Is Turbulence a State of Maximum Energy Dissipation?

被引:8
作者
Mihelich, Martin [1 ]
Faranda, Davide [2 ]
Paillard, Didier [2 ]
Dubrulle, Berengere [1 ]
机构
[1] Univ Paris Saclay, CEA Saclay, CEA, SPEC,CNRS, F-91191 Gif Sur Yvette, France
[2] Univ Paris Saclay, CEA, CNRS, UMR 8212,UVSQ,CEA Saclay Orme Merisiers,LSCE IPSL, F-91191 Gif Sur Yvette, France
基金
欧洲研究理事会;
关键词
maximum entropy production; turbulence; Kolmogorov-Sinai entropy; ENTROPY PRODUCTION; THERMODYNAMICS; CLIMATE; CIRCULATION; DERIVATION; PRINCIPLE; MODEL;
D O I
10.3390/e19040154
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Turbulent flows are known to enhance turbulent transport. It has then even been suggested that turbulence is a state of maximum energy dissipation. In this paper, we re-examine critically this suggestion in light of several recent works around the Maximum Entropy Production principle (MEP) that has been used in several out-of-equilibrium systems. We provide a set of four different optimization principles, based on maximization of energy dissipation, entropy production, Kolmogorov-Sinai entropy and minimization of mixing time, and study the connection between these principles using simple out-of-equilibrium models describing mixing of a scalar quantity. We find that there is a chained-relationship between most probable stationary states of the system, and their ability to obey one of the four principles. This provides an empirical justification of the Maximum Entropy Production principle in this class of systems, including some turbulent flows, for special boundary conditions. Otherwise, we claim that the minimization of the mixing time would be a more appropriate principle. We stress that this principle might actually be limited to flows where symmetry or dynamics impose pure mixing of a quantity (like angular momentum, momentum or temperature). The claim that turbulence is a state of maximum energy dissipation, a quantity intimately related to entropy production, is therefore limited to special situations that nevertheless include classical systems such as shear flows, Rayleigh-Benard convection and von Karman flows, forced with constant velocity or temperature conditions.
引用
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页数:16
相关论文
共 52 条
[1]  
[Anonymous], 2011, NONEQUILIBRIUM THERM
[2]  
Arnol'd VI, 1968, ERGODIC PROBLEMS CLA, Vix
[3]  
Balian R., 1992, PHYS STAT THEMODYNAM
[4]   STOCHASTIC PARAMETERIZATION Toward a New View of Weather and Climate Models [J].
Berner, Judith ;
Achatz, Ulrich ;
Batte, Lauriane ;
Bengtsson, Lisa ;
de la Camara, Alvaro ;
Christensen, Hannah M. ;
Colangeli, Matteo ;
Coleman, Danielle R. B. ;
Crommelin, Daaaan ;
Dolaptchiev, Stamen I. ;
Franzke, Christian L. E. ;
Friederichs, Petra ;
Imkeller, Peter ;
Jarvinen, Heikki ;
Juricke, Stephan ;
Kitsios, Vassili ;
Lott, Francois ;
Lucarini, Valerio ;
Mahajan, Salil ;
Palmer, Timothy N. ;
Penland, Cecile ;
Sakradzija, Mirjana ;
von Storch, Jin-Song ;
Weisheimer, Antje ;
Weniger, Michael ;
Williams, Paul D. ;
Yano, Jun-Ichi .
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2017, 98 (03) :565-587
[5]  
Billingsley P., 1965, ERGODIC THEORY INFOR
[6]   A discussion on maximum entropy production and information theory [J].
Bruers, Stijn .
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2007, 40 (27) :7441-7450
[7]   Information theory explanation of the fluctuation theorem, maximum entropy production and self-organized criticality in non-equilibrium stationary states [J].
Dewar, R .
JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 2003, 36 (03) :631-641
[8]  
Faranda D., 2016, ARXIV160708409
[9]   A wavelet-based approach to detect climate change on the coherent and turbulent component of the atmospheric circulation [J].
Faranda, Davide ;
Defrance, Dimitri .
EARTH SYSTEM DYNAMICS, 2016, 7 (02) :517-523
[10]   Early warnings indicators of financial crises via auto regressive moving average models [J].
Faranda, Davide ;
Pons, Flavio Maria Emanuele ;
Giachino, Eugenio ;
Valenti, Sandro ;
Dubrulle, Berengere .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2015, 29 (1-3) :233-239