The Significance of Simple Invariant Solutions in Turbulent Flows

TL;DR

This paper reviews how simple invariant solutions discovered through numerical methods enhance understanding of turbulence, including flow structures, statistical laws, and secondary flows in low-Reynolds-number regimes.

Contribution

It highlights recent advances in identifying invariant solutions in Navier-Stokes flows and their role in explaining turbulence phenomena and statistical laws.

Findings

Invariant solutions reproduce near-wall regeneration cycles.

Invariant solutions capture turbulence scaling laws.

Invariant solutions model secondary flows in ducts.

Abstract

Recent remarkable progress in computing power and numerical analysis is enabling us to fill a gap in the dynamical systems approach to turbulence. One of the significant advances in this respect has been the numerical discovery of simple invariant sets, such as nonlinear equilibria and periodic solutions, in well-resolved Navier--Stokes flows. This review describes some fundamental and practical aspects of dynamical systems theory for the investigation of turbulence, focusing on recently found invariant solutions and their significance for the dynamical and statistical characterization of low-Reynolds-number turbulent flows. It is shown that the near-wall regeneration cycle of coherent structures can be reproduced by such solutions. The typical similarity laws of turbulence, i.e. the Prandtl wall law and the Kolmogorov law for the viscous range, as well as the pattern and intensity of turbulence-driven secondary flow in a square duct can also be represented by these simple invariant solutions.