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Classical scaling relationships for rheological quantities such as the $\mu(J)$-rheology have become increasingly popular for closures of two-phase flow modeling. However, these frameworks have been derived for monodisperse particles. We…

流体动力学 · 物理学 2021-12-22 Christoph Rettinger , Sebastian Eibl , Ulrich Rüde , Bernhard Vowinckel

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

Understanding the dynamics of fluid-driven sediment transport remains challenging, as it is an intermediate region between a granular material and a fluid flow. Boyer \textit{et al.}\citep{Boyer2011} proposed a local rheology unifying dense…

软凝聚态物质 · 物理学 2016-12-28 M. Houssais , C. P. Ortiz , D. J. Durian , D. J. Jerolmack

Shear cell simulations and experiments of weakly wetted particles (a few volume percent liquid binders) are compared, with the goal to understand their flow rheology. Application examples are cores for metal casting by core shooting made of…

软凝聚态物质 · 物理学 2014-09-15 Ruediger Schwarze , Anton Gladkyy , Fabian Uhlig , Stefan Luding

The local granular rheology is investigated numerically in turbulent bedload transport. Considering spherical particles, steady uniform configurations are simulated using a coupled fluid-discrete-element model. The stress tensor is computed…

地球物理 · 物理学 2016-11-08 Raphael Maurin , Julien Chauchat , Philippe Frey

We study the particle-scale dynamics that give rise to bulk flow behaviours of highly concentrated particle-fluid mixtures using discrete element method (DEM) simulations. We utilize boundary conditions of a stress-controlled shear cell and…

软凝聚态物质 · 物理学 2025-09-26 Teng Man , Herbert Huppert , Qingfeng Feng , Kimberly Hill

The rheology of surface granular flows is investigated by means of measurements of velocity and number density profiles in a quasi-two-dimensional rotating cylinder, half-filled with mono-disperse steel balls. The measurements are made at…

软凝聚态物质 · 物理学 2015-06-25 Ashish V. Orpe , D. V. Khakhar

Agitated granular media have a rich rheology: they exhibit Newtonian behavior at low shear rate and density, develop a yield stress at high density, and cross over to Bagnoldian shear thickening when sheared rapidly -- making them…

软凝聚态物质 · 物理学 2025-04-09 Olfa D'Angelo , Matthias Sperl , W. Till Kranz

Pore-resolved direct numerical simulations of turbulent open channel flow are performed comparing the structure and dynamics of turbulence over impermeable rough and smooth walls to a porous sediment bed at permeability Reynolds number…

流体动力学 · 物理学 2022-05-02 Shashank K. Karra , Sourabh V. Apte , Xiaoliang He , Timothy D. Scheibe

Numerical simulations of vesicle suspensions are performed in two dimensions to study their dynamical and rheological properties. An hybrid method is adopted, which combines a mesoscopic approach for the solvent with a curvature-elasticity…

软凝聚态物质 · 物理学 2015-06-18 A. Lamura , G. Gompper

This study examines the flow of dense granular materials under external shear stress and pressure using discrete element method simulations. In this method, the material is allowed to strain along all periodic directions and adapt its solid…

软凝聚态物质 · 物理学 2020-11-24 Ishan Srivastava , Leonardo E. Silbert , Gary S. Grest , Jeremy B. Lechman

The flow of dense suspensions, glasses, and granular materials is heavily influenced by frictional interactions between constituent particles. However, neither hydrodynamics nor friction has successfully explained the full range of flow…

We study the rheology of dry and wet granular materials in the steady quasistatic regime using the Discrete Element Method (DEM) in a split-bottom ring shear cell with focus on the macroscopic friction. The aim of our study is to understand…

软凝聚态物质 · 物理学 2016-09-13 Sudeshna Roy , Stefan Luding , Thomas Weinhart

This paper reports experiments on the shear transient response of concentrated non-Brownian suspensions. The shear viscosity of the suspensions is measured using a wide-gap Couette rheometer equipped with a Particle Image Velocimetry (PIV)…

流体动力学 · 物理学 2015-06-03 Frédéric Blanc , François Peters , Elisabeth Lemaire

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 steady flow of spherical particles in a rectangular bin is studied using the Discrete Element Method (DEM) for different flow rates of the particles from the bin, in the slow flow regime. The flow has two non-zero velocity components…

软凝聚态物质 · 物理学 2020-01-29 Ashish Bhateja , Devang V. Khakhar

We use particle-based simulation to study the rheology of dense suspensions comprising mixtures of small colloids and larger grains, which exhibit shear thinning at low shear rates and shear thickening at high shear rates. By systematically…

软凝聚态物质 · 物理学 2026-01-14 Xuan Li , John R. Royer , Christopher Ness

Granular materials do not flow homogeneously like fluids when submitted to external stress,but often form rigid regions that are separated by narrow shear bands where the material yields and flows. This shear localization impacts their…

Shear flow of dense, non-Brownian suspensions is simulated using the discrete element method, taking particle contact and hydrodynamic lubrication into account. The resulting flow regimes are mapped in the parametric space of solid volume…

软凝聚态物质 · 物理学 2015-01-06 Christopher Ness , Jin Sun

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
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