Superstatistical mechanics of tracer-particle motions in turbulence
Superstatistical mechanics of tracer-particle motions in turbulence
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DOI：
10.1103/physrevlett.91.084503
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发表时间：
2003-08-22
影响因子：
8.6
通讯作者：
Reynolds, AM
中科院分区：
文献类型：
--
作者：
Reynolds, AM
雷诺的拉格朗日随机模型[物理流体15，L1-4（2003）]的湍流中的流体粒子的加速度被证明是精确地预测所观察到的拉格朗日加速度的分布和指数表征所观察到的扩展的自相似缩放的拉格朗日速度结构函数的拉格朗日数依赖性。从对数正态类型的超统计量的计算和它们对模型预测的影响进行量化。
The Lagrangian stochastic model of Reynolds [Phys. Fluids 15, L1-4 (2003)] for the accelerations of fluid particles in turbulence is shown to predict precisely the observed Reynolds-number dependency of the distribution of Lagrangian accelerations and the exponents characterizing the observed extended self-similarity scaling of the Lagrangian velocity structure functions. Departures from superstatistics of the log-normal kind are accounted for and their impact upon model predictions is quantified.