Biferale lecture

Information about Biferale lecture

Published on October 29, 2007

Author: Chan

Source: authorstream.com

Content

Multifractals and Wavelets in Turbulence Cargese 2004:  Multifractals and Wavelets in Turbulence Cargese 2004 Luca Biferale Dept. of Physics, University of Tor Vergata, Rome. INFN-INFM [email protected] Slide2:  Eulerian Turbulence Random Multiplicative Processes Wavelets Synthesis and Analysis of signals Sequential multi-affine fields Inertial range physics Dissipative physics Large Deviations Theory Multiplicative time-dependent random processes Deterministic dynamical models of Navier-Stokes eqs. Dyadic multi-affine fields Lagrangian turbulence NAVIER-STOKES EQUATIONS Slide3:  + boundary conditions Kinematics + Dissipation are invariant under Rotation+Translation Turbulent jet 3d Convective Cell Shear Flow Small-scale statistics: are there universal properties? Ratio between non-universal/universal components at different scales Slide4:  Physical Complexity Reynolds number ~ (Non-Linear)/(Linear terms) Fully Developed Turbulence: Strongly out-of-equilibrium non-perturbative system Power laws: Small-scales PDF strongly non-Gaussian Many-body problem Energy spectrum acceleration Slide5:  spatio-temporal Richardson cascade Slide6:  Scaling invariance in the Inertial Range Third order longitudinal structure functions: EXACT FROM NAVIER-STOKES EQS. Slide7:  Kolmogorov 1941 Local slope of 6th order structure function in the isotropic sector, at changing Reynolds and large scale set-up. k41 Logarithmic local slopes Slide8:  k41 Slide9:  Simple Eulerian multifractal formalism Slide10:  Fractal dimension of the set “local” scaling invariance Slide11:  What about PDF? Experimental results tell us PDF at large scale is close to Gaussian Superposition of Gaussians with different width: Slide12:  How to derive D(h) from the equation of motion? Physical intuition of D(h): the result of a random energy cascade Slide13:  Large deviation theory ! Scaling is recovered in a statistical sense, no local scaling properties ! Slide14:  Looking for other physical observable: the physics of dissipation Slide15:  Energy dissipation is Reynolds independent: Dissipative anomaly How to derive the statistics of gradients within the multifractal formalism? Dissipative scale fluctuates Slide16:  2 consequences: Intermediate dissipative range Statistics of gradients highly non trivial Slide17:  Synthesis & Analysis How to build a multiaffine field with prescribed scaling laws How to distinguish synthetic and real fields Slide18:  Richardson cascade: random multiplicative process Slide19:  Multiplicative uncorrelated structure Slide20:  + Spatial Ergodicity Slide21:  Physics of dissipation easily implemented by changing distributions of multipliers What about 2d and 3d fields: possible theoretically, much more hard numerically What about divergence-less fields: same as before What about temporal and spatial scaling? Where are the Navier-Stokes eqs? Slide22:  Eulerian measurements Lagrangian measurements Wavelets, Multiplicaitive processes, Diadic structure and time properties Fluctuating local eddy-turn-over time Constraint from the equation of motion Slide23:  Simple multifractal formalism Eulerian vs Lagrangian Eulerian: Lagrangian Multi-particle Needing for “sequential” multiaffine functions/measures Slide24:  High resolution for following particles Typical velocity and acceleration Slide25:  Single particle statistics kurtosis Local slopes ESS: Local slopes Slide26:  Eulerian Turbulence Random Multiplicative Processes Wavelets Synthesis and Analysis of signals Sequential multiaffine fields Inertial range physics Dissipative physics Large Deviations Theory Multiplicative time-dependent random processes Deterministic dynamical models of Navier-Stokes eqs. (Shell Models) Diadic multiaffine fields Lagrangian turbulence NAVIER-STOKES EQUATIONS Slide27:  Personal view on “Modern issues in turbulence and scaling” Multi-time multi-scale correlation functions: Synthesis with the correct properties? Wavelets? Analysis considering different geometrical configuration connections with NS eqs. ? Inverse structure functions, i.e. exit time statistics A way to characterize “laminar velocity fluctuations”: 2d turbulence, 2-particles diffusion, Pick of velocity PDF in FDT Sub-leading correction to scaling: anisotropy, non-homogeneity … Are the corrections universal? Quantify the leaading/sub-leading ratios Phenomenology of the anisotropic fluctuations: is there a cascade? Connection to NS eqs. Anisotropy in Turbulent Flows and in Turbulent Transport L. Biferale and I. Procaccia . nlin.CD/0404014 Inverse Statistics in two dimensional turbulence L. Biferale, M. Cencini, A. Lanotte  and D. Vergni Phys. Fluids  15  1012, 2003. Shell Models of Energy Cascade in Turbulence. L. Biferale Ann. Rev. Fluid. Mech.  35, 441,  2003 Slide28:  U. Frisch, Turbulence: the legacy of A.N. Kolmogorov (Cambridge University Press, Cambridge, 1995) T. Bohr, M.H. Jensen, G. Paladin, A. Vulpiani, Dynamical System Approach to Turbulence (Cambridge University Press, Cambridge 1997) R. Benzi and L. Biferale, Intermittency in Turbulence in “CISM Courses and Lectures No. 442 : Theories of Turbulence” (edited by M. Oberlack and F.H. Busse, Springer 2002) L. BIferale, G. Boffetta and B. Castaing, Turbulence Pleinement Developpee, in “L’heritage de Lomogorov en physsique” (ed. R. Livi and A. Vulpiani, Belin, Paris 2003) A.Arneodo, B. Audit, E. Bacry, S. Manneville, J.F. Muzy and S.G. Roux, Scale invariance and beyond: what can we learn from wavelet analysis (in Scale invariance and beyond, ed. B. Dubrulle, F. Graner and D. Sornette, EDP Science Springer 1997) M. Farge, Turbulence analysis, modelling and computing using wavelets in Wavelets in Physics Edited by J. C. van den Berg (Cambridge, 1999) P. Abry, J. Bec, M. Borgas, A. Celani, M. Cencini, S. Ciliberto, L. Chevillard, B. Dubrulle, G. Eyink, G. Falkovich, Y. Gagne, K. Gawedsky, S. Grossmann, A. Lanotte, E. Leveque, D. Lohse, V. L’vov, L. Kadanoff, R. Kraichnan, A. Kupiainen, B. Mandelbrot, C. Meneveau, N.Mordant, A. Noullez, E. Novikov, G. Parisi, JF. Pinton, J. Peinke, A. Pumir, I. Procaccia, Z.-S. She, K.R. Sreenivasan, P. Tabeling, F. Toschi, M. Vergassola, V. Yakhot, Z. Warhaft. Slide29:  Energy injection Energy dissipation Energy transfer Inertial range of scales

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