A U-net based reconstruction of high-fidelity simulation results for flow around a ship hull based on low-fidelity inviscid flow simulation
In this study, neural networks are trained to transform inviscid simulation data for flow around a ship hull into data representative of viscous flow simulations. The objective is to provide high-fidelity viscous flow simulation data using machine learning in conjunction with inviscid flow simulatio...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Elsevier
2025-01-01
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| Colección: | International Journal of Naval Architecture and Ocean Engineering |
| Materias: | |
| Acceso en línea: | http://www.sciencedirect.com/science/article/pii/S2092678225000342 |
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