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Concentration fluctuations and relative dispersion PDF

机译:浓度波动和相对分散PDF

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In this paper, we consider the problem of the relative dispersion of particle pairs released in a homogeneous isotropic stationary turbulent field. A one-dimensional two-particle Lagrangian stochastic model is considered. Two Langevin equations for the particles separation (Delta) and barycentre (Z) are presented and the results of the model simulations are discussed. The small-scale turbulence structure is analysed by reproducing the Delta and Z mean square trends. These are compared with the theoretical predictions and with a new formula to verify the Richardson's t(3)-law and the existence of an intermediate subrange, respectively, whose extension depends on the initial separation. Concerning the separation probability density function (PDF), two different forms are found for small and long times, respectively, according to the classical turbulence theory and the results of previous Lagrangian stochastic models. The mean concentrations and concentration fluctuations predicted by the model are compared with a new formula based on the Richardson separation PDF and with the formula based on the Gaussian PDF. (c) 2005 Elsevier Ltd. All rights reserved.
机译:在本文中,我们考虑在均匀各向同性固定湍流场中释放的粒子对的相对分散问题。考虑一维两粒子拉格朗日随机模型。给出了两个Langevin方程用于颗粒分离(Delta)和重心(Z),并讨论了模型仿真的结果。通过再现Delta和Z均方趋势来分析小规模湍流结构。将这些与理论预测以及新公式进行比较,以分别验证Richardson的t(3)律和中间子范围的存在,该子范围的扩展取决于初始分离。关于分离概率密度函数(PDF),根据经典湍流理论和先前的拉格朗日随机模型的结果,分别发现了两种不同的形式,分别用于小时间和长时间。将模型预测的平均浓度和浓度波动与基于Richardson分离PDF的新公式和基于Gaussian PDF的公式进行比较。 (c)2005 Elsevier Ltd.保留所有权利。

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