Model-based scaling of the streamwise energy density in high-Reynolds number turbulent channels

TL;DR

This paper uses a resolvent-based low-rank model to analyze the Reynolds number scaling and self-similarity of streamwise turbulence energy in high-Reynolds turbulent channel flows, linking theoretical predictions with numerical simulations.

Contribution

It introduces a resolvent formulation approach to describe turbulence energy scaling and self-similarity across a wide range of Reynolds numbers in channel flows.

Findings

Universal form of streamwise energy density at low Reynolds numbers

Identification of self-similar hierarchies of resolvent modes

Prediction of energy intensity variations at high Reynolds numbers

Abstract

We study the Reynolds number scaling and the geometric self-similarity of a gain-based, low-rank approximation to turbulent channel flows, determined by the resolvent formulation of McKeon & Sharma (2010), in order to obtain a description of the streamwise turbulence intensity from direct consideration of the Navier-Stokes equations. Under this formulation, the velocity field is decomposed into propagating waves (with single streamwise and spanwise wavelengths and wave speed) whose wall-normal shapes are determined from the principal singular function of the corresponding resolvent operator. Using the accepted scalings of the mean velocity in wall-bounded turbulent flows, we establish that the resolvent operator admits three classes of wave parameters that induce universal behavior with Reynolds number on the low-rank model, and which are consistent with scalings proposed throughout the wall turbulence literature. In addition, it was shown that a necessary condition for geometrically self-similar resolvent modes is the presence of a logarithmic turbulent mean velocity. We identify the scalings that constitute hierarchies of self-similar modes that are parameterized by the critical wall-normal location where the speed of the mode equals the local turbulent mean velocity. For the rank-1 model subject to broadband forcing, the integrated streamwise energy density takes a universal form which is consistent with the dominant near-wall turbulent motions. When the shape of the forcing is optimized to enforce matching with results from direct numerical simulations at low turbulent Reynolds numbers, further similarity appears. Representation of these weight functions using similarity laws enables prediction of the Reynolds number and wall-normal variations of the streamwise energy intensity at high Reynolds numbers (${Re}_\tau \approx 10^3 - 10^{10}$).