Elastic Turbulence Theory Misha Chertkov Los Alamos Nat. Lab. Polymer Stretching by Turbulence (Statistics of a Passive Polymer) Pure (Re >1) Elastic Turbulence.

Slides:



Advertisements
Similar presentations
Self-consistent mean field forces in two-fluid models of turbulent plasmas C. C. Hegna University of Wisconsin Madison, WI CMSO Meeting Madison, WI August.
Advertisements

Elastic stresses in turbulent flow with polymers: their role in turbulent drag reduction and ways to measure Victor Steinberg Department of Physics of.
Jonathan Morrison Beverley McKeon Dept. Aeronautics, Imperial College
Ch 24 pages Lecture 8 – Viscosity of Macromolecular Solutions.
Convection.
Turbulent Models.  DNS – Direct Numerical Simulation ◦ Solve the equations exactly ◦ Possible with today’s supercomputers ◦ Upside – very accurate if.
Boundary Layer Flow Describes the transport phenomena near the surface for the case of fluid flowing past a solid object.
Dr. Kirti Chandra Sahu Department of Chemical Engineering IIT Hyderabad.
..perhaps the hardest place to use Bernoulli’s equation (so don’t)
Direct numerical simulation study of a turbulent stably stratified air flow above the wavy water surface. O. A. Druzhinin, Y. I. Troitskaya Institute of.
Convection Convection Matt Penrice Astronomy 501 University of Victoria.
Physical-Space Decimation and Constrained Large Eddy Simulation Shiyi Chen College of Engineering, Peking University Johns Hopkins University Collaborator:
Turbulent Scalar Mixing Revisiting the classical paradigm in variable diffusivity medium Gaurav Kumar Advisor: Prof. S. S. Girimaji Turbulence Research.
Complex Fluids with Applications to Biology 2011/2012 VIGRE RFG
Dresden, May 2010 Introduction to turbulence theory Gregory Falkovich
Drag Reduction by Polymers in Wall-bounded Turbulence Itamar Procaccia The Weizmann Institute of Science Work with: V.S. L’vov, A. Pomyalov and V. Tiberkevich.
1 Physics of turbulence muna Al_khaswneh Dr.Ahmad Al-salaymeh.
Polymer Stretching by Turbulence + Elastic Turbulence Theory
CHE/ME 109 Heat Transfer in Electronics
Introduction to Statistical Thermodynamics of Soft and Biological Matter Lecture 4 Diffusion Random walk. Diffusion. Einstein relation. Diffusion equation.
Introduction to Convection: Flow and Thermal Considerations
Statistics of Lorenz force in kinematic stage of magnetic dynamo at large Prandtle number S.S.Vergeles Landau Institute for Theoretical Physics in collaboration.
Stochastic geometry of turbulence Gregory Falkovich Weizmann Institute November 2014 D. Bernard, G. Boffetta, A.Celani, S. Musacchio, K. Turitsyn, M. Vucelja.
Transport Equations for Turbulent Quantities
Introduction to Convection: Flow and Thermal Considerations
Experiments on turbulent dispersion P Tabeling, M C Jullien, P Castiglione ENS, 24 rue Lhomond, Paris (France)
This work was performed under the auspices of the U.S. Department of Energy by the University of California Lawrence Livermore National Laboratory under.
Lagrangian View of Turbulence Misha Chertkov (Los Alamos) In collaboration with: E. Balkovsky (Rutgers) G. Falkovich (Weizmann) Y. Fyodorov (Brunel) A.
Theories of Polyelectrolytes in Solutions
0 Local and nonlocal conditional strain rates along gradient trajectories from various scalar fields in turbulence Lipo Wang Institut für Technische Verbrennung.
Observation and simulation of flow in vegetation canopies Roger H. Shaw University of California, Davis.
Governing equations: Navier-Stokes equations, Two-dimensional shallow-water equations, Saint-Venant equations, compressible water hammer flow equations.
Reynolds-Averaged Navier-Stokes Equations -- RANS
1 CHAPTER 6 HEAT TRANSFER IN CHANNEL FLOW 6.1 Introduction (1) Laminar vs. turbulent flow transition Reynolds number is where  D tube diameter  u mean.
1 LES of Turbulent Flows: Lecture 6 (ME EN ) Prof. Rob Stoll Department of Mechanical Engineering University of Utah Spring 2011.
AMS 599 Special Topics in Applied Mathematics Lecture 8 James Glimm Department of Applied Mathematics and Statistics, Stony Brook University Brookhaven.
Turbulent properties: - vary chaotically in time around a mean value - exhibit a wide, continuous range of scale variations - cascade energy from large.
Mass Transfer Coefficient
Structural origin of non-Newtonian rheology Computer simulations on a solution of telechelic associating polymers J. Stegen +, J. Billen°, M. Wilson °,
Chapter 6 Introduction to Forced Convection:
LES of Turbulent Flows: Lecture 2 (ME EN )
Dry Boundary Layer Dynamics Idealized theory Shamelessly ripped from Emanuel Mike Pritchard.
LATTICE BOLTZMANN SIMULATIONS OF COMPLEX FLUIDS Julia Yeomans Rudolph Peierls Centre for Theoretical Physics University of Oxford.
Physics of turbulence at small scales Turbulence is a property of the flow not the fluid. 1. Can only be described statistically. 2. Dissipates energy.
The State of the Art in Hydrodynamic Turbulence: Past Successes and Future Challenges Itamar Procaccia The Weizmann Institute of Science Rehovot, Israel.
Turbulence Academic Engineering Difficult!!!! Boundaries Re is never inf. Anisotropic Non-Stationary Emphasize on large scales Developed Re>>1 (? about.
Stretching and Tumbling of Polymers in a random flow with mean shear M. Chertkov (Los Alamos NL) I. Kolokolov, V. Lebedev, K. Turitsyn (Landau Institute,
The Old Well 10/25/2003 AMS Sectional Conference 1 Continuum Fluid Simulations Using Microscopically Polymer Computed Constitutive Laws Sorin Mitran
Quantification of the Infection & its Effect on Mean Fow.... P M V Subbarao Professor Mechanical Engineering Department I I T Delhi Modeling of Turbulent.
Emerging symmetries and condensates in turbulent inverse cascades Gregory Falkovich Weizmann Institute of Science Cambridge, September 29, 2008 כט אלול.
INTRODUCTION TO CONVECTION
Turbulence Modeling In FLOTRAN Chapter 5 Training Manual May 15, 2001 Inventory # Questions about Turbulence What is turbulence and what are.
The Old Well 10/25/2003 AMS Sectional Conference 1 Continuum Fluid Simulations Using Microscopically Polymer Computed Constitutive Laws Sorin Mitran
Friction Losses Flow through Conduits Incompressible Flow.
Arthur Straube PATTERNS IN CHAOTICALLY MIXING FLUID FLOWS Department of Physics, University of Potsdam, Germany COLLABORATION: A. Pikovsky, M. Abel URL:
May 23, 2006SINS meeting Structure Formation and Particle Mixing in a Shear Flow Boundary Layer Matthew Palotti University of Wisconsin.
Viscosità Equazioni di Navier Stokes. Viscous stresses are surface forces per unit area. (Similar to pressure) (Viscous stresses)
Mixing Length of Hydrogen in an Air Intake Greg Lilik EGEE 520.
Solid object break-up Ivan Dramaliev CS260, Winter’03.
INSECTS AND HYDRODYNAMICS:
Introduction to the Turbulence Models
Reynolds-Averaged Navier-Stokes Equations -- RANS
Hydrodynamics of slowly miscible liquids
Kinetic Theory.
Polymer Dynamics and Rheology
Characteristics of Turbulence:
Kinetic Theory.
DIFFUSION COEFFICIENT
Turbulent Kinetic Energy (TKE)
Turbulent properties:
Presentation transcript:

Elastic Turbulence Theory Misha Chertkov Los Alamos Nat. Lab. Polymer Stretching by Turbulence (Statistics of a Passive Polymer) Pure (Re >1) Elastic Turbulence of dilute polymer solution Inertia-Elastic Turbulence (Re>>1,Wi>>1). Drag reduction. Santa Barbara Santa Barbara 02/10/00 Thanks A. Groisman, V. Steinberg, E. Balkovsky, L. Burakovsky, G. Falkovich, G. Doolen, D. Preston, S. Tretiak, B. Shraiman /polyprl.tex

Polymer Stretching by Turbulence MC, chao-dyn/ submitted to PRL Balance of forces Models of Elasticity A B C linear (Hook) dumb-bell nonlinear dumb-bell nonlinear chain Scale Separation smallest scale of the flow equilibrium polymer length stretched polymer length >> The question: to describe statistics of passive polymer ? Advection >> Diffusion Batchelor ‘59 Kraichnan ‘68 Shraiman, Siggia ‘94,’95 MC,Falkovich,Kolokolov,Lebedev ‘95 MC,Gamba,Kolokolov ‘94 Balkovsky,MC,Kolokolov,Lebedev ‘95 Bernard,Gawedzki,Kupianen’98 MC, Falkovich, Kolokolov ‘98 Balkovsky,Fouxon ‘99 Statistics of passive scalar advected by the large scale “Batchelor” velocity is understood Passive = statistics of is given

Passive linear polymer A CLT for the Lyapunov exponent statistics at First order transition: the polymer stretches indefinitly if advection exceeds diffusion Lumley ‘72 Balkovsky,Fouxon,Lebedev’99 Nonlinearity beats the stretching !! (saddle point parameter) PDF diss. scale PDF

Passive nonlinear polymer B MC ‘99 saddle point parameter Passive nonlinear chain C linear conformations are dominant N (number of segments) >>1 is an additional saddle parameter Notice the nonlinear dependance coming from the “equilibration” of the stretching by the nonlinearity PDF

Non-Newtonian hydrodynamics of a dilute polymer solution a dilute polymer solution MC, submitted to PRL Elastic part of the stress tensor in the kinetic theory approximation Hydrod. Inter-polymer Stretched Equilibrium scales distance polymer length polymer length >> Scale separation Navier-Stokes equation Regime of a weak elasticity (linear stretching) =>OldroydB model Regime of a strong elasticity (nonlinear stretching)=> local relation between and : Weissenberg number the maximal tension the largest eigenvalue of the direction of the eigenvector n- is the polymer solution concentration N>>1- is the dimensionless polymer length nondeg. deg. constitutive equation

Pure Elastic Turbulence (experiment) Groisman, Steinberg ‘96-’99 Power spectra of velocity fluctuations pure solvent d=10mm d=20mm Wi=13 Re=0.7 Swirling flow between two parallel disks transition to turbulence 80ppm polyacrylamide+ 65% sugar+1% NaCl in water

Pure Elastic Turbulence (theory) Elastic dissipation >> Viscous dissipation, Advection + constitutive equation Nonlinear diffusion poor-man scaling K- is the pumping amplitude of

Inertia-elastic Turbulence (instead of conclusions) Energy containing scale Viscous (Kolmogorov) scale Increase of n - polymer density Dissipation due to elasticity at the Kolmogorov scale is less then the viscous dissipation The drag reduction (dissipation dominated by the elasticity onset) The energy is dissipated at the elastic scale Polymers start to overlap each other (the kinetic approximation fails) According to Lumley’69 the increase in bulk dissipation (viscosity) is accompanied by a swelling of a boundary layer, that leads to the drag reduction