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2000
DOI: 10.1063/1.870294
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The subgrid-scale estimation model for high Reynolds number turbulence

Abstract: Articles you may be interested inA constraint for the subgrid-scale stresses in the logarithmic region of high Reynolds number turbulent boundary layers: A solution to the log-layer mismatch problemWe propose a formulation of the subgrid-scale estimation model in which the effects of the estimated subgrid scales on the resolved scales are obtained through the truncated Navier-Stokes dynamics and the calculation of the subgrid-scale stress tensor is not required. For high Reynolds number isotropic turbulence th… Show more

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Cited by 40 publications
(28 citation statements)
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“…This procedure can be interpreted as a defiltering or deconvolution procedure, with some high frequencies being regenerated. Several attempts to build such a procedure have been proposed by previous authors, relying on the construction of discrete inverse operator for the box filter [17,18], sometimes coupled to a kinematic reconstruction step for the high frequencies [19,20]. We propose here a different approach, which accounts explicitly for the information contained in the fine-resolution sub-domain.…”
Section: Enrichment Proceduresmentioning
confidence: 97%
“…This procedure can be interpreted as a defiltering or deconvolution procedure, with some high frequencies being regenerated. Several attempts to build such a procedure have been proposed by previous authors, relying on the construction of discrete inverse operator for the box filter [17,18], sometimes coupled to a kinematic reconstruction step for the high frequencies [19,20]. We propose here a different approach, which accounts explicitly for the information contained in the fine-resolution sub-domain.…”
Section: Enrichment Proceduresmentioning
confidence: 97%
“…For a more detailed survey of these models, we refer to books by Sagaut [1] and Geurts [2], or reviews by Lesieur and Métais [3], Grinstein and Fureby [4], and Domaradzki [5]. Domaradzki et al [6][7][8] and Bogey and Bailly [9,10] pointed out that the global amount of dissipation, as well as its spectral distribution, may be difficult to control in these methods. This has led to the development of other LES methodologies relying on high-order dissipation mechanisms, such as hyper-viscosity models [11,12], the relaxation term in the approximate deconvolution model (ADM) [13], or spectral-like/selective spatial filters [14].…”
Section: Introductionmentioning
confidence: 99%
“…The regularization can also originate directly from the numerical procedure, as in MILES, where the dissipative properties of the numerical scheme constitutes an implicit model [21,22]. In the truncated Navier-Stokes approach (TNS), proposed by Domaradzki et al [23][24][25], the filter is used to damp out the high modes. The interactions between the large and small scales provide necessary dissipation at low modes.…”
Section: Introductionmentioning
confidence: 99%