Efficient implementation of nonlinear deconvolution methods for implicit large-eddy simulation

S. Hickel, N. A. Adams

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

11 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationHigh Performance Computing in Science and Engineering 2006 - Transactions of the High Performance Computing Center Stuttgart, HLRS 2006
Pages293-306
Number of pages14
DOIs
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event9th Results and Review Workshop on High Performance Computing in Science and Engineering, HLRS 2006 - Stuttgart, Germany
Duration: 19 Oct 200620 Oct 2006

Conference

Conference9th Results and Review Workshop on High Performance Computing in Science and Engineering, HLRS 2006
CountryGermany
CityStuttgart
Period19/10/0620/10/06

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