Departure from the statistical equilibrium of large scales in three-dimensional hydrodynamic turbulence
Mengjie Ding, Jin-Han Xie, Jianchun Wang

TL;DR
This paper investigates how large-scale dynamics in 3D turbulence deviate from statistical equilibrium, revealing a universal power-law decay in velocity difference PDFs and a significant coupling between large and small scales.
Contribution
It introduces a conjugate regime to Kolmogorov's inertial range for large scales, deriving universal decay laws and quantifying departures from equilibrium in forced turbulence.
Findings
Odd parts of PDFs are small but non-zero, indicating deviation from Gaussianity.
Third-order structure functions decay with a universal power-law exponent of -2.
Departure from equilibrium is viscosity independent and significant for large-scale turbulence.
Abstract
We study the statistically steady states of the forced dissipative three-dimensional homogeneous isotropic turbulence at scales larger than the forcing scale in real separation space. The probability density functions (PDFs) of longitudinal velocity difference at large separations are close to but deviate from Gaussian, measured by their non-zero odd parts. Under the assumption that forcing controls the large-scale dynamics, we propose a conjugate regime to Kolmogorov's inertial range, independent of the forcing scale, to capture the odd parts of PDFs. The analytical expressions of the third-order longitudinal structure functions derived from the K\'arm\'an-Howarth-Monin equation prove that the odd-part PDFs of velocity differences at large separations are small but non-zero, and show that the odd-order longitudinal structure functions have a universal power-law decay with exponent …
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Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Solar and Space Plasma Dynamics · Meteorological Phenomena and Simulations
