks （PINNs） in strongly nonlinear transient flo...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Artigo |
| Sprache: | Chinês |
| Veröffentlicht: |
Editorial Office of Journal of Changjiang River Scientific Research Institute
2026-07-01
|
| Schriftenreihe: | 长江科学院院报 |
| Schlagworte: | |
| Online-Zugang: | http://ckyyb.crsri.cn/fileup/1001-5485/PDF/1777299698953-1528267579.pdf |
| Tags: |
Keine Tags, Fügen Sie das erste Tag hinzu!
|