4.7 Article

The inverse cascade and nonlinear alpha-effect in simulations of isotropic helical hydromagnetic turbulence

期刊

ASTROPHYSICAL JOURNAL
卷 550, 期 2, 页码 824-840

出版社

UNIV CHICAGO PRESS
DOI: 10.1086/319783

关键词

MHD; turbulence

向作者/读者索取更多资源

A numerical model of isotropic homogeneous turbulence with helical forcing is investigated. The resulting flow, which is essentially the prototype of the alpha (2) dynamo of mean field dynamo theory, produces strong dynamo action with an additional large-scale field on the scale of the box (at wavenumber k = 1; forcing is at k = 5). This large-scale field is nearly force free and exceeds the equipartition value. As the magnetic Reynolds number R-m increases, the saturation field strength and the growth rate of the Rm dynamo increase. However, the time it takes to build up the large-scale field from equipartition to its final superequipartition value increases with magnetic Reynolds number. The large-scale field generation can be identified as being due to nonlocal interactions originating from the forcing scale, which is characteristic of the alpha -effect. Both alpha and turbulent magnetic diffusivity eta (t) are determined simultaneously using numerical experiments where the mean field is modified artificially. Both quantities are quenched in an R-m-dependent fashion. The evolution of the energy of the mean field matches that predicted by an alpha (2) dynamo model with similar alpha and eta (t) quenchings. For this model an analytic solution is given that matches the results of the simulations. The simulations are numerically robust in that the shape of the spectrum at large scales is unchanged when changing the resolution from 30(3) to 120(3) mesh points, or when increasing the magnetic Prandtl number (viscosity/magnetic diffusivity) from 1 to 100. Increasing the forcing wavenumber to 30 (i.e., increasing the scale separation) makes the inverse cascade effect more pronounced, although it remains otherwise qualitatively unchanged.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据