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Rheological properties of dense flows of hard particles are singular as one approaches the jamming threshold where flow ceases, both for aerial granular flows dominated by inertia, and for over-damped suspensions. Concomitantly, the…

软凝聚态物质 · 物理学 2015-06-17 E. DeGiuli , G. Düring , E. Lerner , M. Wyart

We consider Brownian particles immersed in the fluid which flow is turbulent. We study the limit where the particles' inertia is weak and their velocity relaxes fast to the velocity of the flow. The trajectories of the particles in this…

混沌动力学 · 物理学 2011-10-25 Itzhak Fouxon , Eugene Mednikov

This work considers the distribution of inertial particles in turbulence using the point-particle approximation. We demonstrate that the random point process formed by the positions of particles in space is a Poisson point process with…

流体动力学 · 物理学 2017-07-26 Lukas Schmidt , Itzhak Fouxon , Markus Holzner

We derive a perturbative approach to study, in the large inertia limit, the dynamics of solid particles in a smooth, incompressible and finite-time correlated random velocity field. We carry on an expansion in powers of the inverse square…

统计力学 · 物理学 2009-11-13 Piero Olla , Maria Raffaella Vuolo

We draw an analogy between droplet formation in dilute particle and polymer systems. Our arguments are based on finite-size scaling results from studies of a two-dimensional lattice gas to three-dimensional bead-spring polymers. To set the…

统计力学 · 物理学 2018-03-14 Wolfhard Janke , Johannes Zierenberg

We present experimental observations of the velocity and spatial distribution of inertial particles dispersed in the turbulent downward flow through a vertical channel at $Re_{\tau} = 235$ and $335$. The working fluid is air laden with…

流体动力学 · 物理学 2019-04-16 Kee Onn Fong , Omid Amili , Filippo Coletti

Recent numerical results on advection dynamics have shown that particles denser than the fluid can remain trapped indefinitely in a bounded region of an open fluid flow. Here, we investigate this counterintuitive phenomenon both numerically…

流体动力学 · 物理学 2014-04-01 Jean-Regis Angilella , Rafael D. Vilela , Adilson E. Motter

Heavy particles in turbulent flows have been shown to accumulate in regions of high strain rate or low vorticity, a process otherwise known as preferential concentration. This can be observed in geophysical flows, and is inferred to occur…

流体动力学 · 物理学 2020-11-25 Sara Nasab , Pascale Garaud

The Navier-Stokes equations generate an infinite set of generalized Lyapunov exponents defined by different ways of measuring the distance between exponentially diverging perturbed and unperturbed solutions. This set is demonstrated to be…

流体动力学 · 物理学 2021-04-14 Itzhak Fouxon , Joshua Feinberg , Petri Käpylä , Michael Mond

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

We introduce a map which reproduces qualitatively many fundamental properties of the dynamics of heavy particles in fluid flows. These include a uniform rate of decrease of volume in phase space, a slow-manifold effective dynamics when the…

流体动力学 · 物理学 2017-09-26 Rafael Dias Vilela , Vitor M. de Oliveira

We compute the fractal dimension of clusters of inertial particles in mixing flows at finite values of Kubo (Ku) and Stokes (St) numbers, by a new series expansion in Ku. At small St, the theory includes clustering by Maxey's non-ergodic…

流体动力学 · 物理学 2019-02-12 K. Gustavsson , B. Mehlig

Gas-solid multiphase flows are prone to develop an instability known as clustering. Two-fluid models, which treat the particulate phase as a continuum, are known to reproduce the qualitative features of this instability, producing…

混沌动力学 · 物理学 2017-03-23 William D. Fullmer , Christine M. Hrenya

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

A mechanism of formation of small-scale inhomogeneities in spatial distributions of aerosols and droplets associated with clustering instability in the atmospheric turbulent flow is discussed. The particle clustering is a consequence of a…

大气与海洋物理 · 物理学 2012-07-26 T. Elperin , N. Kleeorin , M. A. Liberman , V. L'vov , I. Rogachevskii

We perform direct numerical simulation of the incompressible Navier-Stokes equation with forcing at different spatial dimensions and measure turbulent and chaotic properties. Lyapunov exponents, $\lambda$, decrease with dimension, and…

流体动力学 · 物理学 2025-12-02 Richard D. J. G. Ho , Daniel Clark , Andres Armua , Xichao Yang , Daniel J. Brener , Arjun Berera

Spatial clustering of identical particles falling through a turbulent flow enhances the collision rate between the falling particles, an important problem in aerosol science. We analyse this problem using perturbation theory in a…

流体动力学 · 物理学 2015-06-18 K. Gustavsson , S. Vajedi , B. Mehlig

The dynamics of inertial particles in fluid flows have been the focus of extensive research due to their relevance in a wide range of industrial and environmental processes. Earlier studies have examined the dynamics of aerosols and bubbles…

流体动力学 · 物理学 2024-09-05 P. Swaathi , Sanjit Das , N. Nirmal Thyagu

We study the sedimentation of finite-size inertial particles in a Rayleigh-Taylor-like setup using state-of-the-art direct numerical simulations. The falling particles are observed to produce two distinct regions: a leading mixing layer…

流体动力学 · 物理学 2026-01-28 Simone Tandurella , Marco Edoardo Rosti , Stefano Musacchio , Guido Boffetta

We study the Vlasov-Stokes equations which macroscopically model the sedimentation of a cloud of particles in a fluid, where particle inertia are taken into account but fluid inertia are assumed to be negligible. We consider the limit when…

偏微分方程分析 · 数学 2018-01-09 Richard M. Höfer