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相关论文: On dense granular flows

200 篇论文

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

This paper, in French, describes a series of completely different behaviours of the mechanics of granular matter, which are obtained experimentally using periodic forcing at different amplitude, frequency and orientation. It starts with the…

软凝聚态物质 · 物理学 2007-05-23 P. Evesque

Fluidized granular media have a rich rheology: measuring shear stress $\sigma$ as a function of shear rate $\dot\gamma$, they exhibit Newtonian behavior $\sigma\sim\dot\gamma$ for low densities and shear rates, develop a yield stress for…

软凝聚态物质 · 物理学 2023-09-04 Olfa D'Angelo , Abhishek Shetty , Matthias Sperl , W. Till Kranz

In this paper, transient granular flows are examined both numerically and experimentally. Simulations are performed using the continuous 3D granular model introduced in Daviet & Bertails-Descoubes (2016), which represents the granular…

Gravity-driven flows of granular matter are involved in a wide variety of situations, ranging from industrial processes to geophysical phenomena, such as avalanches or landslides. These flows are characterized by the coexistence of solid…

软凝聚态物质 · 物理学 2020-11-18 Pierre Soulard , Denis Dumont , Thomas Salez , Elie Raphael , Pascal Damman

The Discrete Particle Method (DPM) is used to model granular flows down an inclined chute. We observe three major regimes: static piles, steady uniform flows and accelerating flows. For flows over a smooth base, other (quasi-steady) regimes…

软凝聚态物质 · 物理学 2011-08-26 Thomas Weinhart , Anthony Thornton , Stefan Luding , Onno Bokhove

Predicting particle segregation has remained challenging due to the lack of a general model for the segregation velocity that is applicable across a range of granular flow geometries. Here, a segregation velocity model for dense granular…

软凝聚态物质 · 物理学 2025-10-22 Yifei Duan , Lu Jing , Paul B. Umbanhowar , Julio M. Ottino , Richard M. Lueptow

We investigate the rheology of granular materials via molecular dynamics simulations of homogeneous, simple shear flows of soft, frictional, noncohesive spheres. In agreement with previous results for frictionless particles, we observe…

软凝聚态物质 · 物理学 2012-02-14 Sebastian Chialvo , Jin Sun , Sankaran Sundaresan

The shear rheology of dense colloidal and granular suspensions is strongly nonlinear, as these materials exhibit shear-thinning and shear-thickening, depending on multiple physical parameters. We numerically study the rheology of a simple…

软凝聚态物质 · 物理学 2014-07-31 Takeshi Kawasaki , Atsushi Ikeda , Ludovic Berthier

We experimentally investigate how a long granular pile confined in a narrow channel destabilizes when it is inclined above the angle of repose. A uniform flow then develops, which is localized at the free surface. It first accelerates…

软凝聚态物质 · 物理学 2008-02-06 Pierre Jop , Yoël Forterre , Olivier Pouliquen

We report on experiments that consist in deforming a collection of monodisperse droplets produced by a microfluidic chip through a flow-focusing device. We show that a proper numerical modelling of the flow is necessary to access the stress…

软凝聚态物质 · 物理学 2018-05-23 Corentin Trégouët , Thomas Salez , Cécile Monteux , Mathilde Reyssat

Many dense granular systems are non-monodisperse, consisting of particles of different sizes, and will segregate based on size during flow. This phenomenon is an important aspect of many industrial and geophysical processes, necessitating…

软凝聚态物质 · 物理学 2024-05-28 Harkirat Singh , David L. Henann

Dense granular systems that consist of particles of disparate sizes segregate based on size during flow, resulting in complex, coupled segregation and flow patterns. The ability to predict how granular mixtures segregate is important in the…

软凝聚态物质 · 物理学 2024-01-02 Daren Liu , Harkirat Singh , David L. Henann

The two most commonly used methods to model the behaviour of granular flows are discrete element and continuum mechanics simulations. These approaches concentrate on the deterministic description of particle or bulk material motion. Unlike…

软凝聚态物质 · 物理学 2025-01-15 Benjy Marks , Shivakumar Athani , Itai Einav

Granular materials react to shear stresses differently than do ordinary fluids. Rather than deforming uniformly, materials such as dry sand or cohesionless powders develop shear bands: narrow zones containing large relative particle motion…

We present a description of granular dynamics based on the idea of differentiation between fluid and solid components. First, we construct a model of completely fluidized phase. Then we discuss a shear surface motion on the boundary of the…

软凝聚态物质 · 物理学 2007-05-23 Alexei V. Tkachenko , Vachtang Putkaradze

Granular solid hydrodynamics (GSH) is a continuum-mechanical theory for granular media, the range of which is shown in this paper. Simple, frequently analytic solutions are related to classic observations at different shear rates,…

软凝聚态物质 · 物理学 2017-01-25 Yimin Jiang , Mario Liu

The rheological properties for dilute and moderately dense granular binary mixtures of smooth, inelastic hard disks/spheres under uniform shear flow in steady state conditions are reported. The results are based on the Enskog kinetic…

统计力学 · 物理学 2007-05-23 J. M. Montanero , V. Garzo , M. Alam , S. Luding

Despite extensive studies on either smooth granular-fluid flow or the solid-like deformation at the slow limit, the change between these two extremes remains largely unexplored. By systematically investigating the fluctuations of tightly…

软凝聚态物质 · 物理学 2021-03-31 Jih-Chiang , Tsai , Guan-Hao Huang , Cheng-En Tsai

To acquire the ability to numerically study the rheology of particulate two-phase flows that lack scale separation, we present a general method to average or coarse-grain the equations of motion of a mixture of a continuous fluid of…

流体动力学 · 物理学 2026-01-22 Thomas Pähtz , Yulan Chen , Rui Zhu , Katharina Tholen , Zhiguo He