Reynolds number dependence of Lagrangian dispersion in direct numerical simulations of anisotropic magnetohydrodynamic turbulence
Reynolds number dependence of Lagrangian dispersion in direct numerical simulations of anisotropic magnetohydrodynamic turbulence
复制标题
各向异性磁流体动力湍流直接数值模拟中拉格朗日色散的雷诺数依赖性
DOI:
10.1017/jfm.2022.434
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发表时间:
2022
影响因子:
3.7
通讯作者:
Müller, W.-C.
中科院分区:
文献类型:
--
作者:
Pratt, J.;Busse, A.;Müller, W.-C.
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 . 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 Alfvénic 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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影响因子:
--
作者:
A. Schekochihin;S. Cowley;T. A. Yousef
通讯作者:
T. A. Yousef
影响因子:
4.8
作者:
A. Brandenburg;Nils Erland L. Haugen;Nils Erland L. Haugen;Xiang-Yu Li;Xiang-Yu Li;Xiang-Yu Li;K. Subramanian
通讯作者:
A. Brandenburg;Nils Erland L. Haugen;Nils Erland L. Haugen;Xiang-Yu Li;Xiang-Yu Li;Xiang-Yu Li;K. Subramanian
影响因子:
4.6
作者:
A. Vorobev;O. Zikanov;P. Davidson;B. Knaepen
通讯作者:
B. Knaepen
DOI:
--
发表时间:
2016
期刊:
影响因子:
--
作者:
J. Pratt;A. Busse;Wolf;N. Watkins;S. Chapman;S. Chapman;S. Chapman
通讯作者:
S. Chapman
DOI:
--
发表时间:
2007
期刊:
影响因子:
--
作者:
W. Müller;A. Busse
通讯作者:
A. Busse