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Reynolds Number Dependence of Lagrangian Dispersion in Direct Numerical Simulations of Anisotropic Magnetohydrodynamic Turbulence

Journal of Fluid Mechanics(2022)SCI 2区

Lawrence Livermore Natl Lab | Univ Glasgow | TU Berlin

Cited 3|Views12
Abstract
Large-scale magnetic fields thread through the electrically conducting matter of the interplanetary and interstellar medium, stellar interiors and other astrophysical plasmas, producing anisotropic flows with regions of high-Reynolds-number turbulence. It is common to encounter turbulent flows structured by a magnetic field with a strength approximately equal to the root-mean-square magnetic fluctuations. In this work, direct numerical simulations of anisotropic magnetohydrodynamic (MHD) turbulence influenced by such a magnetic field are conducted for a series of cases that have identical resolution, and increasing grid sizes up to 2048(3). The result is a series of closely comparable simulations at Reynolds numbers ranging from 1400 up to 21 000. We investigate the influence of the Reynolds number from the Lagrangian viewpoint by tracking fluid particles and calculating single-particle and two-particle statistics. The influence of Alfvenic fluctuations and the fundamental anisotropy on the MHD turbulence in these statistics is discussed. Single-particle diffusion curves exhibit mildly superdiffusive behaviours that differ in the direction aligned with the magnetic field and the direction perpendicular to it. Competing alignment processes affect the dispersion of particle pairs, in particular at the beginning of the inertial subrange of time scales. Scalings for relative dispersion, which become clearer in the inertial subrange for a larger Reynolds number, can be observed that are steeper than indicated by the Richardson prediction.
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MHD turbulence,dispersion,turbulence simulation
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要点】:本文研究了在不同雷诺数下,各向异性磁流体动力学(MHD)湍流中拉格朗日分散性的变化,探讨了阿尔芬波动和基本各向异性对MHD湍流统计特性的影响,并发现了超扩散行为和不同于理查森预测的标度关系。

方法】:作者通过直接数值模拟各向异性MHD湍流,并在相同分辨率下增加网格大小至2048^3,进行了一系列雷诺数从1400到21000的模拟。

实验】:实验通过对流体粒子进行追踪,并计算单粒子及双粒子统计,使用了直接数值模拟的方法,数据集名称未在文中提及,但根据描述,数据来源于不同雷诺数下的模拟结果。