High Schmidt-Number Turbulent Advection and Giant Concentration Fluctuations
Gregory Eyink, Amir Jafari

TL;DR
This paper analyzes how thermal noise influences high Schmidt-number turbulent mixing, revealing significant alterations in concentration spectra at small scales and providing exact solutions within a stochastic turbulence model.
Contribution
It introduces a stochastic model incorporating thermal noise into the Batchelor-Kraichnan theory, deriving exact solutions and revealing new phenomena in concentration fluctuations at microscopic scales.
Findings
Thermal noise renormalizes diffusivity in the viscous-convective range.
Giant concentration fluctuations with a $k^{-2}$ spectrum emerge below the Batchelor length.
At high wavenumbers, the spectrum transitions to a $k^2$ equipartition spectrum.
Abstract
We consider the effects of thermal noise on the Batchelor-Kraichnan theory of high Schmidt-number mixing in the viscous-dissipation range of turbulent flows. Using fluctuating hydrodynamics for a binary fluid mixture at low Mach numbers, we justify linearization around the deterministic Navier-Stokes solution in the dissipation range. For the latter solution we adopt the standard Kraichnan model and derive asymptotic high-Schmidt limiting equations for the concentration field, in which the thermal velocity fluctuations are exactly represented by a Gaussian random velocity which is white in time. We obtain the exact solution for the concentration spectrum in this high-Schmidt limiting model, showing that the Batchelor prediction in the viscous-convective range is unaltered. Thermal noise dramatically renormalizes the bare diffusivity in this range, but the effect is the same as in…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Fluid Dynamics and Turbulent Flows · Advanced Thermodynamics and Statistical Mechanics
