What is Turbulence? Fabian Waleffe. Depts of Mathematics and Engineering Physics University of Wisconsin, Madison

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What is Turbulence? Fabian Waleffe Depts of Mathematics and Engineering Physics University of Wisconsin, Madison

it s all around,... and inside us! Leonardo da Vinci (c. 1500) River flow, pipe flow, flow from a faucet,... Clouds, smoke,... Wakes behind boats, golf balls, bikers, cars, airplanes... Nuclear fusion, stars,... Blood flow in heart and large arteries (R 20, 000 in aorta!)

Reynolds 1883: turbulence in pipe flow

Navier-Stokes equations 3D velocity field v(x, t): v = 0 t v + (vv) + p = 1 R 2 v Control parameter: Reynolds number R non-dimensional velocity 1 R non-dimensional viscosity

Simple geometries, simple flow? Pipes, Channels Laminar solutions: v = (1 y 2 )ˆx plane Couette v = yˆx Linearly stable yet: R 2, 000 R 350

Turbulence in channel flow Front Top Side Green, M. A., Rowley, C. W. & Haller, G. Detection of Lagrangian coherent structures in three-dimensional turbulence, J. Fluid Mech., 572, 2007, 111-120.

Classical statistical approach to Turbulence v(x, t) random ensemble average v v = 0 t v + ( v v ) + p = 1 R 2 v vv Closure problem: Reynolds stress vv =?!

vv modeling [Prandtl-von Karman] Turbulence = collisions of eddies? eddy viscosity: vv ν T ( v + v T ) ν T? mixing length, Smagorinsky,...

vv modeling [Prandtl-von Karman] Turbulence = collisions of eddies? eddy viscosity: vv ν T ( v + v T ) ν T? mixing length, Smagorinsky,... [Richardson-Kolmogorov] Turbulence = Cascade of energy from large to small scales? scale-similarity, inertial range, return-to-isotropy,... K-Epsilon ν T, Dynamic model, RANS, LES,...

vv modeling [Prandtl-von Karman] Turbulence = collisions of eddies? eddy viscosity: vv ν T ( v + v T ) ν T? mixing length, Smagorinsky,... [Richardson-Kolmogorov] Turbulence = Cascade of energy from large to small scales? Walls?! Ouch! scale-similarity, inertial range, return-to-isotropy,... K-Epsilon ν T, Dynamic model, RANS, LES,...

vv modeling [Prandtl-von Karman] Turbulence = collisions of eddies? eddy viscosity: vv ν T ( v + v T ) ν T? mixing length, Smagorinsky,... [Richardson-Kolmogorov] Turbulence = Cascade of energy from large to small scales? Walls?! Ouch! scale-similarity, inertial range, return-to-isotropy,... K-Epsilon ν T, Dynamic model, RANS, LES,... v random? coherent structures!

Turbulence is controlled by boundary conditions (with apologies to Kolmogorov and Clay Institute)

What are coherent structures?

What are coherent structures? How do they fit with classical models of turbulence?

What are coherent structures? How do they fit with classical models of turbulence?? About 50 years of a posteriori, qualitative studies

Streaks with 100 + z-spacing Kline, Reynolds, Schraub & Runstadler, JFM 1967 (diagram from Smith & Walker, 1997)

Near wall coherent structures John Kim, http://www.turbulence.ucla.edu/

Characteristic near-wall coherent structure Derek Stretch, CTR Stanford, 1990 Streaks + staggered quasi-streamwise vortices: why?

Self-Sustaining Process (SSP) advection of mean shear Streaks O(1) instability of U(y,z) Streamwise Rolls O(1/R) nonlinear self interaction Streak wave mode (3D) O(1/R) WKH 1993, HKW 1995, W 1995, 1997

SSP theory SSP method Construction of Exact Coherent States from SSP ( Full NSE, Newton s method) PRL 1998, JFM 2001, PoF 2003

Laminar Couette flow: u=0 & u=-0.5 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP: Streamwise Rolls create Streaks 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP: Rolls create Streaks 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP: Rolls create Streaks 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP in action: Subcritical Bifurcation from Streaks 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP in action: Subcritical Bifurcation from Streaks 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP in action: Subcritical Bifurcation from Streaks 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP in action: Subcritical Bifurcation from Streaks 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP in action: Subcritical Bifurcation from Streaks 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP in action: Subcritical Bifurcation from Streaks 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP in action: Subcritical Bifurcation from Streaks 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP in action: Subcritical Bifurcation from Streaks 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP in action: Subcritical Bifurcation from Streaks 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP: Self-Sustained! 3D Lower branch 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP: Self-Sustained! 3D Lower branch 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP: Bifurcation from Streaks 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP: Bifurcation from Streaks 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP: Self-Sustained! 3D Upper branch 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

SSP: Self-Sustained! 3D Upper branch 1.5 1 Wx 0.5 0 1 0 1 2 3 4 5 Fr

Homotopy Free-Free Couette (FFC) Rigid-Free Poiseuille (RFP) µ = 0 1 BC : (1 µ) du dy + µu = 0 Flow : ( 1 U L (y) = y + µ 6 y 2 ) 2

FFC RFP

FFC RFP

FFC RFP

FFC RFP

FFC RFP

Poiseuille traveling wave!

Poiseuille traveling wave!

SSP, ECS: Generic structurally stable, dynamically unstable Plane Couette and Channel, free-slip, no-slip, any-slip! Pipe: Faisst & Eckhardt PRL 2003, Wedin & Kerswell JFM 2004, Hof et al. Science 2004, Pringle & Kerswell PRL 2007

Optimum Traveling Wave: 100 +! min R τ = 2h + = 44 for L + x = 274, L + z = 105 just right!

Out-of-the-blue-sky (saddle-node) 3.5 3 2.5 DRAG 2 1.5 1 0 500 1000 1500 2000 2500 R Lower branch does NOT bifurcate from laminar flow! RRC (α, γ) = (1, 2), (1.14, 2.5), up to R 60 000 + asymptotics

Vortex visualization ω x 2Q= 2 p = Ω ij Ω ij S ij S ij

Upper and Lower branches 0.6 max(q), (α, γ) = (1.14, 2.5).

Upper and Lower branches 0.6 max(q), (α, γ) = (1.14, 2.5).

Upper and Lower branches 0.6 max(q), (α, γ) = (1.14, 2.5).

Upper and Lower branches 0.6 max(q), (α, γ) = (1.14, 2.5).

Upper and Lower branches 0.6 max(q), (α, γ) = (1.14, 2.5).

Upper and Lower branches 0.6 max(q), (α, γ) = (1.14, 2.5).

Upper and Lower branches 0.6 max(q), (α, γ) = (1.14, 2.5).

Upper and Lower branches 0.6 max(q), (α, γ) = (1.14, 2.5).

Upper and Lower branches 0.6 max(q), (α, γ) = (1.14, 2.5).

Upper and Lower branches 0.6 max(q), (α, γ) = (1.14, 2.5).

Upper and Lower branches 0.6 max(q), (α, γ) = (1.14, 2.5).

Upper and Lower branches no-slip Couette 5 4 Dissipation Rate 3 2 1 1 2 3 4 5 Energy Input Rate Steady State & turbulent (by Jue Wang & John Gibson) in RRC, R = 400, (α, γ)=(0.95,1.67)

Upper branches Turbulence (no-slip Couette) 1 1 0.5 0.5 y 0 y 0 0.5 0.5 1 1 0.5 0 0.5 1 U 1 0 0.1 0.2 0.3 RMS solid: Turbulent (avg t=2000), dash: fixed point Mean and RMS velocity profiles

LB eigenvalues, (α, γ) = (1.14, 2.5), (1, 2), R = 1000 1 0.8 0.6 0.4 0.2 0 0.2 Only 1 unstable eig! 0.4 0.6 0.8 1 0.2 0.15 0.1 0.05 0 0.05

LB Transition (α, γ) = (1.14, 2.5), (1, 2), R = 1000 14 14 13 13 12 12 11 11 10 10 Dissipation Rate 9 8 7 6 Dissipation Rate 9 8 7 6 5 5 4 4 3 3 2 2 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Energy Input Rate 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Energy Input Rate 1.6 1.6 1.5 1.5 Dissipation Rate 1.4 1.3 1.2 Dissipation Rate 1.4 1.3 1.2 1.1 1.1 1 1 1.1 1.2 1.3 1.4 1.5 1.6 Energy Input Rate 1 1 1.1 1.2 1.3 1.4 1.5 1.6 Energy Input Rate

Lower branch R = 1000 0.6 max(q), R = 1000, (α, γ) = (1.14, 2.5).

Two states of fluid flow Turbulent Laminar

Separatrix, transition threshold Turbulent Laminar

Unstable Coherent States! Turbulent Laminar

PCF data (R = 400) 5 4 Dissipation Rate 3 2 1 1 2 3 4 5 Energy Input Rate Periodic solutions in HKW (1.14, 1.67) by Viswanath, JFM 2007 & Gibson (TBA)

Visualizing State Space ( 10 5 dof s) 0.1 u NB u LM a 3 0 0.2 0.1 0 a 2 0 0.1 0.2 0.3 a 0.4 1 0.2 RRC, R=400, Gibson, Halcrow, Cvitanovic, JFM to appear arxiv.org/0705.3957

Visualizing State Space (PCF, R=400) u UB 0.1 u LB τ z u UB u LM a 3 0 τ xz u LB τ x u UB 0.2 0.1 τ xz u UB 0 a 2 0 0.1 0.2 0.3 0.4 0.2 a 1 RRC, R=400, Gibson, Halcrow, Cvitanovic, JFM to appear arxiv.org/0705.3957

Conclusions Turbulence is not the random collisions of fluid molecules

Conclusions Turbulence is not the random collisions of fluid molecules Turbulence is not a cascade of energy from large to small scales

Conclusions Turbulence is not the random collisions of fluid molecules Turbulence is not a cascade of energy from large to small scales not small scale random fluctuations but...

Conclusions Turbulence is not the random collisions of fluid molecules Turbulence is not a cascade of energy from large to small scales Multiscale Exact Coherent States (ECS) do the transport

Conclusions Turbulence is not the random collisions of fluid molecules Turbulence is not a cascade of energy from large to small scales Multiscale Exact Coherent States (ECS) do the transport ECS= 3D Traveling wave and periodic solutions of Navier-Stokes

Conclusions Turbulence is not the random collisions of fluid molecules Turbulence is not a cascade of energy from large to small scales Multiscale Exact Coherent States (ECS) do the transport ECS= 3D Traveling wave and periodic solutions of Navier-Stokes ECS: upper turbulence, lower transition

Conclusions Turbulence is not the random collisions of fluid molecules Turbulence is not a cascade of energy from large to small scales Multiscale Exact Coherent States (ECS) do the transport ECS= 3D Traveling wave and periodic solutions of Navier-Stokes ECS: upper turbulence, lower transition ECS unstable manifolds: low dimensional(?) control

Conclusions Turbulence is not the random collisions of fluid molecules Turbulence is not a cascade of energy from large to small scales Multiscale Exact Coherent States (ECS) do the transport ECS= 3D Traveling wave and periodic solutions of Navier-Stokes ECS: upper turbulence, lower transition ECS unstable manifolds: low dimensional(?) control Asymptotic theory of lower branch solutions? Proof?