1st Flow Control Conference 2002
DOI: 10.2514/6.2002-3280
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Variational Multiscale Modeling for Turbulence Control

Abstract: We explore the capabilities of the variational multiscale (VMS) method in the context of turbulence control by applying VMS to the simulation of a simple opposition control strategy for turbulent channel flow with the results compared to prior direct numerical simulations and large-eddy simulations (LES). In all cases, the VMS method is found to be more efficient and more accurate than traditional LES with the dynamic subgrid-scale model. The simplicity, accuracy, and generality of VMS makes it particularly at… Show more

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Cited by 16 publications
(18 citation statements)
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“…Subsequent studies have also confirmed the good behavior of the variational multiscale method on a variety of problems: see Hughes, Oberai, and Mazzei, 11 Winckelmans and Jeanmart, 12 Oberai and Hughes, 13 Farhat and Koobus, 14 Jeanmart and Winckelmans, 15 Holmen et al, 16 Koobus and Farhat,17 Ramakrishnan and Collis. [18][19][20][21] In this work, the spectral eddy viscosities for the conventional dynamic Smagorinsky model and the variational multiscale model are calculated and examined for a range of discretizations. The spectral eddy viscosity is decomposed into terms associated with Reynolds-type interactions, crossstress interactions, and the model.…”
Section: Introductionmentioning
confidence: 99%
“…Subsequent studies have also confirmed the good behavior of the variational multiscale method on a variety of problems: see Hughes, Oberai, and Mazzei, 11 Winckelmans and Jeanmart, 12 Oberai and Hughes, 13 Farhat and Koobus, 14 Jeanmart and Winckelmans, 15 Holmen et al, 16 Koobus and Farhat,17 Ramakrishnan and Collis. [18][19][20][21] In this work, the spectral eddy viscosities for the conventional dynamic Smagorinsky model and the variational multiscale model are calculated and examined for a range of discretizations. The spectral eddy viscosity is decomposed into terms associated with Reynolds-type interactions, crossstress interactions, and the model.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally in VMS, the partition L e that separates the resolved scales as large and small is required. This is a crucial parameter that determines the accuracy of VMS simulations [89,90,129,133]. Here, we have demonstrated that a 4×4 planar mesh using p = 5 is sufficient to produce results with no obvious adverse effects of numerical dissipation.…”
Section: Parameter Selectionmentioning
confidence: 79%
“…The authors are not aware of any VMS implementation that has not employed some form of dealiasing. Therefore, preventing the adverse effects of aliasing errors on the large scales is necessary to obtain results that are comparable with prior VMS implementations [89,90,123,129,133].…”
Section: Polynomial Dealiasing (Pd)mentioning
confidence: 99%
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“…This provides us with an attractive framework for model development in which the numerical errors can be controlled, such that the true performance of the model can be assessed. The first implementations of the variational multiscale LES method [2,3,4] used global spectral methods. These methods naturally employ an orthogonal modal basis, such that the scale partitioning becomes straightforward.…”
Section: Introductionmentioning
confidence: 99%