So sánh phương pháp
Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.
| Mô phỏng xoáy lớn× | Mô phỏng Vòng xoáy Tách rời× | |
|---|---|---|
| Lĩnh vực | Động lực học chất lưu | Động lực học chất lưu |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1963 | 1997 |
| Người khởi xướng≠ | Joseph Smagorinsky | Philippe Spalart |
| Loại≠ | Scale-resolving turbulence simulation | Hybrid turbulence modeling approach |
| Công trình gốc≠ | Smagorinsky, J. (1963). General circulation experiments with the primitive equations: I. The basic experiment. Monthly Weather Review, 91(3), 99-164. DOI ↗ | 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 ↗ |
| Tên gọi khác | LES, subgrid-scale modeling | DES, hybrid RANS-LES |
| Liên quan | 5 | 5 |
| Tóm tắt≠ | 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. | 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. |
| ScholarGateBộ dữ liệu ↗ |
|
|