A Near-Wall Methodology for Large-Eddy Simulation Based on Dynamic Hybrid RANS-LES.

IF 2.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Entropy Pub Date : 2024-12-14 DOI:10.3390/e26121095
Michael Tullis, D Keith Walters
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Abstract

Attempts to mitigate the computational cost of fully resolved large-eddy simulation (LES) in the near-wall region include both the hybrid Reynolds-averaged Navier-Stokes/LES (HRL) and wall-modeled LES (WMLES) approaches. This paper presents an LES wall treatment method that combines key attributes of the two, in which the boundary layer mesh is sized in the streamwise and spanwise directions comparable to WMLES, and the wall-normal mesh is comparable to a RANS simulation without wall functions. A mixing length model is used to prescribe an eddy viscosity in the near-wall region, with the mixing length scale limited based on local mesh size. The RANS and LES regions are smoothly blended using the dynamic hybrid RANS-LES (DHRL) framework. The results are presented for the turbulent channel flow at two Reynolds numbers, and comparison to the DNS results shows that the mean and fluctuating quantities are reasonably well predicted with no apparent log-layer mismatch. A detailed near-wall meshing strategy for the proposed method is presented, and estimates indicate that it can be implemented with approximately twice the number of grid points as traditional WMLES, while avoiding the difficulties associated with analytical or numerical wall functions and modified wall boundary conditions.

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基于动态混合ranss - les的大涡近壁模拟方法。
为了降低近壁区域全分辨大涡模拟(LES)的计算成本,包括混合reynolds -平均Navier-Stokes/LES (HRL)和壁面模拟LES (WMLES)方法。本文提出了一种结合两者关键属性的LES壁面处理方法,其中边界层网格在流向和展向方向上的大小与WMLES相当,壁面法线网格可与没有壁面函数的RANS模拟相媲美。采用混合长度模型来描述近壁区域的涡流粘度,混合长度尺度以局部网格尺寸为限。使用动态混合ranss -LES (DHRL)框架平滑地混合了RANS和LES区域。本文给出了两个雷诺数下湍流通道流动的结果,并与DNS结果进行了比较,结果表明平均量和波动量都得到了较好的预测,没有明显的对数层失配。提出了一种详细的近壁网格划分策略,估计表明,该方法可以实现大约两倍于传统WMLES的网格点数,同时避免了解析或数值壁面函数和修改壁面边界条件相关的困难。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Entropy
Entropy PHYSICS, MULTIDISCIPLINARY-
CiteScore
4.90
自引率
11.10%
发文量
1580
审稿时长
21.05 days
期刊介绍: Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.
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