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相关论文: Phase Transition in the Passive Scalar Advection

200 篇论文

An exact relation is derived between scalar dissipation due to molecular diffusivity and the randomness of stochastic Lagrangian trajectories for flows without bounding walls. This "Lagrangian fluctuation-dissipation relation" equates the…

流体动力学 · 物理学 2017-10-13 Theodore D. Drivas , Gregory L. Eyink

Transport of scalar fields in compressible flow is investigated. The effective equations governing the transport at scales large compared to those of the advecting flow are derived by using multi-scale techniques. Ballistic transport…

chao-dyn · 物理学 2009-10-28 M. Vergassola , M. Avellaneda

It is well known that the fluid-particle acceleration is intimately related to the dissipation rate of turbulence, in line with the Kolmogorov assumptions. On the other hand, various experimental and numerical works have reported as well…

流体动力学 · 物理学 2022-08-22 Rémi Zamansky

The dynamics of fluid particles on cylindrical manifolds is investigated. The velocity field is obtained by generalizing the isotropic Kraichnan ensemble, and is therefore Gaussian and decorrelated in time. The degree of compressibility is…

混沌动力学 · 物理学 2010-12-08 Antonio Celani , Sylvain Rubenthaler , Dario Vincenzi

We study the statistics of fluid (gas) density and concentration of passive tracer particles (dust) in compressible turbulence. We raise the question of whether the fluid density which is an active field that reacts back on the transporting…

流体动力学 · 物理学 2019-08-28 Itzhak Fouxon , Michael Mond

We consider statistics of the passive scalar on distances much larger than the pumping scale. Such statistics is determined by statistics of Lagrangian contraction that is by probabilities of initially distant fluid particles to come close.…

chao-dyn · 物理学 2009-10-31 E. Balkovsky , G. Falkovich , V. Lebedev , M. Lysiansky

The Kraichnan rapid advection model is recast as the stochastic dynamics of tracer trajectories. This framework replaces the random fields with a small set of stochastic ordinary differential equations. Multiscaling of correlation functions…

统计力学 · 物理学 2009-10-30 Omri Gat , Reuven Zeitak

The paper revisits the compressible Kraichnan model of turbulent advection in order to derive explicit quantitative relations between scaling exponents and Lagrangian particle configuration geometry.

混沌动力学 · 物理学 2011-11-15 Paolo Muratore-Ginanneschi

In this paper we analyze the transport of passive tracers by deterministic stationary incompressible flows which can be decomposed over an infinite number of spatial scales without separation between them. It appears that a low order…

数学物理 · 物理学 2009-11-10 Houman Owhadi

The temporal statistics of incompressible fluid velocity and passive scalar fields in developed turbulent conditions is investigated by means of direct numerical simulations along the trajectories of self-propelled point-like probes…

流体动力学 · 物理学 2018-05-16 Enrico Calzavarini , Yongxiang X. Huang , François G. Schmitt , Lipo P. Wang

The effect of anisotropy on the statistics of a passive tracer transported by a turbulent flow is investigated. We show that under broad conditions an arbitrarily small amount of anisotropy propagates to the large scales where it eventually…

混沌动力学 · 物理学 2009-11-11 Antonio Celani , Agnese Seminara

We study the effect of turbulence on a sedimenting layer of particles by means of direct numerical simulations. A Lagrangian model in which particles are considered as tracers with an additional downward settling velocity is integrated…

流体动力学 · 物理学 2020-07-08 Alessandro Sozza , Gabor Drotos , Emilio Hernández-García , Cristóbal López

We demonstrate that at long times the rate of passive scalar decay in a turbulent, or simply chaotic, flow is dominated by regions (in real space or in inverse space) where mixing is less efficient. We examine two situations. The first is…

混沌动力学 · 物理学 2009-11-07 M. Chertkov , V. Lebedev

We study Lagrangian trajectories and scalar transport statistics in decaying Burgers turbulence. We choose velocity fields, solutions of the inviscid Burgers equation, whose probability distributions are specified by Kida's statistics. They…

chao-dyn · 物理学 2009-10-31 Michel Bauer , Denis Bernard

We investigate the dynamics of a single tracer particle performing Brownian motion in a two-dimensional course of randomly distributed hard obstacles. At a certain critical obstacle density, the motion of the tracer becomes anomalous over…

软凝聚态物质 · 物理学 2010-11-19 Teresa Bauer , Felix Höfling , Tobias Munk , Erwin Frey , Thomas Franosch

The advection of a passive scalar by a quenched (frozen) incompressible velocity field is studied by extensive high precision numerical simulation and various approximation schemes. We show that second order self consistent perturbation…

无序系统与神经网络 · 物理学 2009-10-31 D. S. Dean , I. T. Drummond , R. R. Horgan

We present results of direct numerical simulations of passive scalar advection and diffusion in turbulent rotating flows. Scaling laws and the development of anisotropy are studied in spectral space, and in real space using an axisymmetric…

流体动力学 · 物理学 2015-05-27 Paola Rodriguez Imazio , Pablo Mininni

Similarities and differences between Kolmogorov scale-by-scale equilibria/non-equilibria for velocity and scalar fields are investigated in the intermediate layer of a fully developed turbulent channel flow with a passive scalar/temperature…

流体动力学 · 物理学 2026-03-06 Emanuele Gallorini , Shingo Motoki , Genta Kawahara , Christos Vassilicos

Complex network approaches have been successfully applied for studying transport processes in complex systems ranging from road, railway or airline infrastructure over industrial manufacturing to fluid dynamics. Here, we utilize a generic…

流体动力学 · 物理学 2017-04-05 Naoya Fujiwara , Kathrin Kirchen , Jonathan F. Donges , Reik V. Donner

Passive scalar turbulence forced steadily is characterized by the velocity correlation scale, $L$, injection scale, $l$, and diffusive scale, $r_d$. The scales are well separated if the diffusivity is small, $r_d\ll l,L$, and one normally…

混沌动力学 · 物理学 2009-11-13 M. Chertkov , I. Kolokolov , V. Lebedev