Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-19T12:07:00.162Z Has data issue: false hasContentIssue false

Inverse Energy Cascade in Advanced MHD Turbulence (the RNG Method)

Published online by Cambridge University Press:  19 July 2016

N. Kleeorin
Affiliation:
Department of Mechanical Engineering, Ben-Gurion University of Negev, POB 653, 84105 Beer-Sheva, Israel
I. Rogachevskii
Affiliation:
Racah Institute of Physics, Hebrew University of Jerusalem, 91904 Jerusalem, Israel

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The nonlinear (in terms of the large-scale magnetic field) effect of the modification of the magnetic force by an advanced small-scale magnetohydrodynamic (MHD) turbulence is considered. The phenomenon is due to the generation of magnetic fluctuations at the expense of hydrodynamic pulsations. It results in a decrease of the elasticity of the large-scale magnetic field.

The renormalization group (RNG) method was employed for the investigation of the MHD turbulence at the large magnetic Reynolds number. It was found that the level of the magnetic fluctuations can exceed that obtained from the equipartition assumption due to the inverse energy cascade in advanced MHD turbulence.

This effect can excite an instability of the large-scale magnetic field due to the energy transfer from the small-scale turbulent pulsations. This instability is an example of the inverse energy cascade in advanced MHD turbulence. It may act as a mechanism for the large-scale magnetic ropes formation in the solar convective zone and spiral galaxies.

Type
6. General Aspects of Dynamo Theory
Copyright
Copyright © Kluwer 1993 

References

Brandenburg, A. et al. (1992), Astrophys. J., submitted.Google Scholar
Kleeorin, N. and Rogachevskii, I., in Proceedings of the ESA Workshop on ‘Plasma Astrophysics’, Telavi, Georgia (ESA Publ. Div., ESTEC, Dordrecht, 1990), p. 21.Google Scholar
Kleeorin, N. and Rogachevskii, I. (1992). Phys. Rev. A, submitted.Google Scholar
Kleeorin, N., Rogachevskii, I., and Ruzmaikin, A., Sov. Astron. Lett., 15, 274 (1989).Google Scholar
Kleeorin, N., Rogachevskii, I., and Ruzmaikin, A., Sov. Phys. JETP 70, 878 (1990).Google Scholar
Kleeorin, N., Ruzmaikin, A., and Sokoloff, D.D., in Proceedings of the ESA Workshop on ‘Plasma Astrophysics’, Sukhumi, Georgia (ESA Publ. Div., ESTEC, Dordrecht, 1986), p. 557.Google Scholar
Kichatinov, L.L., Magnetohydrodynamics, N 2, 3 (1985).Google Scholar
Krause, F., and Rädler, K.H., Mean-Field Magnetohydrodynamics and Dynamo Theory (Pergamon, Oxford, 1980).Google Scholar
McComb, W.D., The Physics of Fluid Turbulence (Clarendon, Oxford, 1990).Google Scholar
Meneguzzi, M., Frisch, U., and Pouquet, A., Phys. Rev. Lett., 47, 1060 (1981).Google Scholar
Moffatt, H.K., Magnetic Field Generation in Electrically Conducting Fluids (Cambridge Univ. Press, Cambridge, 1978).Google Scholar
Moffatt, H.K., J. Fluid Mech., 106, 27 (1981).CrossRefGoogle Scholar
Monin, A.S. and Yaglom, A.M., Statistical Fluid Mechanics (MIT Press Cambridge, Massachusetts, 1975), vol. 2.Google Scholar
Yakhot, V. and Orszag, S.A., J. Sci. Comput., 1, 3 (1986).Google Scholar
Zeldovich, Ya.B., Ruzmaikin, A.A., and Sokoloff, D.D., Magnetic Fields in Astrophysics (Gordon and Breach, New York, 1983).Google Scholar
Zeldovich, Ya.B., Ruzmaikin, A.A., and Sokoloff, D.D., The Almighty Chance (Word Scientific Publ., London, 1990).Google Scholar