Recent progress on reliability assessment of large-eddy simulation

被引:8
作者
Geurts, Bernard J. [1 ,2 ]
Rouhi, Amirreza [3 ,4 ]
Piomelli, Ugo [3 ]
机构
[1] Univ Twente, Dept Appl Math, Multiscale Modeling & Simulat, POB 217, NL-7500 AE Enschede, Netherlands
[2] Eindhoven Univ Technol, Fac Appl Phys, Ctr Computat Energy Res, Multiscale Phys Energy Syst, POB 513, NL-5600 MB Eindhoven, Netherlands
[3] Queens Univ, Dept Mech & Mat Engn, Kingston, ON K7L 4L9, Canada
[4] Univ Melbourne, Dept Mech Engn, Melbourne, Vic 3010, Australia
关键词
SUBGRID-SCALE MODEL; TURBULENT FLOWS; ERRORS;
D O I
10.1016/j.jfluidstructs.2019.03.008
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Reliability assessment of large-eddy simulation (LES) of turbulent flows requires consideration of errors due to shortcomings in the modeling of sub-filter scale dynamics and due to discretization of the governing filtered Navier-Stokes equations. The Integral Length-Scale Approximation (ILSA) model is a pioneering sub-filter parameterization that incorporates both these contributions to the total simulation error, and provides user control over the desired accuracy of a simulation, It combines an imposed target for the 'sub-filter activity' and a flow-specific length-scale definition to achieve LES predictions with pre-defined fidelity level. The performance of the 'global' and the 'local' formulations of ILSA, implemented as eddy-viscosity models, for turbulent channel flow and for separated turbulent flow over a backward-facing step are investigated here. We show excellent agreement with reference direct numerical simulations, with experimental data and with predictions based on other, well-established sub-filter models. The computational overhead is found to be close to that of a basic Smagorinsky sub-filter model. (C) 2019 Elsevier Ltd. All rights reserved.
引用
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页数:13
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