Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Моделирование отрывных течений (DES)× | Крупномасштабное моделирование вихрей× | |
|---|---|---|
| Область | Гидродинамика | Гидродинамика |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1997 | 1963 |
| Автор метода≠ | Philippe Spalart | Joseph Smagorinsky |
| Тип≠ | Hybrid turbulence modeling approach | Scale-resolving turbulence simulation |
| Основополагающий источник≠ | Spalart, P. R., Jou, W. H., Strelets, M., & Allmaras, S. R. (1997). Comments on the feasibility of LES for wings, and on a hybrid RANS/LES approach. Advances in DNS/LES, 1, 4-8. link ↗ | Smagorinsky, J. (1963). General circulation experiments with the primitive equations: I. The basic experiment. Monthly Weather Review, 91(3), 99-164. DOI ↗ |
| Другие названия | DES, hybrid RANS-LES | LES, subgrid-scale modeling |
| Связанные | 5 | 5 |
| Сводка≠ | Detached Eddy Simulation (DES) is a hybrid turbulence modeling approach introduced by Spalart in 1997 that combines the computational efficiency of RANS in attached boundary layers with the accuracy of LES in separated wake regions. By automatically switching between RANS and LES based on local grid spacing and turbulence length scales, DES provides superior predictions for flows with large separations, shear layers, and vortex shedding at a cost between pure RANS and pure LES. DES has become the standard method for complex aerospace applications involving separation and transient phenomena. | Large Eddy Simulation (LES) is a turbulence modeling technique that explicitly resolves large-scale turbulent eddies while modeling small-scale subgrid-scale (SGS) motions. Introduced by Joseph Smagorinsky in 1963, LES represents a middle ground between Reynolds-Averaged Navier-Stokes (RANS) and Direct Numerical Simulation (DNS). By capturing the energy-containing scales of turbulence, LES provides superior accuracy for transient flows and complex geometries at computational costs significantly lower than DNS. |
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