A nested polyhedra model of isotropic MHD turbulence

Abstract

A nested polyhedra model has been developed for magnetohydrodynamic (MHD) turbulence. Driving only the velocity field at large scales with random, divergence free forcing results in a clear, stationary $k^{-5/3}$ spectrum for both kinetic and magnetic energies. Since the model naturaly effaces disparate scale interactions, does not have a guide field and avoids injecting any sign of helicity by random forcing, the resulting three dimensional k-spectrum is statistically isotropic. The strengths and weaknesses of the model are demonstrated by considering large or small magnetic Prandtl numbers. It was also observed that the time scale for the equipartition offset with those of the smallest scales shows a $k^{-1/2}$ scaling.

References in corpus (4)

• Turbulence on a Fractal Fourier set
• Lagrangian Statistics for Navier-Stokes Turbulence under Fourier-mode reduction: Fractal and Homogeneous Decimations
• A nested polyhedra model of turbulence
• Comparison of forcing functions in magnetohydrodynamic turbulence

Cited by in corpus (6)

• Identifying vortical network connectors for turbulent flow modification
• Dynamical Complex Network Models of the Turbulent Cascade
• Shell Models on Recurrent Sequences: Fibonacci, Padovan and Other Series
• Partial invariants, large-scale dynamo action, and the inverse transfer of magnetic helicity
• Vortical interactions in turbulent thermoacoustic systems
• Solving Triad Reduced Interactions for Drift Kinetic Equations