Chaos, coherence and turbulence
Javier Jimenez
TL;DR
The paper argues that turbulence can be understood in terms of coherent structures that decouple, at least partially, from the rest of the flow, especially in energy-input ranges driven by shear. It surveys free-shear and wall-bounded flows to illustrate how linear and quasi-linear mechanisms underpin large-scale coherence, while acknowledging that much of turbulence remains incoherent and multiscale. Looking forward, it highlights data-driven analytics and causality as powerful tools to tackle open questions, but cautions about their limits and the need to connect them to mechanistic understanding. The work emphasizes both the conceptual payoff of coherence-based views and their practical relevance for control, with an eye toward integrating new computational approaches while maintaining physics-based interpretation.
Abstract
This paper is a personal overview of the efforts over the last half century to understand fluid turbulence in terms of simpler coherent units. The consequences of chaos and the concept of coherence are first reviewed, using examples from free-shear and wall-bounded shear flows, and including how the simplifications due to coherent structures have been useful in the conceptualization and control of turbulence. It is remarked that, even if this approach has revolutionized our understanding of the flow, most of turbulence cannot yet be described by structures. This includes cascades, both direct and inverse, and possibly junk turbulence, whose role, if any, is currently unknown. This part of the paper is mostly a catalog of questions, some of them answered and others still open. A second part of the paper examines which new techniques can be expected to help in attacking the open questions, and which, in the opinion of the author, are the strengths and limitations of current approaches, such as data-driven science and causal inference.
