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Implicit subgrid‐scale modeling by adaptive local deconvolution
Author(s) -
Hickel Stefan,
Adams Nikolaus A.
Publication year - 2004
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.200410211
Subject(s) - conservation law , discretization , truncation error , burgers' equation , deconvolution , mathematics , finite volume method , scale (ratio) , partial differential equation , mathematical optimization , mathematical analysis , algorithm , physics , mechanics , quantum mechanics
Abstract A class of implicit Subgrid‐Scale (SGS) models for Large‐Eddy Simulation (LES) is obtained from a new approach for the finite‐volume discretization of hyperbolic conservation laws. The extension of a standard deconvolution operator and the choice of a suitable numerical flux function result in a truncation error which can be forced to have physical significance. As determined by a modified‐differential‐equation analysis, the free parameters of this implicit SGS model can be adjusted to approximate a known explicit SGS model. Computational results for the viscous Burgers equation show that the model with parameters identified by evolutionary optimization gives significantly better predictions than other models. (© 2004 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)