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三维拉格朗日湍流统计

Statistics of three-dimensional lagrangian turbulence.

作者信息

Beck Christian

机构信息

School of Mathematical Sciences, Queen Mary, University of London, Mile End Road, London E1 4NS, United Kingdom.

出版信息

Phys Rev Lett. 2007 Feb 9;98(6):064502. doi: 10.1103/PhysRevLett.98.064502. Epub 2007 Feb 5.

Abstract

We consider a superstatistical model for a Lagrangian tracer particle in a high-Reynolds-number turbulent flow. The analytical model predictions are in excellent agreement with recent experimental data for flow between counter-rotating disks. In particular, the predicted Lagrangian scaling exponents zeta_{j} agree well with the measured exponents reported in H. Xu et al. [Phys. Rev. Lett.10.1103/PhysRevLett.96.114503 96, 114503 (2006)]. The model also correctly predicts the shape of acceleration probability densities, correlation functions, statistical dependencies between components, and explains the fact that enstrophy lags behind dissipation.

摘要

我们考虑了一个用于高雷诺数湍流中拉格朗日示踪粒子的超统计模型。该解析模型的预测结果与最近关于反向旋转圆盘间流动的实验数据高度吻合。特别是,预测的拉格朗日标度指数ζ_j与H. Xu等人[《物理评论快报》10.1103/PhysRevLett.96.114503 96, 114503 (2006)]报道的测量指数非常一致。该模型还正确地预测了加速度概率密度的形状、相关函数、各分量之间的统计依赖性,并解释了涡量滞后于耗散这一事实。

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