Simon Thalabard
University of Massachusetts Amherst
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Simon Thalabard.
Journal of Statistical Mechanics: Theory and Experiment | 2010
Aurore Naso; Simon Thalabard; Gilles Collette; Pierre-Henri Chavanis; Bérengère Dubrulle
We characterize the thermodynamical equilibrium states of axisymmetric Euler–Beltrami flows. They have the form of coherent structures presenting one or several cells. We find the relevant control parameters and derive the corresponding equations of state. We prove the coexistence of several equilibrium states for a given value of the control parameter like in 2D turbulence (Chavanis and Sommeria 1996 J. Fluid Mech. 314 267). We explore the stability of these equilibrium states and show that all states are saddle points of entropy and can, in principle, be destabilized by a perturbation with a larger wavenumber, resulting in a structure at the smallest available scale. This mechanism is reminiscent of the 3D Richardson energy cascade towards smaller and smaller scales. Therefore, our system is truly intermediate between 2D turbulence (coherent structures) and 3D turbulence (energy cascade). We further explore numerically the robustness of the equilibrium states with respect to random perturbations using a relaxation algorithm in both canonical and microcanonical ensembles. We show that saddle points of entropy can be very robust and therefore play a role in the dynamics. We evidence differences in the robustness of the solutions in the canonical and microcanonical ensembles. A scenario of bifurcation between two different equilibria (with one or two cells) is proposed and discussed in connection with a recent observation of a turbulent bifurcation in a von Karman experiment (Ravelet et al 2004 Phys. Rev. Lett. 93 164501).
Journal of Physics A | 2015
Simon Thalabard; Sergey Nazarenko; Sébastien Galtier; Sergey Medvedev
Differential models for hydrodynamic, passive-scalar and wave turbulence given by nonlinear first- and second-order evolution equations for the energy spectrum in the
Nonlinearity | 2016
Bruce Turkington; Qian-Yong Chen; Simon Thalabard
k
Journal of Statistical Mechanics: Theory and Experiment | 2018
Simon Thalabard
-space were analysed. Both types of models predict formation an anomalous transient power-law spectra. The second-order models were analysed in terms of self-similar solutions of the second kind, and a phenomenological formula for the anomalous spectrum exponent was constructed using numerics for a broad range of parameters covering all known physical examples. The first-order models were examined analytically, including finding an analytical prediction for the anomalous exponent of the transient spectrum and description of formation of the Kolmogorov-type spectrum as a reflection wave from the dissipative scale back into the inertial range. The latter behaviour was linked to pre-shock/shock singularities similar to the ones arising in the Burgers equation. Existence of the transient anomalous scaling and the reflection-wave scenario are argued to be a robust feature common to the finite-capacity turbulence systems. The anomalous exponent is independent of the initial conditions but varies for for different models of the same physical system.
Journal of Physics A | 2017
Simon Thalabard; Bruce Turkington
A model reduction technique based on an optimization principle is employed to coarse-grain inviscid, incompressible fluid dynamics in two dimensions. In this reduction the spectrally-truncated vorticity equation defines the microdynamics, while the macroscopic state space consists of quasi-equilibrium trial probability densities on the microscopic phase space, which are parameterized by the means and variances of the low modes of the vorticity. A macroscopic path therefore represents a coarse-grained approximation to the evolution of a nonequilibrium ensemble of microscopic solutions. Closure in terms of the vector of resolved variables, namely, the means and variances of the low modes, is achieved by minimizing over all feasible paths the time integral of their mean-squared residual with respect to the Liouville equation. The equations governing the optimal path are deduced from Hamilton–Jacobi theory. The coarse-grained dynamics derived by this optimization technique contains a scale-dependent eddy viscosity, modified nonlinear interactions between the low mode means, and a nonlinear coupling between the mean and variance of each low mode. The predictive skill of this optimal closure is validated quantitatively by comparing it against direct numerical simulations. These tests show that good agreement is achieved without adjusting any closure parameters.
Journal of Statistical Mechanics: Theory and Experiment | 2014
Simon Thalabard; Bérengère Dubrulle; Freddy Bouchet
We describe how turbulence distributes tracers away from a localized source of injection, and analyse how the spatial inhomogeneities of the concentration field depend on the amount of randomness in the injection mechanism. For that purpose, we contrast the mass correlations induced by purely random injections with those induced by continuous injections in the environment. Using the Kraichnan model of turbulent advection, whereby the underlying velocity field is assumed to be shortly correlated in time, we explicitly identify scaling regions for the statistics of the mass contained within a shell of radius
New Journal of Physics | 2015
Simon Thalabard; Brice Saint-Michel; Eric Herbert; François Daviaud; Bérengère Dubrulle
r
Physical Review Letters | 2014
Alexandre Pieri; Fabien S. Godeferd; Claude Cambon; Bérengère Dubrulle; Simon Thalabard
and located at a distance
Journal of Physics A | 2016
Simon Thalabard; Bruce Turkington
\rho
arXiv: Fluid Dynamics | 2014
Simon Thalabard; Brice Saint-Michel; Eric Herbert; François Daviaud; Bérengère Dubrulle
away from the source. The two key parameters are found to be (i) the ratio