An adaptive local deconvolution method for implicit LES with optimized spectral eddy viscosity

Stefan Hickel; Nikolaus A. Adams; J. Andrzej Domaradzki

An adaptive local deconvolution method for implicit LES with optimized spectral eddy viscosity

Stefan Hickel^*, Nikolaus A. Adams, J. Andrzej Domaradzki

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

Abstract

The Adaptive Local Deconvolution Method (ALDM) is a new nonlinear discretization scheme designed for Implicit Large-Eddy Simulation (ILES). Free parameters of a solution-adaptive deconvolution operator allow to adjust the numerical truncation error which acts as implicit subgrid-scale (SGS) model. To assign physically appropriate values to these parameters the spectral numerical viscosity is analyzed. By an automatic optimization employing an evolutionary algorithm a set of parameters was found which yields an excellent spectral match for the numerical viscosity with theoretical predictions. Computational results for forced and decaying three-dimensional homogeneous isotropic turbulence show an excellent agreement with theory and experimental data.

Original language	English
Pages	805-810
Number of pages	6
Publication status	Published - 1 Dec 2005
Externally published	Yes
Event	4th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 4 - Williamsburg, VA, United States Duration: 27 Jun 2005 → 29 Jun 2005

Conference

Conference	4th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 4
Country/Territory	United States
City	Williamsburg, VA
Period	27/06/05 → 29/06/05

Cite this

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title = "An adaptive local deconvolution method for implicit LES with optimized spectral eddy viscosity",

abstract = "The Adaptive Local Deconvolution Method (ALDM) is a new nonlinear discretization scheme designed for Implicit Large-Eddy Simulation (ILES). Free parameters of a solution-adaptive deconvolution operator allow to adjust the numerical truncation error which acts as implicit subgrid-scale (SGS) model. To assign physically appropriate values to these parameters the spectral numerical viscosity is analyzed. By an automatic optimization employing an evolutionary algorithm a set of parameters was found which yields an excellent spectral match for the numerical viscosity with theoretical predictions. Computational results for forced and decaying three-dimensional homogeneous isotropic turbulence show an excellent agreement with theory and experimental data.",

author = "Stefan Hickel and Adams, {Nikolaus A.} and Domaradzki, {J. Andrzej}",

year = "2005",

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language = "English",

pages = "805--810",

note = "4th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 4 ; Conference date: 27-06-2005 Through 29-06-2005",

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T1 - An adaptive local deconvolution method for implicit LES with optimized spectral eddy viscosity

AU - Hickel, Stefan

AU - Adams, Nikolaus A.

AU - Domaradzki, J. Andrzej

PY - 2005/12/1

Y1 - 2005/12/1

N2 - The Adaptive Local Deconvolution Method (ALDM) is a new nonlinear discretization scheme designed for Implicit Large-Eddy Simulation (ILES). Free parameters of a solution-adaptive deconvolution operator allow to adjust the numerical truncation error which acts as implicit subgrid-scale (SGS) model. To assign physically appropriate values to these parameters the spectral numerical viscosity is analyzed. By an automatic optimization employing an evolutionary algorithm a set of parameters was found which yields an excellent spectral match for the numerical viscosity with theoretical predictions. Computational results for forced and decaying three-dimensional homogeneous isotropic turbulence show an excellent agreement with theory and experimental data.

AB - The Adaptive Local Deconvolution Method (ALDM) is a new nonlinear discretization scheme designed for Implicit Large-Eddy Simulation (ILES). Free parameters of a solution-adaptive deconvolution operator allow to adjust the numerical truncation error which acts as implicit subgrid-scale (SGS) model. To assign physically appropriate values to these parameters the spectral numerical viscosity is analyzed. By an automatic optimization employing an evolutionary algorithm a set of parameters was found which yields an excellent spectral match for the numerical viscosity with theoretical predictions. Computational results for forced and decaying three-dimensional homogeneous isotropic turbulence show an excellent agreement with theory and experimental data.

UR - http://www.scopus.com/inward/record.url?scp=84867562950&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84867562950

SP - 805

EP - 810

T2 - 4th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 4

Y2 - 27 June 2005 through 29 June 2005

ER -

An adaptive local deconvolution method for implicit LES with optimized spectral eddy viscosity

Abstract

Conference

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