A mixed one-equation subgrid model for large-eddy simulation

2002 ◽  
Vol 23 (4) ◽  
pp. 413-425 ◽  
Author(s):  
Siniša Krajnović ◽  
Lars Davidson
2006 ◽  
Vol 18 (9) ◽  
pp. 095101 ◽  
Author(s):  
Guoxin Wei ◽  
Ivana Vinkovic ◽  
Liang Shao ◽  
Serge Simoëns

2012 ◽  
Vol 134 (3) ◽  
Author(s):  
A. Feymark ◽  
N. Alin ◽  
R. Bensow ◽  
C. Fureby

In this work, we use large eddy simulation (LES) to study the influence of grid and subgrid model on the lift and drag force predictions of a fixed cylinder undergoing streamwise sinusoidal oscillations in a steady flow, resulting in a varying Reynolds number, Re, within the range 405 ≤ Re ≤ 2482. This benchmark case is a first step toward studying engineering applications related to flow-induced vibrations. We examine the influence of both grid resolution and the subgrid model using implicit and explicit LES. The methodology used, LES based on a finite-volume method capable of handling moving meshes, are found to provide force predictions that agree well with experimentally measured data, with respect both to the overall flow development and force magnitude.


1991 ◽  
Vol 45 (2) ◽  
pp. 239-249 ◽  
Author(s):  
Ye Zhou ◽  
George Vahala

Subgrid-scale closures for magnetohydodynamic (MHD) turbulence are examined using the filtering technique. From the similarities between incompressible MHD turbulence and its hydrodynamic counterpart, as well as ideas from dynamo theory, a subgrid model is constructed from the large-eddy simulation (LES) of MHD turbulence. This model should find applicability in treating LES of the reversed-field pinch.


2008 ◽  
Vol 130 (2) ◽  
Author(s):  
J.-C. Jouhaud ◽  
P. Sagaut ◽  
B. Enaux ◽  
J. Laurenceau

Accuracy and reliability of large-eddy simulation data in a really complex industrial geometry are invesigated. An original methodology based on a response surface for LES data is introduced. This surrogate model for the full LES problem is built using the Kriging technique, which enables a low-cost optimal linear interpolation of a restricted set of large-eddy simulation (LES) solutions. Therefore, it can be used in most realistic industrial applications. Using this surrogate model, it is shown that (i) optimal sets of simulation parameters (subgrid model constant and artificial viscosity parameter in the present case) can be found; (ii) optimal values, as expected, depend on the cost functional to be minimized. Here, a realistic approach, which takes into account experimental data sparseness, is introduced. It is observed that minimization of the error evaluated using a too small subset of reference data may yield a global deterioration of the results.


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