40
Stochastic geometry of turbulence Gregory Falkovich Weizmann Institute APS meeting, 28 February 2012 D. Bernard, G. Boffetta, A. Celani, S. Musacchio, B. K. Turitsyn,M. Vucelja

Stochastic geometry of turbulence

  • Upload
    burt

  • View
    46

  • Download
    1

Embed Size (px)

DESCRIPTION

Stochastic geometry of turbulence. Gregory Falkovich Weizmann Institute. D. Bernard , G. Boffetta, Celani, S . Musacchio , K. Turitsyn,M . Vucelja. APS meeting, 28 February 2012. Fractals, multi-fractals and God knows what. depends neither on q nor on r - fractal. - PowerPoint PPT Presentation

Citation preview

Page 1: Stochastic geometry of turbulence

Stochastic geometry of turbulence

Gregory FalkovichWeizmann Institute

APS meeting, 28 February 2012

D. Bernard, G. Boffetta, A. Celani, S. Musacchio, B. K. Turitsyn,M. Vucelja

Page 2: Stochastic geometry of turbulence

Fractals, multi-fractals and God knows what

depends neither on q nor on r - fractal

depends on q – multi-fractal

depends on r - God knows what

Page 3: Stochastic geometry of turbulence

Turbulence is a state of a physical system with many degrees of freedom

deviated far from equilibrium. It is irregular both in time and in space.

Energy cascade and Kolmogorov scaling

Transported scalar (Lagrangian invariant)

Page 4: Stochastic geometry of turbulence

Full level set is fractal with D = 2 - ζ

Random Gaussian Surfaces

What about a single isoline?

Page 5: Stochastic geometry of turbulence
Page 6: Stochastic geometry of turbulence

Schramm-Loewner Evolution - SLE

Page 7: Stochastic geometry of turbulence
Page 8: Stochastic geometry of turbulence

What it has to do with turbulence?

Page 9: Stochastic geometry of turbulence

C=ξ(t)

Page 10: Stochastic geometry of turbulence
Page 11: Stochastic geometry of turbulence

Euler equation in 2d describes transport of vorticity

Page 12: Stochastic geometry of turbulence

Family of transport-type equations

m=2 Navier-Stokes m=1 Surface quasi-geostrophic model,m=-2 Charney-Hasegawa-Mima model

Electrostatic analogy: Coulomb law in d=4-m dimensions

Page 13: Stochastic geometry of turbulence

This system describes geodesics on an infinitely-dimensional Riemannian manifold of the area-preserving diffeomorfisms. On a torus,

Page 14: Stochastic geometry of turbulence

(*)

Add force and dissipation to provide for turbulence

lhs of (*) conserves

Page 15: Stochastic geometry of turbulence

pumping

kQ

Kraichnan’s double cascade picture

P

Page 16: Stochastic geometry of turbulence

Inverse Q-cascade

ζ

m

Page 17: Stochastic geometry of turbulence

Small-scale forcing – inverse cascades

Page 18: Stochastic geometry of turbulence
Page 19: Stochastic geometry of turbulence

perimeter P

Boundary Frontier Cut points

Bernard, Boffetta, Celani &GF, Nature Physics 2006, PRL2007

Page 20: Stochastic geometry of turbulence
Page 21: Stochastic geometry of turbulence
Page 22: Stochastic geometry of turbulence
Page 23: Stochastic geometry of turbulence
Page 24: Stochastic geometry of turbulence

Scalar exponents ζ of the scalar field (circles) and stream function (triangles), and universality class κ for different m

ζ κ

Page 25: Stochastic geometry of turbulence
Page 26: Stochastic geometry of turbulence

Inverse cascade versus Direct cascade

Page 27: Stochastic geometry of turbulence

M Vucelja , G Falkovich & K S Turitsyn Fractal iso-contours of passive scalar in two-dimensional smooth random flows. J Stat Phys 147 : 424–435 (2012)

Page 28: Stochastic geometry of turbulence

Smooth velocity, locally anisotropic contours

Page 29: Stochastic geometry of turbulence
Page 30: Stochastic geometry of turbulence
Page 31: Stochastic geometry of turbulence
Page 32: Stochastic geometry of turbulence
Page 33: Stochastic geometry of turbulence
Page 34: Stochastic geometry of turbulence
Page 35: Stochastic geometry of turbulence
Page 36: Stochastic geometry of turbulence

Within experimental accuracy, isolines of advected quantities are conformal invariant (SLE) in turbulent inverse cascades. Why?

Vorticity isolines in the direct cascade are multi-fractal.

Isolines of passive scalar in the Batchelor regime continue to change on a time scale vastly exceeding the saturation time of the bulk scalar field.Why?

Conclusion

Page 37: Stochastic geometry of turbulence
Page 38: Stochastic geometry of turbulence
Page 39: Stochastic geometry of turbulence
Page 40: Stochastic geometry of turbulence