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相关论文: Dynamics and statistics of heavy particles in turb…

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We investigate the behavior of microscopic heavy particles settling in homogeneous air turbulence. The regimes are relevant to the airborne transport of dust and droplets: the Taylor-microscale Reynolds number is Re = 289 - 462, the…

流体动力学 · 物理学 2021-05-12 Tim Berk , Filippo Coletti

We investigate the transport of inertial particles by cellular flows when advection dominates over inertia and diffusion, that is, for Stokes and P\'eclet numbers satisfying $\mathrm{St} \ll 1$ and $\mathrm{Pe} \gg 1$. Starting from the…

流体动力学 · 物理学 2020-05-26 Antoine Renaud , Jacques Vanneste

We investigate the distribution of relative velocities between small heavy particles of different sizes in turbulence by analysing a statistical model for bidisperse turbulent suspensions, containing particles with two different Stokes…

流体动力学 · 物理学 2017-12-20 J. Meibohm , L. Pistone , K. Gustavsson , B. Mehlig

Chaotic and turbulent dispersion of passive heavy inertial particles in homogeneous two-dimensional turbulence with Ekman drag has been studied using notions of the effective diffusivity and distributed chaos. Results of recent direct…

流体动力学 · 物理学 2019-05-30 A. Bershadskii

The inertia of particles driven by the turbulent flow of the surrounding fluid makes them prefer certain regions of the flow. The heavy particles lag behind the flow and tend to accumulate in the regions with less vorticity, while the light…

混沌动力学 · 物理学 2015-05-30 Itzhak Fouxon

Understanding the dynamics of material objects advected by turbulent flows is a long standing question in fluid dynamics. In this perspective article we focus on the characterization of the statistical properties of non-interacting…

流体动力学 · 物理学 2024-03-18 Yaning Fan , Cheng Wang , Linfeng Jiang , Chao Sun , Enrico Calzavarini

Direct numerical simulations are used to investigate the individual dynamics of large spherical particles suspended in a developed homogeneous turbulent flow. A definition of the direction of the particle motion relative to the surrounding…

流体动力学 · 物理学 2015-06-16 Mamadou Cisse , Holger Homann , Jeremie Bec

Dense particle suspensions are widely encountered in many applications and in environmental flows. While many previous studies investigate their rheological properties in laminar flows, little is known on the behaviour of these suspensions…

流体动力学 · 物理学 2015-10-15 F. Picano , W. -P. Breugem , L. Brandt

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

On their roller coaster ride through turbulence, tracer particles sample the fluctuations of the underlying fields in space and time. Quantitatively relating particle and field statistics remains a fundamental challenge in a large variety…

流体动力学 · 物理学 2018-01-10 Cristian C. Lalescu , Michael Wilczek

In the present study, we perform direct numerical simulations of compressible turbulent boundary layers at the free stream Mach number of 2 ~ 6 laden with dilute phase of spherical particles to investigate the Mach number effects on…

流体动力学 · 物理学 2024-11-20 Ming Yu , Lihao Zhao , Xianxu Yuan , Chunxiao Xu

The problem of an accurate Eulerian-Lagrangian modeling of inertial particle dispersion in Large Eddy Simulation (LES) of turbulent wall-bounded flows is addressed. We run Direct Numerical Simulation (DNS) for turbulent channel flow at…

流体动力学 · 物理学 2009-11-13 C. Marchioli , M. V. Salvetti , A. Soldati

Non-spherical particles transported by turbulent flow have a rich dynamics that combines their translational and rotational motions. Here, the focus is on small, heavy, inertial particles with a spheroidal shape fully prescribed by their…

流体动力学 · 物理学 2023-08-02 Sofia Allende , Jeremie Bec

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

Direct numerical simulation is used to investigate effects of turbulent flow in the confined geometry of a face-centered cubic porous unit cell on the transport, clustering, and deposition of fine particles at different Stokes numbers ($St…

流体动力学 · 物理学 2022-12-09 Sourabh V. Apte , Thibault Oujia , Keigo Matsuda , Benjamin Kadoch , Xiaoliang He , Kai Schneider

A simple analytical model for a turbulent flow is proposed, which considers the flow as a collection of localized spatial structures that are composed of elementary "cells" in which the state of the particles (atoms or molecules) is…

流体动力学 · 物理学 2013-04-09 Sergei F. Chekmarev

A simple theory, based on observations of snowflake distribution in a turbulent flow, is proposed to model the growth of inertial particles as a result of dynamic clustering at scales larger than the Kolmogorov length scale. Particles able…

流体动力学 · 物理学 2015-10-16 Michele Guala , Jiarong Hong

The transitional regime of plane channel flow is investigated {above} the transitional point below which turbulence is not sustained, using direct numerical simulation in large domains. Statistics of laminar-turbulent spatio-temporal…

流体动力学 · 物理学 2020-09-16 Pavan V. Kashyap , Yohann Duguet , Olivier Dauchot

We study the turbulent square duct flow of dense suspensions of neutrally-buoyant spherical particles. Direct numerical simulations (DNS) are performed in the range of volume fractions $\phi=0-0.2$, using the immersed boundary method (IBM)…

流体动力学 · 物理学 2018-08-15 Walter Fornari , Hamid Tabaei Kazerooni , Jeanette Hussong , Luca Brandt

Using Direct Numerical Simulations (DNS), we examine the effects of Taylor Reynolds number, $R_\lambda$, and Froude number, $Fr$, on the motion of settling, bidisperse inertial particles in isotropic turbulence. Particle accelerations play…

流体动力学 · 物理学 2019-05-15 Mohammadreza Momenifar , Rohit Dhariwal , Andrew D. Bragg