Universal thermodynamic bounds and entropy production of interscale amplitude modulation in turbulent boundary layers

A discrete Markov model is proposed to study the interscale dynamics of high Reynolds number wall turbulence. The amplitude modulation of the small turbulent scales due to the interaction with large turbulent scales is investigated for three experimental turbulent boundary layers. Through an appropriate discretisation of the turbulence signals, recently proved universal thermodynamic bounds for discrete-state stochastic systems are shown to apply to continuous-state systems like turbulence, regardless of the distance from the wall and the Reynolds number. Adopting Schnakenberg’s network theory for stochastic processes, we provide evidence for a direct proportionality relation between the mean cycle affinity-based entropy production rate (a stochastic thermodynamic quantity) and a mean entropy production rate associated with the net large-to-small-scale turbulent kinetic energy production. Finally, new insights into the relative arrangement (lag/lead) between large and small scales are provided.

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Publication Details

Journal
Journal of Fluid Mechanics
Published
2025-09-18
DOI
https://doi.org/10.1017/jfm.2025.10585
Primary Topic
Fluid Dynamics and Turbulent Flows
Type
article
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article

Universal thermodynamic bounds and entropy production of interscale amplitude modulation in turbulent boundary layers

Giovanni Iacobello
Journal of Fluid Mechanics
Fluid Dynamics and Turbulent Flows
article

Universal thermodynamic bounds and entropy production of interscale amplitude modulation in turbulent boundary layers

Giovanni Iacobello
article en

Abstract

A discrete Markov model is proposed to study the interscale dynamics of high Reynolds number wall turbulence. The amplitude modulation of the small turbulent scales due to the interaction with large turbulent scales is investigated for three experimental turbulent boundary layers. Through an appropriate discretisation of the turbulence signals, recently proved universal thermodynamic bounds for discrete-state stochastic systems are shown to apply to continuous-state systems like turbulence, regardless of the distance from the wall and the Reynolds number. Adopting Schnakenberg’s network theory for stochastic processes, we provide evidence for a direct proportionality relation between the mean cycle affinity-based entropy production rate (a stochastic thermodynamic quantity) and a mean entropy production rate associated with the net large-to-small-scale turbulent kinetic energy production. Finally, new insights into the relative arrangement (lag/lead) between large and small scales are provided.

Journal of Fluid MechanicsVol. 1019
University of Surrey (GB)
Openalex Percentile: Top 73%
Fluid Dynamics and Turbulent Flows
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