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arXiv 1004.0689astro-ph.SR
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MHD背景下平均场系数的测试场法

Test-field method for mean-field coefficients with MHD background

M. Rheinhardt, A. Brandenburg

摘要:

目的:本文将模拟磁流体流动计算湍流输运系数的试验场方法推广到具有磁流体动力学(MHD)背景的区域。方法:利用诱导方程和修正的动量方程推导出一组广义的试验方程。通过采用一个额外的辅助方程组,我们推导出线性方程描述的系统的一组规定的测试字段的响应。通过在感应方程中应用类似于动量方程中有质动力的电动势来模拟Pd-S磁和MHD背景。两种力都被选择为具有罗伯茨流动状几何形状。结果:与MHD背景的例子进行了研究,以前使用的准运动学测试场的方法打破。在均匀的平均场的情况下,它示出的广义测试场方法产生相同的结果作为施加场的方法,其中使用的实际电动势的模拟的场对齐的分量。此外,湍流扩散系数张量的结果,这是无法实现的强加场方法。对于MHD背景,新的平均场效应被发现,依赖于磁场和速度波动之间的互相关性的发生。对于强施加的领域,$α$被发现是淬火成正比的四次方的场强,无论研究的背景类型。

英文摘要:

Aims: The test-field method for computing turbulent transport coefficients from simulations of hydromagnetic flows is extended to the regime with a magnetohydrodynamic (MHD) background. Methods: A generalized set of test equations is derived using both the induction equation and a modified momentum equation. By employing an additional set of auxiliary equations, we derive linear equations describing the response of the system to a set of prescribed test fields. Purely magnetic and MHD backgrounds are emulated by applying an electromotive force in the induction equation analogously to the ponderomotive force in the momentum equation. Both forces are chosen to have Roberts flow-like geometry. Results: Examples with an MHD background are studied where the previously used quasi-kinematic test-field method breaks down. In cases with homogeneous mean fields it is shown that the generalized test-field method produces the same results as the imposed-field method, where the field-aligned component of the actual electromotive force from the simulation is used. Furthermore, results for the turbulent diffusivity tensor are given, which are inaccessible to the imposed-field method. For MHD backgrounds, new mean-field effects are found that depend on the occurrence of cross-correlations between magnetic and velocity fluctuations. For strong imposed fields, $α$ is found to be quenched proportional to the fourth power of the field strength, regardless of the type of background studied.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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