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Related Experiment Videos

Two-dimensional turbulence in the inverse cascade range.

V Yakhot1

  • 1Department of Aerospace and Mechanical Engineering, Boston University, Boston, Massachusetts 02215, USA.

Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
|April 24, 2002
PubMed
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Transverse velocity differences in two-dimensional turbulence exhibit normal Kolmogorov scaling and Gaussian statistics, resolving a apparent contradiction. A new theory explains these findings using a linear Langevin-like equation and a universal random force.

Area of Science:

  • Fluid Dynamics
  • Turbulence Theory
  • Statistical Mechanics

Background:

  • Forced two-dimensional Navier-Stokes equations exhibit complex nonlinear behavior.
  • Observed normal Kolmogorov scaling and Gaussian statistics for velocity differences appear contradictory.
  • Understanding turbulence scaling and statistics is crucial for fluid dynamics.

Purpose of the Study:

  • To reconcile the apparent contradiction between Kolmogorov scaling and Gaussian statistics in 2D turbulence.
  • To develop a theoretical framework explaining the observed phenomena.
  • To provide testable predictions for experimental validation.

Main Methods:

  • Derivation of a self-consistent expression for pressure gradient contributions.
  • Formulation of a linear Langevin-like equation for transverse velocity differences.

Related Experiment Videos

  • Analysis of the probability density function (PDF) for longitudinal velocity differences.
  • Main Results:

    • Transverse velocity differences follow normal Kolmogorov scaling (<(deltav)(2n)> proportional r(2n/3)).
    • Transverse velocity differences obey Gaussian statistics.
    • A nonlocal, universal, solution-dependent Gaussian random force governs small-scale transverse velocity differences.

    Conclusions:

    • The derived theory successfully explains the observed Gaussian statistics and Kolmogorov scaling.
    • The theory posits that small-scale transverse velocity differences are governed by a linear Langevin-like equation.
    • The study offers quantitative predictions for future experimental verification in two-dimensional turbulence.