Dubrulle, B., Laval, J.-P., Nazarenko, Sergey and Zaboronski, Oleg V. (2004) A model for rapid stochastic distortions of small-scale turbulence. Journal of Fluid Mechanics, Vol.520 . pp. 1-21. doi:10.1017/S0022112004001417

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Abstract

We present a model describing the evolution of the small-scale Navier–Stokes turbulence due to its stochastic distortion by much larger turbulent scales. This study is motivated by numerical findings (Laval et al. Phys. Fluids vol. 13, 2001, p. 1995) that such interactions of separated scales play an important role in turbulence intermittency. We introduce a description of turbulence in terms of the moments of $k$-space quantities using a method previously developed for the kinematic dynamo problem (Nazarenko et al. Phys. Rev. E vol. 68, 2003, 0266311). Working with the $k$-space moments allows us to introduce new useful measures of intermittency such as the mean polarization and the spectral flatness. Our study of the small-scale two-dimensional turbulence shows that the Fourier moments take their Gaussian values in the energy cascade range whereas the enstrophy cascade is intermittent. In three dimensions, we show that the statistics of turbulence wavepackets deviates from Gaussianity toward dominance of the plane polarizations. Such turbulence is formed by ellipsoids in the $k$-space centred at its origin and having one large, one neutral and one small axis with the velocity field pointing parallel to the smallest axis.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics
Divisions:	Faculty of Science, Engineering and Medicine > Science > Mathematics
Library of Congress Subject Headings (LCSH):	Navier-Stokes equations, Turbulence, Fluid mechanics, Fluid dynamics, Stochastic differential equations
Journal or Publication Title:	Journal of Fluid Mechanics
Publisher:	Cambridge University Press
ISSN:	0022-1120
Official Date:	29 November 2004
Dates:	Date Event 29 November 2004 Published
Volume:	Vol.520
Page Range:	pp. 1-21
DOI:	10.1017/S0022112004001417
Status:	Peer Reviewed
Access rights to Published version:	Open Access

Data sourced from Thomson Reuters' Web of Knowledge

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