Literature DB >> 25024175

Small-scale universality in fluid turbulence.

Jörg Schumacher1, Janet D Scheel2, Dmitry Krasnov1, Diego A Donzis3, Victor Yakhot4, Katepalli R Sreenivasan5.   

Abstract

Turbulent flows in nature and technology possess a range of scales. The largest scales carry the memory of the physical system in which a flow is embedded. One challenge is to unravel the universal statistical properties that all turbulent flows share despite their different large-scale driving mechanisms or their particular flow geometries. In the present work, we study three turbulent flows of systematically increasing complexity. These are homogeneous and isotropic turbulence in a periodic box, turbulent shear flow between two parallel walls, and thermal convection in a closed cylindrical container. They are computed by highly resolved direct numerical simulations of the governing dynamical equations. We use these simulation data to establish two fundamental results: (i) at Reynolds numbers Re ∼ 10(2) the fluctuations of the velocity derivatives pass through a transition from nearly Gaussian (or slightly sub-Gaussian) to intermittent behavior that is characteristic of fully developed high Reynolds number turbulence, and (ii) beyond the transition point, the statistics of the rate of energy dissipation in all three flows obey the same Reynolds number power laws derived for homogeneous turbulence. These results allow us to claim universality of small scales even at low Reynolds numbers. Our results shed new light on the notion of when the turbulence is fully developed at the small scales without relying on the existence of an extended inertial range.

Keywords:  energy dissipation rate; fluid dynamics

Year:  2014        PMID: 25024175      PMCID: PMC4121775          DOI: 10.1073/pnas.1410791111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  10 in total

1.  Mean-field approximation and a small parameter in turbulence theory.

Authors:  V Yakhot
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2001-01-26

2.  Turbulent convection at very high Rayleigh numbers

Authors: 
Journal:  Nature       Date:  2000-04-20       Impact factor: 49.962

3.  Mean wind and its reversal in thermal convection.

Authors:  K R Sreenivasan; A Bershadskii; J J Niemela
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-05-08

4.  Universal scaling laws in fully developed turbulence.

Authors: 
Journal:  Phys Rev Lett       Date:  1994-01-17       Impact factor: 9.161

5.  Degrees of freedom of turbulence.

Authors: 
Journal:  Phys Rev A Gen Phys       Date:  1987-02-15

6.  Turbulence without pressure.

Authors: 
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1995-12

7.  Large-scale flow properties of turbulent thermal convection.

Authors: 
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1996-12

8.  Singularities of the equations of fluid motion.

Authors: 
Journal:  Phys Rev A Gen Phys       Date:  1988-12-15

9.  Turbulence in helium-gas free convection.

Authors: 
Journal:  Phys Rev A Gen Phys       Date:  1989-12-01

10.  Hydrodynamic turbulence as a problem in nonequilibrium statistical mechanics.

Authors:  David P Ruelle
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-26       Impact factor: 11.205

  10 in total
  8 in total

1.  Extreme events in computational turbulence.

Authors:  P K Yeung; X M Zhai; Katepalli R Sreenivasan
Journal:  Proc Natl Acad Sci U S A       Date:  2015-09-30       Impact factor: 11.205

2.  Enhanced enstrophy generation for turbulent convection in low-Prandtl-number fluids.

Authors:  Jörg Schumacher; Paul Götzfried; Janet D Scheel
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-20       Impact factor: 11.205

3.  Turbulent mixing: A perspective.

Authors:  Katepalli R Sreenivasan
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-13       Impact factor: 11.205

4.  High-Reynolds-number fractal signature of nascent turbulence during transition.

Authors:  Zhao Wu; Tamer A Zaki; Charles Meneveau
Journal:  Proc Natl Acad Sci U S A       Date:  2020-02-05       Impact factor: 11.205

5.  Turbulence tracks recurrent solutions.

Authors:  Christopher J Crowley; Joshua L Pughe-Sanford; Wesley Toler; Michael C Krygier; Roman O Grigoriev; Michael F Schatz
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-19       Impact factor: 12.779

6.  Interoccurrence time statistics in fully-developed turbulence.

Authors:  Pouya Manshour; Mehrnaz Anvari; Nico Reinke; Muhammad Sahimi; M Reza Rahimi Tabar
Journal:  Sci Rep       Date:  2016-06-10       Impact factor: 4.379

7.  Geometry of turbulent dissipation and the Navier-Stokes regularity problem.

Authors:  Janet Rafner; Zoran Grujić; Christian Bach; Jakob Andreas Bærentzen; Bo Gervang; Ruo Jia; Scott Leinweber; Marek Misztal; Jacob Sherson
Journal:  Sci Rep       Date:  2021-04-23       Impact factor: 4.379

8.  Transition of fluctuations from Gaussian state to turbulent state.

Authors:  Toshiyuki Gotoh; Jingyuan Yang
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2022-01-17       Impact factor: 4.226

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.