{"title":"SPECTRAL ANALYSIS ON REYNOLDS STRESS TRANSPORT EQUATION IN HIGH RE WALL-BOUNDED TURBULENCE","authors":"Myoungkyu Lee, R. Moser","doi":"10.1615/tsfp9.660","DOIUrl":null,"url":null,"abstract":"Despite its importance in many applications, the nature of wall-bounded turbulent flow is not well-understood. The dynamics of near-wall turbulence has been well studied, with direct numerical simulation (DNS) making an important contribution. It has been difficult to study the interaction of near-wall and outer-layer turbulence via DNS because the Reynolds numbers available via DNS have not been sufficiently high to exhibit significant scale separation. In the work presented here, we correct that short-coming. We have performed direct numerical simulation(DNS) of turbulent channel flow using a Fourier-Galerkin method in the streamwise(x) and spanwise (z) directions and a BSplines collocation method in the wall-normal (y) direction. The highest Reynolds number based on shear velocity (uτ = √ τw/ρ), Reτ is approximately 5200. To study the scale dependence of the dynamics of the Reynolds stress components, we applied a spectral analysis to the terms in the Reynolds stress transport equation (RSTE). Result shows that the large (or very large) scale motion has an important role in turbulent transport terms. Also, it has been observed that a non-trivial portion of turbulent kinetic energy (TKE) is transported to the near-wall region and dissipated by large scale motion. Introduction Recently, much research has been directed at understanding wall-bounded turbulent flows at high Reynolds number (Re). Recent advances of experimental techniques (Nagib et al., 2004; Kunkel & Marusic, 2006; Westerweel et al., 2013; Bailey et al., 2014) and computing power (Lee et al., 2013; Borrell et al., 2013; El Khoury et al., 2013) provide information not previously available. One of the most important feature of high Re wall-bounded turbulence is the separation of scales between the near wall and outer layer turbulence. Two distinct peaks of the streamwise velocity energy spectral density are observed experimentally: a small-scale peak in the near-wall region and a large-scale peak in the outer region (Hutchins & Marusic, 2007; Monty et al., 2009; Marusic et al., 2010a,b). Two such spectral peaks were confirmed by direct numerical simulation(DNS) by Lee & Moser (2015). Lee & Moser (2015) have also found that there is peak distinction in the spectral density of Reynolds stress, −u′v′, but this has not yet been observed in experiments. Since the DNS can provides such richer data with high fidelity, it is possible to compute higher order terms in three dimensions. In this work, we have focused on the Reynolds stress transport equation (RSTE) which give us information about production, transport and dissipation of the Reynolds stress tenor. However, RSTE is an averaged equation, so it is difficult to study detailed roles of turbulent motions. Hence, we have performed a spectral analysis on each terms in RSTE to observe how the motions in different length scales contribute the transport of Reynolds stresses. To our knowledge, such a spectral analysis of terms in RSTE has not previously been performed. In this work we have focused on the turbulent kinetic energy (TKE) equation and the interaction between components of the velocity fluctuations. This paper is organized as follow. First, the simulation methods and the definition of terms in RSTE are described. Then, the following are discussed: Re dependencies of terms in RSTE, spectral analysis of production, transport and dissipation, enhanced analysis of turbulent transport and interaction of velocity fluctuations in different direction by pressure-strain terms. 1 June 30 July 3, 2015 Melbourne, Australia 9 4A-3","PeriodicalId":196124,"journal":{"name":"Proceeding of Ninth International Symposium on Turbulence and Shear Flow Phenomena","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceeding of Ninth International Symposium on Turbulence and Shear Flow Phenomena","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1615/tsfp9.660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
Despite its importance in many applications, the nature of wall-bounded turbulent flow is not well-understood. The dynamics of near-wall turbulence has been well studied, with direct numerical simulation (DNS) making an important contribution. It has been difficult to study the interaction of near-wall and outer-layer turbulence via DNS because the Reynolds numbers available via DNS have not been sufficiently high to exhibit significant scale separation. In the work presented here, we correct that short-coming. We have performed direct numerical simulation(DNS) of turbulent channel flow using a Fourier-Galerkin method in the streamwise(x) and spanwise (z) directions and a BSplines collocation method in the wall-normal (y) direction. The highest Reynolds number based on shear velocity (uτ = √ τw/ρ), Reτ is approximately 5200. To study the scale dependence of the dynamics of the Reynolds stress components, we applied a spectral analysis to the terms in the Reynolds stress transport equation (RSTE). Result shows that the large (or very large) scale motion has an important role in turbulent transport terms. Also, it has been observed that a non-trivial portion of turbulent kinetic energy (TKE) is transported to the near-wall region and dissipated by large scale motion. Introduction Recently, much research has been directed at understanding wall-bounded turbulent flows at high Reynolds number (Re). Recent advances of experimental techniques (Nagib et al., 2004; Kunkel & Marusic, 2006; Westerweel et al., 2013; Bailey et al., 2014) and computing power (Lee et al., 2013; Borrell et al., 2013; El Khoury et al., 2013) provide information not previously available. One of the most important feature of high Re wall-bounded turbulence is the separation of scales between the near wall and outer layer turbulence. Two distinct peaks of the streamwise velocity energy spectral density are observed experimentally: a small-scale peak in the near-wall region and a large-scale peak in the outer region (Hutchins & Marusic, 2007; Monty et al., 2009; Marusic et al., 2010a,b). Two such spectral peaks were confirmed by direct numerical simulation(DNS) by Lee & Moser (2015). Lee & Moser (2015) have also found that there is peak distinction in the spectral density of Reynolds stress, −u′v′, but this has not yet been observed in experiments. Since the DNS can provides such richer data with high fidelity, it is possible to compute higher order terms in three dimensions. In this work, we have focused on the Reynolds stress transport equation (RSTE) which give us information about production, transport and dissipation of the Reynolds stress tenor. However, RSTE is an averaged equation, so it is difficult to study detailed roles of turbulent motions. Hence, we have performed a spectral analysis on each terms in RSTE to observe how the motions in different length scales contribute the transport of Reynolds stresses. To our knowledge, such a spectral analysis of terms in RSTE has not previously been performed. In this work we have focused on the turbulent kinetic energy (TKE) equation and the interaction between components of the velocity fluctuations. This paper is organized as follow. First, the simulation methods and the definition of terms in RSTE are described. Then, the following are discussed: Re dependencies of terms in RSTE, spectral analysis of production, transport and dissipation, enhanced analysis of turbulent transport and interaction of velocity fluctuations in different direction by pressure-strain terms. 1 June 30 July 3, 2015 Melbourne, Australia 9 4A-3
尽管它在许多应用中很重要,但壁面湍流的性质还没有得到很好的理解。近壁湍流动力学已经得到了很好的研究,其中直接数值模拟(DNS)做出了重要贡献。通过DNS研究近壁和外层湍流的相互作用是困难的,因为通过DNS可获得的雷诺数不够高,无法表现出明显的尺度分离。在这里介绍的工作中,我们纠正了这个缺点。我们在流向(x)和展向(z)方向上使用傅里叶-伽辽金方法,在壁面法线(y)方向上使用b样条搭配方法,对湍流通道流动进行了直接数值模拟。基于剪切速度的最高雷诺数(uτ =√τw/ρ), Reτ约为5200。为了研究雷诺应力分量动力学的尺度依赖性,我们对雷诺应力传递方程(RSTE)中的项进行了谱分析。结果表明,大(或甚大)尺度运动在湍流输运项中起着重要的作用。此外,还观察到湍流动能(TKE)的非平凡部分被输送到近壁区并通过大尺度运动耗散。近年来,人们对高雷诺数(Re)的壁面湍流进行了大量的研究。实验技术的最新进展(Nagib等人,2004年;Kunkel & Marusic, 2006;Westerweel et al., 2013;Bailey et al., 2014)和计算能力(Lee et al., 2013;Borrell et al., 2013;El Khoury等人,2013)提供了以前无法获得的信息。高Re壁面湍流最重要的特征之一是近壁和外层湍流的尺度分离。实验观察到两个不同的流向速度能谱密度峰:近壁区域的小范围峰和外围区域的大范围峰(Hutchins & Marusic, 2007;Monty et al., 2009;Marusic et al., 2010a,b)。Lee & Moser(2015)通过直接数值模拟(DNS)证实了两个这样的光谱峰。Lee & Moser(2015)也发现雷诺应力的谱密度存在峰值区别,- u ' v ',但在实验中尚未观察到这一点。由于DNS可以以高保真度提供如此丰富的数据,因此可以在三维空间中计算高阶项。在这项工作中,我们重点研究了雷诺应力输运方程(RSTE),它提供了关于雷诺应力次元的产生、输运和耗散的信息。然而,RSTE是一个平均方程,因此很难研究湍流运动的详细作用。因此,我们对RSTE中的每一项进行了谱分析,以观察不同长度尺度下的运动对雷诺应力输运的影响。据我们所知,这种频谱分析的条款在RSTE以前没有执行过。在这项工作中,我们重点研究了湍流动能(TKE)方程和速度波动分量之间的相互作用。本文组织如下。首先,介绍了RSTE的仿真方法和术语的定义。然后,讨论了RSTE中各项的Re依赖性、产生、输运和耗散的谱分析、湍流输运的强化分析以及压力-应变项在不同方向上速度波动的相互作用。2015年6月1日30日7月3日澳大利亚墨尔本94a -3