Efficient Implementation of Nonlinear Deconvolution Methods for Implicit Large-Eddy Simulation

S. Hickel () and N. A. Adams
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S. Hickel: Technische Universität München, Institute of Aerodynamics
N. A. Adams: Technische Universität München, Institute of Aerodynamics

A chapter in High Performance Computing in Science and Engineering ’06, 2007, pp 293-306 from Springer

Abstract: Abstract The adaptive local deconvolution method (ALDM) provides a systematic framework for the implicit large-eddy simulation (ILES) of turbulent flows. Exploiting numerical truncation errors, the subgrid scale model of ALDM is implicitly contained within the discretization. An explicit computation of model terms therefore becomes unnecessary. Subject of the present paper is the efficient implementation and the application to large-scale computations of this method. We propose a modification of the numerical algorithm that allows for reducing the amount of computational operations without affecting the quality of the LES results. Computational results for isotropic turbulence and plane channel flow show that the proposed simplified adaptive local deconvolution (SALD) method performs similarly to the original ALDM and at least as well as established explicit models.

Keywords: Large Eddy Simulation; Discretization Scheme; Isotropic Turbulence; Plane Channel; Cell Face (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-36183-1_21

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DOI: 10.1007/978-3-540-36183-1_21

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