Dissipation-Range Fluid Turbulence and Thermal Noise

TL;DR

This paper investigates the scale at which thermal fluctuations influence incompressible fluid turbulence, showing they become relevant at the Kolmogorov length and necessitate a stochastic hydrodynamics approach over deterministic models.

Contribution

It provides a theoretical and computational analysis demonstrating the importance of thermal noise at the Kolmogorov scale, challenging the adequacy of deterministic Navier-Stokes equations in turbulence modeling.

Findings

Thermal fluctuations become significant at the Kolmogorov length scale.

Deterministic Navier-Stokes equations are inadequate for the dissipation range.

Stochastic hydrodynamics better describes turbulence at small scales.

Abstract

We revisit the issue of whether thermal fluctuations are relevant for incompressible fluid turbulence, and estimate the scale at which they become important. As anticipated by Betchov in a prescient series of works more than six decades ago, this scale is about equal to the Kolmogorov length, even though that is several orders of magnitude above the mean free path. This result implies that the deterministic version of the incompressible Navier-Stokes equation is inadequate to describe the dissipation range of turbulence in molecular fluids. Within this range, the fluctuating hydrodynamics equation of Landau and Lifschitz is more appropriate. In particular, our analysis implies that both the exponentially decaying energy spectrum and the far-dissipation range intermittency predicted by Kraichnan for deterministic Navier-Stokes will be generally replaced by Gaussian thermal equipartition at scales just below the Kolmogorov length. Stochastic shell model simulations at high Reynolds numbers verify our theoretical predictions and reveal furthermore that inertial-range intermittency can propagate deep into the dissipation range, leading to large fluctuations in the equipartition length scale. We explain the failure of previous scaling arguments for the validity of deterministic Navier-Stokes equations at any Reynolds number and we provide a mathematical interpretation and physical justification of the fluctuating Navier-Stokes equation as an ``effective field-theory'' valid below some high-wavenumber cutoff $\Lambda$, rather than as a continuum stochastic partial differential equation. At Reynolds number around a million the strongest turbulent excitations observed in our simulation penetrate down to a length-scale of microns. However, for longer observation times or higher Reynolds numbers, more extreme turbulent events could lead to a local breakdown of fluctuating hydrodynamics.