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Temporally regularized direct numerical simulation

delete2010-08-01
delete10
PRE
AI
W
William Layton
C
C. David Pruett
L
Leo G. Rebholz *
DOI:10.1016/j.amc.2010.05.031delete
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摘要

摘要

En 中文
Experience with fluid-flow simulation suggests that, in some instances, under-resolved direct numerical simulation (DNS), without a residual-stress model per se but with artificial damping of small scales to account for energy lost in the cascade from resolved to unresolved scales, may be as reliable as simulations based on more complex models of turbulence. One efficient and versatile manner to selectively damp under-resolved spatial scales is by a relaxation regularization, e. g. Stolz and Adams [S. Stolz, N.A. Adams, An approximate deconvolution procedure for large eddy simulation, Phys. Fluids II (1999) 1699-1701]. We consider the analogous approach based on time scales, time filtering and damping of under-resolved temporal features. The paper explores theoretical and practical aspects of temporally damped fluid-flow simulations. We prove existence of solutions to the resulting continuum model. We also establish the effect of the damping of under-resolved temporal features as the energy balance and dissipation and prove that the time fluctuations? 0 in a precise sense. The method is then demonstrated to obtain both steady-state and time-dependent coarse-grid solutions of the Navier-Stokes equations. (C) 2010 Elsevier Inc. All rights reserved.
Keyword:
Temporal filtering
Turbulence
Deconvolution
Time relaxation

期刊

Applied Mathematics and Computation 封面图
Applied Mathematics and Computation
IF:
3.4
论文数:
2.3W
被引数:
3.3W

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P
pennsylvania commonwealth system of higher education (pcshe)
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12.9W
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被引数: 177
J
James Madison University
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1.5K
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被引数: 1.2K
C
Clemson University
学者数:
1.3W
论文数: 1.1W
被引数: 1.4W
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