Abstract

The extended thermodynamics of Tsallis is reviewed in detail and applied to turbulence. It is based on a generalization of the exponential and logarithmic functions with a parameter q. By applying this nonequilibrium thermodynamics, the Boltzmann-Gibbs thermodynamic approach of Kraichnan to 2-d turbulence is generalized. This physical modeling implies fractional calculus methods, obeying anomalous diffusion, described by Lévy statistics with q < 5/3 (sub diffusion), q = 5/3 (normal or Brownian diffusion) and q > 5/3 (super diffusion). The generalized energy spectrum of Kraichnan, occurring at small wave numbers k, now reveals the more general and precise result k−q. This corresponds well for q = 5/3 with the Kolmogorov-Oboukov energy spectrum and for q > 5/3 to turbulence with intermittency. The enstrophy spectrum, occurring at large wave numbers k, leads to a k−3q power law, suggesting that large wave-number eddies are in thermodynamic equilibrium, which is characterized by q = 1, finally resulting in Kraichnan’s correct k−3 enstrophy spectrum. The theory reveals in a natural manner a generalized temperature of turbulence, which in the non-equilibrium energy transfer domain decreases with wave number and shows an energy equipartition law with a constant generalized temperature in the equilibrium enstrophy transfer domain. The article contains numerous new results; some are stated in form of eight new (proven) propositions.

Highlights

  • There are primarily two limiting cases to describe turbulent flows, a microscopic and a macroscopic description

  • This q-entropy or Tsallis entropy generalizes the entropy of an equilibrium to that of a non-equilibrium thermodynamic system, respectively from systems with linear to those with nonlinear and complex behavior; the latter is suitable for turbulence

  • A further important contribution, namely the relation between Tsallis thermodynamics and Lévy statistics is due to Alemany and Zanette [81]

Read more

Summary

Introduction

There are primarily two limiting cases to describe turbulent flows, a microscopic and a macroscopic description. Applying Kolmogorov’s microscales, it is easy to show that the number of grid points N demanded to solve the NSEs by Direct Numerical Simulation (DNS) is N ∝ Re9/4 (see e.g., [3]) This leads to an enormous demand of Central Processing Unit (CPU) time to calculate a turbulent flow field of high. He figured out the slaving principle, where a single mode can reach a superior importance compared to others, and, presents itself as an ideal order parameter of a complex system This is a procedure, which opens the door for statistical thermodynamic descriptions of nonlinear systems, showing cooperative phenomena, including phase transitions. Many more applications are summarized in Ref. [59] on the fields of high energy physics, condensed matter physics, astrophysics, geophysics and lattice Boltzmann models of fluids, turbulence and defect turbulence in Rayleigh-Bénard flows, etc

A Brief Review of Some Essentials of the Gibbs-Boltzmann Thermodynamics
An Introduction to the Extended Thermodynamics of Tsallis
Relation between Lévy Statistics and Tsallis Extended Thermodynamics
Escort Probability Distribution and Expectation Values
Fractional Calculus: A Promising Method to Describe Turbulence
For inertial energy and the the
N xen2
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call