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Summary
This summary is machine-generated.

Statistical thermodynamics reveals turbulence dynamics. Fluctuations in developed turbulence, observed in air-jet experiments, generate entropy-consuming paths, making fluctuation theorems detectable macroscopically.

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Area of Science:

  • Physics
  • Thermodynamics
  • Fluid Dynamics

Background:

  • Developed turbulence exhibits complex statistical properties.
  • Stochastic thermodynamics provides tools to analyze dynamic fluctuations.
  • Intermittency in turbulence influences flow field characteristics.

Purpose of the Study:

  • To characterize statistical properties of developed turbulence using stochastic thermodynamics.
  • To demonstrate how intermittency-induced fluctuations lead to observable macroscopic fluctuation theorems.
  • To propose and validate an integral fluctuation theorem for entropy production in turbulent flows.

Main Methods:

  • Analysis of data from a free air-jet experiment.
  • Application of concepts from stochastic thermodynamics.
  • Characterization of statistical properties of the flow field, focusing on velocity increments and their distributions.

Main Results:

  • Dynamic fluctuations from small-scale intermittency generate entropy-consuming trajectories.
  • These trajectories possess sufficient weight for fluctuation theorems to be observable at the macroscopic scale.
  • An integral fluctuation theorem for entropy production along the eddy hierarchy was proposed and demonstrated.

Conclusions:

  • Stochastic thermodynamics offers a framework for understanding turbulence.
  • Intermittency plays a crucial role in the macroscopic manifestation of thermodynamic principles in turbulence.
  • Accurate description of velocity distribution tails is critical for validating fluctuation theorems in turbulent systems.