Max Planck Institut für Plasmaphysik

Similar documents
Turbulent Rankine Vortices

Statistical studies of turbulent flows: self-similarity, intermittency, and structure visualization

On the decay of two-dimensional homogeneous turbulence

Nonequilibrium Dynamics in Astrophysics and Material Science YITP, Kyoto

Lagrangian acceleration in confined 2d turbulent flow

CVS filtering to study turbulent mixing

An Introduction to Theories of Turbulence. James Glimm Stony Brook University

Tutorial School on Fluid Dynamics: Aspects of Turbulence Session I: Refresher Material Instructor: James Wallace

Cascade Phenomenology in Turbulence: Navier-Stokes and MHD

GFD 2012 Lecture 1: Dynamics of Coherent Structures and their Impact on Transport and Predictability

Lagrangian intermittency in drift-wave turbulence. Wouter Bos

Vortex statistics for turbulence in a container with rigid boundaries Clercx, H.J.H.; Nielsen, A.H.

Dynamics and Statistics of Quantum Turbulence in Quantum Fluid

On Decaying Two-Dimensional Turbulence in a Circular Container

Vortex Dynamos. Steve Tobias (University of Leeds) Stefan Llewellyn Smith (UCSD)

Fluctuation dynamo amplified by intermittent shear bursts

Decaying 2D Turbulence in Bounded Domains: Influence of the Geometry

Lecture 3: The Navier-Stokes Equations: Topological aspects

Quantum Turbulence, and How it is Related to Classical Turbulence

Natalia Tronko S.V.Nazarenko S. Galtier

Chapter 5. The Differential Forms of the Fundamental Laws

Concentration and segregation of particles and bubbles by turbulence : a numerical investigation

Multiscale Computation of Isotropic Homogeneous Turbulent Flow

Homogeneous Turbulence Dynamics

Vortex scaling ranges in two-dimensional turbulence

Computational Fluid Dynamics 2

Vortical control of forced two-dimensional turbulence

A new statistical tool to study the geometry of intense vorticity clusters in turbulence

Small-Scale Statistics and Structure of Turbulence in the Light of High Resolution Direct Numerical Simulation

Dynamics of the Coarse-Grained Vorticity

Dynamical modeling of sub-grid scales in 2D turbulence

arxiv:chao-dyn/ v3 10 Mar 2000

Isotropic homogeneous 3D turbulence

Spectrally condensed turbulence in two dimensions

Intermittency, Fractals, and β-model

V (r,t) = i ˆ u( x, y,z,t) + ˆ j v( x, y,z,t) + k ˆ w( x, y, z,t)

Dissipation Scales & Small Scale Structure

Incompressible MHD simulations

Intermittent distribution of heavy particles in a turbulent flow. Abstract

Scale interactions and scaling laws in rotating flows at moderate Rossby numbers and large Reynolds numbers

Euler equation and Navier-Stokes equation

Passive Scalars in Stratified Turbulence

Locality of Energy Transfer

DNS of the Taylor-Green vortex at Re=1600

MULTISCALE ANALYSIS IN LAGRANGIAN FORMULATION FOR THE 2-D INCOMPRESSIBLE EULER EQUATION. Thomas Y. Hou. Danping Yang. Hongyu Ran

TURBULENCE IN STRATIFIED ROTATING FLUIDS Joel Sommeria, Coriolis-LEGI Grenoble

Fundamentals of Fluid Dynamics: Elementary Viscous Flow

Chapter 7 The Time-Dependent Navier-Stokes Equations Turbulent Flows

Velocity fluctuations in a turbulent soap film: The third moment in two dimensions

Eddy viscosity. AdOc 4060/5060 Spring 2013 Chris Jenkins. Turbulence (video 1hr):

Chuichi Arakawa Graduate School of Interdisciplinary Information Studies, the University of Tokyo. Chuichi Arakawa

Basic concepts in viscous flow

Isotropic homogeneous 3D turbulence

Dimensionality influence on energy, enstrophy and passive scalar transport.

Before we consider two canonical turbulent flows we need a general description of turbulence.

AER1310: TURBULENCE MODELLING 1. Introduction to Turbulent Flows C. P. T. Groth c Oxford Dictionary: disturbance, commotion, varying irregularly

Lecture 4: The Navier-Stokes Equations: Turbulence

Multiscale Computation of Isotropic Homogeneous Turbulent Flow

Fundamentals of Turbulence

2D Spinodal Decomposition in Forced Turbulence: Structure Formation in a Challenging Analogue of 2D MHD Turbulence

Topics in Fluid Dynamics: Classical physics and recent mathematics

CHAPTER 7 SEVERAL FORMS OF THE EQUATIONS OF MOTION

Spectral reduction for two-dimensional turbulence. Abstract

Problem C3.5 Direct Numerical Simulation of the Taylor-Green Vortex at Re = 1600

Lecture 14. Turbulent Combustion. We know what a turbulent flow is, when we see it! it is characterized by disorder, vorticity and mixing.

36. TURBULENCE. Patriotism is the last refuge of a scoundrel. - Samuel Johnson

Quantum vortex reconnections

On the (multi)scale nature of fluid turbulence

Fluid Dynamics Exercises and questions for the course

Energy spectrum in the dissipation range of fluid turbulence

Review of fluid dynamics

arxiv: v1 [physics.flu-dyn] 1 Sep 2010

Turbulent velocity fluctuations need not be Gaussian

Turbulence. 2. Reynolds number is an indicator for turbulence in a fluid stream

Vorticity and Dynamics

TURBULENCE IN FLUIDS AND SPACE PLASMAS. Amitava Bhattacharjee Princeton Plasma Physics Laboratory, Princeton University

2D Homogeneous Turbulence

Continuum Mechanics Lecture 5 Ideal fluids

Nonlinear Evolution of a Vortex Ring

Two-dimensional turbulence in square and circular domains with no-slip walls

J. Szantyr Lecture No. 4 Principles of the Turbulent Flow Theory The phenomenon of two markedly different types of flow, namely laminar and

Turbulence: Basic Physics and Engineering Modeling

3.5 Vorticity Equation

Soft Bodies. Good approximation for hard ones. approximation breaks when objects break, or deform. Generalization: soft (deformable) bodies

Energy and enstrophy dissipation in steady state 2d turbulence

Direct numerical simulation of forced MHD turbulence at low magnetic Reynolds number

4. Quasi-two-dimensional turbulence 000

LES of Turbulent Flows: Lecture 3

MHD turbulence in the solar corona and solar wind

arxiv: v1 [physics.flu-dyn] 24 Feb 2016

Validation of an Entropy-Viscosity Model for Large Eddy Simulation

Vortex dynamics in finite temperature two-dimensional superfluid turbulence. Andrew Lucas

Scaling of space time modes with Reynolds number in two-dimensional turbulence

Turbulent energy density and its transport equation in scale space

7 The Navier-Stokes Equations

Geometry of particle paths in turbulent flows

Une méthode de pénalisation par face pour l approximation des équations de Navier-Stokes à nombre de Reynolds élevé

Regularity diagnostics applied to a turbulent boundary layer

Intermittency of quasi-static magnetohydrodynamic turbulence: A wavelet viewpoint

Turbulence (January 7, 2005)

Transcription:

ASDEX Upgrade Max Planck Institut für Plasmaphysik 2D Fluid Turbulence Florian Merz Seminar on Turbulence, 08.09.05

2D turbulence? strictly speaking, there are no two-dimensional flows in nature approximately 2D: soap films, stratified fluids, geophysical flows, magnetized plasmas

2D turbulence? a simplified situation (compared to 3D), more accessible to theoretical, experimental and computational approaches, interesting for developing and testing general ideas about turbulence much easier to visualize than 3D-turbulence interesting new phenomena (e.g. dual cascade)

Outline Basic equations Cascades in 2D Coherent structures

Basic equations: velocity 2D-Navier-Stokes equations for an incompressible fluid: D ( Dt v = t + v v = 0 ) v = 1 ρ p + f ext + ν 2 v where v is in the (x,y) plane, ( v ẑ = 0). For viscosity ν = 0 and f ext = 0 these equations are called Euler equations.

Basic equations: vorticity Taking the curl of the NS equations and discarding the zero x and y components of the equation gives ( D Dt ω = t + v ) ω = g + ν 2 ω for the vorticity ω = ( v ) ẑ. If g = ( f ext ) ẑ = 0 and ν = 0 (Euler equation), we have D Dt ω = 0 vorticity is conserved

Basic equations: energy and enstrophy Important quantities: mean energy E = 1 2 u2 de dt = 2νZ enstrophy Z = 1 2 ω2 (mean square vorticity) dz dt = 2ν ( ω) 2 in 2D with curl free forcing, energy and enstrophy can only decrease with time, they are conserved in the inviscid case (ν = 0) for ν 0 we get de dt 0, energy is a robust invariant in 2D dz dt does not necessarily go to zero for ν 0, enstrophy is a fragile invariant (dissipation anomaly!)

Dissipation anomaly as time evolves, vorticity patches get distorted by background velocity and generate smaller and smaller filaments the vorticity gradient increases and dz dt = 2ν ( ω)2 becomes sizeable dissipation even for ν 0: fragile invariant in the enstrophy cascade, the dissipation rate is independent of ν but depends only on the enstrophy transfer rate ν only determines the enstrophy dissipation scale, not the enstrophy dissipation rate

Exact results For forced, isotropic and homogenous turbulence: for small scales: Corrsin-Yaglom-relation for passive tracers D L (r) 2ν ds 2 dr = 4 3 ηr (D L (r) = (v L ( x) v L ( x + r))(ω( x) ω( x + r)) 2, S 2 (r) = (ω( x) ω( x + r)) 2 ), η = ν ( ω) 2 ) for large scales: 2D-analogue of the Kolmogorov relation (4/5-law) F 3 (r) = 3 2 ɛr (F 3 (r) = (v L ( x) v L ( x + r)) 3, ɛ = ν (ω) 2 = 2νZ) sign of the prefactor reversed!

Cascades

Direction of the energy/enstrophy transfer In spectral space, the expressions for energy and enstrophy read E = Z = E(k, t)dk k 2 E(k, t)dk... E 1 E 3 k 1 Z 1 k 2 Z 3 k 3... E 2 = E 1 + E 3, Z 2 = Z 1 + Z 3. E 2 Z 2 Energy and enstrophy conservation for three Fourier modes k 1, k 2 = 2k 1, k 3 = 3k 1

Direction of the energy/enstrophy transfer δe 1 + δe 2 + δe 3 = 0 k 2 1 δe 1 + k 2 2 δe 2 + k 2 3 δe 3 = 0 with δe i = E(k i, t 2 ) E(k i, t 1 ). Combining the equations gives δe 1 = 5 8 δe 2 δe 3 = 3 8 δe 2 k 2 1 δe 1 = 5 32 k2 2 δe 2 k 2 3 δe 3 = 27 32 k2 2 δe 2 enstrophy goes to higher k (direct enstrophy cascade), energy goes to lower k (inverse energy cascade)

Direction of the energy/enstrophy transfer Alternatively: E = Z = E(k, t)dk k 2 E(k, t)dk an evolution of E(k, t) to larger k conflicts with the boundedness of enstrophy E(k, t) must evolve towards small wave numbers / large scales

KBL theory: dual cascade Kraichnan, Batchelor, Leith proposed the existence of a dual cascade in steady state turbulence ( 1968): energy/enstrophy is constantly injected at some intermediate k i direct enstrophy cascade to higher k dissipation scale k d = (β/ν 3 ) 1/6 (equivalent to Kolmogorov microscale in 3D) inverse energy cascade to lower k condenses in the lowest mode (for bounded domain) / is stopped by Ekman friction ( µ v-term in NS-equation) at (k E = µ 3 /ɛ) 1/2 E(k) is stationary, the transfer rates of energy ɛ and enstrophy β far from the dissipation scales are independent of k (self-similarity)

KBL theory: inertial ranges inertial range of the energy cascade: for k E k k i, the energy spectrum can only depend on ɛ. Dimensional analysis: k = [L] 1 ; E(k) = [L] 3 [T ] 2 ; ɛ = [L] 2 [T ] 3 E(k) = Cɛ 2/3 k 5/3 inertial range of the enstrophy cascade (k i k k d ): the energy spectrum can only depend on β. Dimensional analysis: k = [L] 1 ; E(k) = [L] 3 [T ] 2 ; β = [T ] 3 E(k) = C β 2/3 k 3 C, C constant and dimensionless. zero enstrophy transfer in the energy inertial range, zero energy transfer in the enstrophy inertial range

KBL: Inertial ranges in steady state turbulence

Experiments: soap films vertically flowing soap films are approximately 2D (thickness variations of about 10% - condition of incompressibility is slightly violated) turbulence is generated by grids/combs inserted in the flow

Experiments: soap films Energy spectrum in soap film

Correction to the energy spectrum the k 3 -spectrum of the enstrophy cascade gives rise to inconsistency: infrared divergence of for the (k-dependent) enstrophy transfer rate Λ(k) for k i 0 reason: contributions of larger structures to the shear on smaller structures (nonlocality in k-space). Kraichnan (TFM-closure approximation): logarithmic correction to restore constant transfer rate ( ) 1/3 k E(k) = C β 2/3 k 3 ln k i

Correction to the energy spectrum attempts to measure the corrections are being made: k 3 E(k) and (enstrophy flux)/β for various Reynolds numbers (direct numerical simulation [DNS] results)

Cascades: 2D vs. 3D Vorticity equation in 3 dimensions (analogous to MHD kinematic equation for ω B): D Dt ω = ( ω ) v + g + ν 2 ω the additional vortex-stretching term changes the behaviour significantly: gradients in the velocity field stretch embedded vortex tubes as the cross section decreases, the vorticity increases

Cascades: 2D vs. 3D enstrophy in 3D is not conserved even for ν = 0 but increases with time (in 2D: fragile invariant) no enstrophy cascade in 3D! energy in 3D follows de dt = 2νZ and is a fragile invariant (in 2D: robust invariant) energy cascades to smaller scales in 3D (direct cascade), in 2D to large scales (inverse cascade) E(k) has the same k 5/3 -dependence in the inertial range of the energy cascade

Cascades: 2D vs. 3D experimental results for grid turbulence in 3D/2D

Coherent structures

Coherent structures physical and numerical experiments: long lived vortical structures (lifetime turnover time) spontaneously emerging from the turbulent background these coherent structures alter the cascading behavior especially important in freely decaying turbulence (they can be inhibited / destroyed in forced systems) clear definition/identification of coherent structures difficult, several competing methods: e.g. simple threshold criteria, Weiss criterion, wavelet decomposition..

Coherent structures: axisymmetrisation experiments: elliptical structures are not stable but become circular exact theoretical result: circular patches of uniform vorticity are nonlinearly stable

Coherent structures: vortex merging experiments: if like sign vortices of comparable strength get too close, they merge (axisymmetrization) theory: analytical solution for the merging of two identical vortices

Coherent structures: vortex break-up experiments: the strain caused by the stronger vorices distorts weaker vortices up to destruction vorticity adds to background vorticity

Coherent structures: time evolution by vortex merging and break-up, the coherent structures in a freely decaying system become fewer and larger observables: evolution of vortex density ρ, typical radius a, intervortical distance r, extremal vorticity ω ext

Universal decay theory for dilute vortex gas empirical approach by Carnevale et al. assumption: two invariants E ρω 2 ext a4, contributions outside vortices negligible vorticity extremum ω ext of the system (observation) length scale l = E/ω ext, time scale τ = 1/ω ext Dimensional reasoning gives ρ = l 2 g(t/τ). Assumption g(t/τ) = (t/τ) ξ gives (ξ is to be measured) ρ l 2 (t/τ) ξ, a l(t/τ) ξ/4, Z τ 2 (t/τ) ξ/2 r l(t/τ) ξ/2, v E,

Universal decay theory : comparison with DNS left: decay law for the number of vortices right: inverse vortex density, intervortical distance, size, extremal vorticity (lines for ξ = 0.75)

Decay of vortex populations vortex merging and vortex break-up lead to ever larger and fewer coherent structures the system evolves towards a final dipole

Intermittency in 2D experimental results: no intermittency in 2D turbulence no theoretical explanation yet PDFs for longitudinal, transverse velocity increment (energy cascade) and the vorticity increment (enstrophy cascade) for several scales. δv = v L ( x) v L ( x+ r) δv = v T ( x) v T ( x+ r) δω = ω( x) ω( x+ r)

Intermittency in 2D hyperflatness H 2n (l) = F 2n(l) F 2 (l) n, F n (l) = δv (l) n (energy cascade) and structure functions of vorticity S n (l) = δω(l) n (enstrophy cascade) no intermittency, slight deviations from gaussianity are assumed to stem from coherent structures

Summary the existence of a dual enstrophy-energy cascade (KBL-theory) is experimentally confirmed coherent structures play an important role (especially in decaying turbulence) and modify the energy spectrum predicted by KBL-theory there is no intermittency found in experiments several systems of interest (e.g. geophysical flows, magnetized plasmas) are approximately 2-dimensional - results of 2D fluid turbulence are applicable

Further reading General 2D turbulence: P.A. Davidson, Turbulence, Oxford University Press (2004) M. Lesieur, Turbulence in Fluids, Kluwer (1997) U. Frisch, Turbulence, Cambridge University Press (1995) P. Tabelling, Two-dimensional turbulence: a physicist approach, Phys. Rep. 362, 1-62 (2002) Cascade classics Kraichnan, Inertial Ranges in Two-Dimensional Turbulence, Phys. Fluids 10, 1417 (1967) Leith, Diffusion Approximation for Two-Dimensional Turbulence, Phys. Fluids 11, 1612 (1968) Batchelor, Computation of the Energy Spectrum in Homogenous Two-Dimensional Turbulence, Phys. Fluids 12, II-233 (1969)