Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Simulation aux grandes échelles× | Simulation Numérique Directe× | |
|---|---|---|
| Domaine | Dynamique des fluides | Dynamique des fluides |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1963 | 1971 |
| Auteur d'origine≠ | Joseph Smagorinsky | Steven Orszag |
| Type≠ | Scale-resolving turbulence simulation | Full-scale turbulence resolution method |
| Source fondatrice≠ | Smagorinsky, J. (1963). General circulation experiments with the primitive equations: I. The basic experiment. Monthly Weather Review, 91(3), 99-164. DOI ↗ | Orszag, S. A. (1971). Numerical simulation of incompressible flows within simple boundaries: accuracy. Journal of Fluid Mechanics, 49(1), 75-112. DOI ↗ |
| Alias | LES, subgrid-scale modeling | DNS, resolved turbulence simulation |
| Apparentées | 5 | 5 |
| Résumé≠ | 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. | Direct Numerical Simulation (DNS) is a computational approach that solves the Navier-Stokes equations without turbulence models, resolving all scales of motion from the largest energy-containing eddies down to the smallest dissipative scales (Kolmogorov microscales). Pioneered by Steven Orszag in 1971, DNS provides complete information about turbulent flow fields and serves as a reference solution for validating turbulence models. However, extreme computational demands limit DNS to relatively simple geometries and low to moderate Reynolds numbers. |
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