The Approximate Deconvolution Model for Large-Eddy Simulation of Compressible Flows With Finite Volume SchemesSource: Journal of Fluids Engineering:;2002:;volume( 124 ):;issue: 004::page 829Author:R. von Kaenel
,
Ph.D. Student
,
J. B. Vos
,
Senior Research Scientist
,
N. A. Adams
,
L. Kleiser
DOI: 10.1115/1.1511167Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The approximate deconvolution model for large-eddy simulation is formulated for a second-order finite volume scheme. With the approximate deconvolution model, an approximation of the unfiltered solution is obtained by repeated filtering, and given a good approximation of the unfiltered solution, the nonlinear terms of the Navier-Stokes equations are computed directly. The effect of scales not represented on the numerical grid is modeled by a relaxation regularization involving a secondary filter operation. A turbulent channel flow at a Mach number of M=1.5 and a Reynolds number based on bulk quantities of Re=3000 is selected for validation of the approximate deconvolution model implementation in a finite volume code. A direct numerical simulation of this configuration has been computed by Coleman et al. Overall, our large-eddy simulation results show good agreement with our filtered direct numerical simulation data. For this rather simple configuration and the low-order spatial discretization, differences between approximate deconvolution model and a no-model computation are found to be small.
keyword(s): Filtration , Turbulence , Eddies (Fluid dynamics) , Computer simulation , Reynolds number , Simulation , Relaxation (Physics) , Navier-Stokes equations , Channel flow , Numerical analysis , Compressible flow , Computation , Equations , Filters , Flow (Dynamics) , Approximation , Mach number AND Temperature ,
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contributor author | R. von Kaenel | |
contributor author | Ph.D. Student | |
contributor author | J. B. Vos | |
contributor author | Senior Research Scientist | |
contributor author | N. A. Adams | |
contributor author | L. Kleiser | |
date accessioned | 2017-05-09T00:07:55Z | |
date available | 2017-05-09T00:07:55Z | |
date copyright | December, 2002 | |
date issued | 2002 | |
identifier issn | 0098-2202 | |
identifier other | JFEGA4-27179#829_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/127035 | |
description abstract | The approximate deconvolution model for large-eddy simulation is formulated for a second-order finite volume scheme. With the approximate deconvolution model, an approximation of the unfiltered solution is obtained by repeated filtering, and given a good approximation of the unfiltered solution, the nonlinear terms of the Navier-Stokes equations are computed directly. The effect of scales not represented on the numerical grid is modeled by a relaxation regularization involving a secondary filter operation. A turbulent channel flow at a Mach number of M=1.5 and a Reynolds number based on bulk quantities of Re=3000 is selected for validation of the approximate deconvolution model implementation in a finite volume code. A direct numerical simulation of this configuration has been computed by Coleman et al. Overall, our large-eddy simulation results show good agreement with our filtered direct numerical simulation data. For this rather simple configuration and the low-order spatial discretization, differences between approximate deconvolution model and a no-model computation are found to be small. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | The Approximate Deconvolution Model for Large-Eddy Simulation of Compressible Flows With Finite Volume Schemes | |
type | Journal Paper | |
journal volume | 124 | |
journal issue | 4 | |
journal title | Journal of Fluids Engineering | |
identifier doi | 10.1115/1.1511167 | |
journal fristpage | 829 | |
journal lastpage | 835 | |
identifier eissn | 1528-901X | |
keywords | Filtration | |
keywords | Turbulence | |
keywords | Eddies (Fluid dynamics) | |
keywords | Computer simulation | |
keywords | Reynolds number | |
keywords | Simulation | |
keywords | Relaxation (Physics) | |
keywords | Navier-Stokes equations | |
keywords | Channel flow | |
keywords | Numerical analysis | |
keywords | Compressible flow | |
keywords | Computation | |
keywords | Equations | |
keywords | Filters | |
keywords | Flow (Dynamics) | |
keywords | Approximation | |
keywords | Mach number AND Temperature | |
tree | Journal of Fluids Engineering:;2002:;volume( 124 ):;issue: 004 | |
contenttype | Fulltext |