Introduction applied large eddy simulation

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作者
Whittle Laboratory, Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, United Kingdom [1 ]
不详 [2 ]
机构
来源
Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. | 2009年 / 1899卷 / 2809-2818期
关键词
Best practices - Flow governing equations - Hybrid RANS-LES - Industrial practices - Industrial practitioners - Initial conditions - Reynolds-Averaged Navier-Stokes - Technical challenges;
D O I
10.1098/rsta.2009.0065
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学科分类号
摘要
Large eddy simulation (LES) is now seen more and more as a viable alternative to current industrial practice, usually based on problem-specific Reynolds-averaged Navier-Stokes (RANS) methods. Access to detailed flow physics is attractive to industry, especially in an environment in which computer modelling is bound to play an ever increasing role. However, the improvement in accuracy and flow detail has substantial cost. This has so far prevented wider industrial use of LES. The purpose of the applied LES discussion meeting was to address questions regarding what is achievable and what is not, given the current technology and knowledge, for an industrial practitioner who is interested in using LES. The use of LES was explored in an application-centred context between diverse fields. The general flow-governing equation form was explored along with various LES models. The errors occurring in LES were analysed. Also, the hybridization of RANS and LES was considered. The importance of modelling relative to boundary conditions, problem definition and other more mundane aspects were examined. It was to an extent concluded that for LES to make most rapid industrial impact, pragmatic hybrid use of LES, implicit LES and RANS elements will probably be needed. Added to this further, highly industrial sector model parametrizations will be required with clear thought on the key target design parameter(s). The combination of good numerical modelling expertise, a sound understanding of turbulence, along with artistry, pragmatism and the use of recent developments in computer science should dramatically add impetus to the industrial uptake of LES. In the light of the numerous technical challenges that remain it appears that for some time to come LES will have echoes of the high levels of technical knowledge required for safe use of RANS but with much greater fidelity. © 2009 The Royal Society.
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