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Lagrangian statistics of passive tracers in rotating turbulence is investigated by Particle Tracking Velocimetry. A confined and steadily-forced turbulent flow is subjected to five different rotation rates. The PDFs of the velocity…

流体动力学 · 物理学 2013-07-24 Lorenzo Del Castello , Herman J. H. Clercx

We report on simulations of two-dimensional turbulence in the inverse energy cascade regime. Focusing on the statistics of Lagrangian tracer particles, scaling behavior of the probability density functions of velocity fluctuations is…

流体动力学 · 物理学 2009-11-13 Oliver Kamps , Rudolf Friedrich

The statistical properties of fluid particles transported by a fully developed turbulent flow are investigated by means of high resolution direct numerical simulations. Single trajectory statistics is investigated in a time range spanning…

混沌动力学 · 物理学 2007-05-23 L. Biferale , G. Boffetta , A. Celani , A. Lanotte , F. Toschi

The Lagrangian statistics of heavy particles and of fluid tracers transported by a fully developed turbulent flow are investigated by means of high resolution direct numerical simulations. The Lagrangian velocity structure functions are…

混沌动力学 · 物理学 2007-05-23 Jeremie Bec , Luca Biferale , Massimo Cencini , Alessandra S. Lanotte , Federico Toschi

We present a numerical investigation of two-dimensional decaying turbulence in the Lagrangian framework. Focusing on single particle statistics, we investigate Lagrangian trajectories in a freely evolving turbulent velocity field. The…

流体动力学 · 物理学 2009-11-13 Michael Wilczek , Oliver Kamps , Rudolf Friedrich

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

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

Particles in turbulence frequently encounter extreme accelerations between extended periods of quiescence. The occurrence of extreme events is closely related to the intermittent spatial distribution of intense flow structures such as…

流体动力学 · 物理学 2019-08-29 Lukas Bentkamp , Cristian C. Lalescu , Michael Wilczek

The distribution of particle accelerations in turbulence is intermittent, with non-Gaussian tails that are quite different for light and heavy particles. In this article we analyse a closure scheme for the acceleration fluctuations of light…

流体动力学 · 物理学 2016-07-08 S. Vajedi , K. Gustavsson , B. Mehlig , L. Biferale

This paper is focused on the coherent effects that appear in tracer statistics in two-dimensional incompressible turbulence in the presence of an average velocity. We show that this determines strong modifications of the transport and…

流体动力学 · 物理学 2023-06-14 Madalina Vlad , Dragos Iustin Palade , Florin Spineanu

We present high-resolution direct numerical simulations of turbulent three-dimensional Rayleigh-Benard convection with a focus on the Lagrangian properties of the flow. The volume is a Cartesian slab with an aspect ratio of four bounded by…

流体动力学 · 物理学 2009-05-05 Joerg Schumacher

We report experimental results on the three dimensional Lagrangian acceleration in highly turbulent flows. Tracer particles are tracked optically using four silicon strip detectors from high energy physics that provide high temporal and…

流体动力学 · 物理学 2009-11-10 Nicolas Mordant , Alice M. Crawford , Eberhard Bodenschatz

The statistical properties of velocity and acceleration fields along the trajectories of fluid particles transported by a fully developed turbulent flow are investigated by means of high resolution direct numerical simulations. We present…

混沌动力学 · 物理学 2007-05-23 L. Biferale , G. Boffetta , A. Celani , B. J. Devenish , A. Lanotte , F. Toschi

We have developed a new experimental technique to measure the Lagrangian velocity of tracer particles in a turbulent flow, based on ultrasonic Doppler tracking. This method yields a direct access to the velocity of a single particule at a…

流体动力学 · 物理学 2009-11-07 N. Mordant , P. Metz , O. Michel , J. -F. Pinton

Modeling statistical properties of motion of a Lagrangian particle advected by a high-Reynolds-number flow is of much practical interest and complement traditional studies of turbulence made in Eulerian framework. The strong and nonlocal…

统计力学 · 物理学 2007-05-23 A. K. Aringazin , M. I. Mazhitov

The scaling of acceleration statistics in turbulence is examined by combining data from the literature with new data from well-resolved direct numerical simulations of isotropic turbulence, significantly extending the Reynolds number range.…

流体动力学 · 物理学 2022-06-13 Dhawal Buaria , Katepalli R. Sreenivasan

We report results on the geometrical statistics of the vorticity vector obtained from experiments in electromagnetically forced rotating turbulence. A range of rotation rates $\Omega$ is considered, from non-rotating to rapidly rotating…

流体动力学 · 物理学 2013-12-19 Lorenzo Del Castello , Herman J. H. Clercx

Lagrangian acceleration statistics in a fully developed turbulent channel flow at $Re_\tau = 1440$ are investigated, based on tracer particle tracking in experiments and direct numerical simulations. The evolution with wall distance of the…

We consider the dynamics of small tracer particles in turbulent quantum liquids. The complicated interaction processes of vortex filaments, the quantum constraints on vorticity and the varying influence of both the superfluid and the normal…

统计力学 · 物理学 2013-03-27 Christian Beck , Shihan Miah

We show by direct numerical simulation (DNS) that the Lagrangian cross correlation of velocity gradients in homogeneous isotropic turbulence increases at short times, whereas its auto-correlation decreases. Kinematic considerations allow to…

流体动力学 · 物理学 2016-01-20 Le Fang , W. J. T. Bos , G. D. Jin
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