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...
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| Autor principal: | |
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| Formato: | Artigo |
| Idioma: | Chinês |
| Publicado em: |
Editorial Office of Journal of Changjiang River Scientific Research Institute
2026-07-01
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| coleção: | 长江科学院院报 |
| Assuntos: | |
| Acesso em linha: | http://ckyyb.crsri.cn/fileup/1001-5485/PDF/1777299698953-1528267579.pdf |
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