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相关论文: Multifractal clustering of passive tracers on a su…

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We study the transport of a passive tracer particle in a steady strongly mixing flow with a nonzero mean velocity. We show that there exists a probability measure under which the particle Lagrangian velocity process is stationary. This…

概率论 · 数学 2007-05-23 Tomasz Komorowski , Grzegorz Krupa

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 show that the probability densities af accelerations of Lagrangian test particles in turbulent flows as measured by Bodenschatz et al. [Nature 409, 1017 (2001)] are in excellent agreement with the predictions of a stochastic model…

统计力学 · 物理学 2009-11-07 Christian Beck

Inertial range scaling exponents for both Lagrangian and Eulerian structure functions are obtained from direct numerical simulations of isotropic turbulence in triply periodic domains at Taylor-scale Reynolds number up to 1300. We reaffirm…

流体动力学 · 物理学 2024-03-05 Dhawal Buaria , Katepalli R. Sreenivasan

We investigate steady granular surface flows in a rotating drum and demonstrate the existence of rigid clusters of grains embedded in the flowing layer. These clusters are fractal and their size is power-law distributed from the grain size…

凝聚态物理 · 物理学 2016-02-26 D. Bonamy , F. Daviaud , L. Laurent , M. Bonetti , J. P. Bouchaud

The scaling behavior of the closed trajectories of a moving particle generated by randomly placed rotators or mirrors on a square or triangular lattice is studied numerically. For most concentrations of the scatterers the trajectories close…

凝聚态物理 · 物理学 2007-05-23 Meng-she Cao , E. G. D. Cohen

We develop a stochastic model for the velocity gradients dynamics along a Lagrangian trajectory. Comparing with different attempts proposed in the literature, the present model, at the cost of introducing a free parameter known in…

流体动力学 · 物理学 2018-02-23 Rodrigo M. Pereira , Luca Moriconi , Laurent Chevillard

The dispersion of a passive scalar by wall turbulence, in the limit of infinite Peclet number, is analyzed using frozen velocity fields from the DNS by our group. The Lagrangian trajectories of fluid particles in those fields are integrated…

流体动力学 · 物理学 2013-09-11 Juan C. del Alamo , Javier Jimenez

Lagrangian pair dispersion provides insights into mixing in turbulent flows. By direct numerical simulations (DNS) we show that the statistics of pair dispersion in the randomly forced two-dimensional Burgers equation, which is a typical…

流体动力学 · 物理学 2023-11-14 Sadhitro De , Dhrubaditya Mitra , Rahul Pandit

We study the clustering properties of particles sliding downwards on a fluctuating surface evolving through the Kardar-Parisi-Zhang equation, a problem equivalent to passive scalars driven by a Burgers fluid. Monte Carlo simulations on a…

统计力学 · 物理学 2009-11-11 Apoorva Nagar , Mustansir Barma , Satya N. Majumdar

We demonstrate that measurements of number fluctuations within finite cells provide a direct means to study fluctuation scaling in a trapped two-component condensate. This quantum system supports a second-order phase transition between…

量子气体 · 物理学 2015-05-19 R. N. Bisset , R. M. Wilson , C. Ticknor

The critical behaviour of correlation functions near a boundary is modified from that in the bulk. When the boundary is smooth this is known to be characterised by the surface scaling dimension $\xt$. We consider the case when the boundary…

统计力学 · 物理学 2009-10-31 John Cardy

A model for diffusion in liquids that couples the dynamics of tracer particles to a fluctuating Stokes equation for the fluid is investigated in the limit of large Schmidt number. In this limit, the concentration of tracers is shown to…

统计力学 · 物理学 2014-04-03 A. Donev , T. G. Fai , and E. Vanden-Eijnden

Tracer diffusion and hydrodynamic dispersion in two-dimensional fractures with self-affine roughness is studied by analytic and numerical methods. Numerical simulations were performed via the lattice-Boltzmann approach, using a new boundary…

统计力学 · 物理学 2016-08-31 German Drazer , Joel Koplik

Spatial distributions of heavy particles suspended in an incompressible isotropic and homogeneous turbulent flow are investigated by means of high resolution direct numerical simulations. In the dissipative range, it is shown that particles…

混沌动力学 · 物理学 2007-05-23 J. Bec , L. Biferale , M. Cencini , A. Lanotte , S. Musacchio , F. Toschi

Lagrangian acceleration has been investigated both experimentally and numerically in the past, and it has been shown to exhibit extreme fluctuations, which have been rationalized as events in which tracer particles get trapped into vortical…

流体动力学 · 物理学 2025-07-24 Lorenzo Piro , Massimo Cencini , Roberto Benzi

The paper studies the behavior of the trajectories of fluid particles in a compressible generalization of the Kraichnan ensemble of turbulent velocities. We show that, depending on the degree of compressibility, the trajectories either…

凝聚态物理 · 物理学 2007-05-23 Krzysztof Gawedzki , Massimo Vergassola

A growing body of work on the dynamics of eukaryotic flagella has noted that their oscillation frequencies are sufficiently high that the viscous penetration depth of unsteady Stokes flow is comparable to the scales over which flagella…

A key feature of turbulent suspensions that involve floating particles on the surface or inertial particles in the bulk is the compressibility of the effective particle-phase velocity field. Little, however, is known about the effects of…

流体动力学 · 物理学 2025-12-10 Dipankar Roy , Marco Martins Afonso , Jason R. Picardo , Dario Vincenzi

We investigate the statistics of orientation of small, neutrally buoyant, spherical tracers whose center of mass is displaced from the geometrical center. If appropriate-sized particles are considered, a linear relation can be derived…

流体动力学 · 物理学 2013-05-14 Guido Boffetta , Massimo Cencini , Filippo De Lillo , Francesco Santamaria