Stochastic model of the conditional acceleration of a fluid particle in developed turbulence

2003/11/05 by A. K. Aringazin, Aringazin, A. K., M. I. Mazhitov +1
Physics and Astronomy · #FOS: Physical sciences #Soft Condensed Matter (cond-mat.soft) #Statistical Mechanics (cond-mat.stat-mech) #cond-mat.soft #cond-mat.stat-mech

paper · pdf · doi:10.48550/arxiv.cond-mat/0311098

RevTeX4, 3 pages, 2 eps-figures

arxiv created 2003/11/05 · arxiv updated 2009/12/01

Abstract

The random intensity of noise approach to 1D Laval-Dubrulle-Nazarenko model is used to describe Lagrangian acceleration of a fluid particle in developed turbulence. Intensities of noises entering nonlinear Langevin equation are assumed to depend on random velocity fluctuations in an exponential way. The conditional acceleration PDF, variance, and mean are found to be in a good qualitative agreement with the recent high-Re Lagrangian experimental data.

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• The conditional mean acceleration of fluid particle in developed turbulence
• One-dimensional Langevin models of fluid particle acceleration in developed turbulence
• Conditional Lagrangian acceleration statistics in turbulent flows with Gaussian distributed velocities
• STOCHASTIC MODELS OF LAGRANGIAN ACCELERATION OF FLUID PARTICLE IN DEVELOPED TURBULENCE
• Skewness of probability density functions of fluid particle acceleration in developed turbulence