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arXiv 1609.08155physics.flu-dyn
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李群对称性分析在有流向旋转槽道湍流中的应用

On the use of applying Lie-group symmetry analysis to turbulent channel flow with streamwise rotation

Michael Frewer, George Khujadze

摘要:

Oberlack等人(2006年)的研究包括两个主要部分:对具有流向旋转的湍流平面槽道流进行直接数值模拟(DNS),以及对两点相关方程(TPC)进行前面的李群对称性分析,以分析预测不同旋转速率下平均速度剖面的标度。我们将只对后一部分进行评论,因为Recktenwald等人(2009)已经对前一部分中获得的DNS结果进行了评论,指出观察到的DNS与他们进行的实验之间的不匹配可能是由于在展向方向上太小的计算域上规定了周期性边界条件。通过重新审视Oberlack等人(2006)中的群分析部分,我们将产生比所提出的更好地描述平均速度分布的更自然的标度律。然而,由于湍流的统计封闭问题,这种改善是虚幻的。正如我们将要证明的那样,任何平均速度剖面的任意不变标度律都可以与速度相关中的任何高阶相一致。即使我们正式考虑所有多点相关方程的无限统计层次,不变标度中的任意性问题仍然存在。仅仅使用李群对称性分析的方法是无法回避湍流的封闭性问题的:因为统计方程是不封闭的,所以它们的对称性也是不封闭的!因此,关于湍流如何缩放的先验预测因此是不可能的。只有在后验的情况下,通过对数值或实验数据的预测,才能通过迭代试错过程产生足够的不变标度律。最后,除了这个问题,还将指出Oberlack等人(2006)中发现的几个不一致和不正确的陈述。

英文摘要:

The study by Oberlack et al. (2006) consists of two main parts: a direct numerical simulation (DNS) of a turbulent plane channel flow with streamwise rotation and a preceding Lie-group symmetry analysis on the two-point correlation equation (TPC) to analytically predict the scaling of the mean velocity profiles for different rotation rates. We will only comment on the latter part, since the DNS result obtained in the former part has already been commented on by Recktenwald et al. (2009), stating that the observed mismatch between DNS and their performed experiment is possibly due to the prescription of periodic boundary conditions on a too small computational domain in the spanwise direction. By revisiting the group analysis part in Oberlack et al. (2006), we will generate more natural scaling laws describing better the mean velocity profiles than the ones proposed. However, due to the statistical closure problem of turbulence, this improvement is illusive. As we will demonstrate, any arbitrary invariant scaling law for the mean velocity profiles can be generated consistent to any higher order in the velocity correlations. This problem of arbitrariness in invariant scaling persists even if we would formally consider the infinite statistical hierarchy of all multi-point correlation equations. The closure problem of turbulence simply cannot be circumvented by just employing the method of Lie-group symmetry analysis alone: as the statistical equations are unclosed, so are their symmetries! Hence, an a priori prediction as how turbulence scales is thus not possible. Only a posteriori by anticipating what to expect from numerical or experimental data the adequate invariant scaling law can be generated through an iterative trial-and-error process. Finally, apart from this issue, also several inconsistencies and incorrect statements to be found in Oberlack et al. (2006) will be pointed out.

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