On discretization errors and subgrid scale model implementations in large eddy simulations
✍ Scribed by A. Viré; B. Knaepen
- Book ID
- 108164224
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 430 KB
- Volume
- 228
- Category
- Article
- ISSN
- 0021-9991
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Recently, the e-expansion and recursive renormalization group (RNG) theories as well as approximate inertial manitblds (AIM) have been exploited as means of systematically modeling subgrid scales in large-eddy simulations (LES). Although these theoretical approaches are rather complicated mathematic
Two runs of a large-eddy simulation model with Deardorff's and Schumann's subgrid parametrizations have been compared in order to analyze spurious effects at the top of the mixed layer due to a presence of a strong temperature "jump". Simulations performed showed that Schumann's subgrid eddy viscosi
Second-and fourth-order-accurate spatial discretization methods give rise to discretization errors which are larger than the corresponding subgrid terms in large eddy simulation of compressible shear layers in 2D, if the ratio between the filter width and the grid spacing is close to one. Even if an