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Dense suspensions of particles dispersed in liquids are central to industrial and geophysical processes and serve as model systems for out-of-equilibrium soft matter. At high particle concentrations, they exhibit stress-dependent rheology,…

软凝聚态物质 · 物理学 2026-03-16 Orhun Ayar , Bhargav Sriram Siddani , Ishan Srivastava , Abhinendra Singh

Tailoring microscopic details to tune bulk rheology is a key paradigm in soft matter physics, yet the vast parameter space associated with constituent interactions precludes a fully systematic approach. To address this, we have designed a…

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

Dense suspensions of solid particles in viscous liquid are ubiquitous in both industry and nature, and there is a clear need for efficient numerical routines to simulate their rheology and microstructure. Particles of micron size present a…

软凝聚态物质 · 物理学 2023-07-27 Xuan Li , John R. Royer , Christopher Ness

We describe a computational framework for simulating suspensions of rigid particles in Newtonian Stokes flow. One central building block is a collision-resolution algorithm that overcomes the numerical constraints arising from particle…

计算工程、金融与科学 · 计算机科学 2020-06-24 Wen Yan , Eduardo Corona , Dhairya Malhotra , Shravan Veerapaneni , Michael Shelley

Our ability to numerically model and understand the complex flow behavior of solid-bearing suspensions has increased significantly over the last couple of years, partly due to direct numerical simulations that compute flow around individual…

计算物理 · 物理学 2019-03-21 Zhipeng Qin , Kali Alison , Jenny Suckale

Colloidal dispersions are commonly encountered in everyday life and represent an important class of complex fluid. Of particular significance for many commercial products and industrial processes is the ability to control and manipulate the…

软凝聚态物质 · 物理学 2010-08-30 J. M. Brader

In this paper, we propose a novel approximation strategy for time-dependent hyperbolic systems of conservation laws for the Euler system of gas dynamics that aims to represent the dynamics of strong interacting discontinuities. The goal of…

数值分析 · 数学 2023-01-16 Paola Bacigaluppi , Rémi Abgrall , Svetlana Tokareva

The rheology of cohesive granular materials, under a constant pressure condition, is studied using molecular dynamics simulations. Depending on the shear rate, pressure, and interparticle cohesiveness, the system exhibits four distinctive…

软凝聚态物质 · 物理学 2018-09-26 Yuta Yamaguchi , Satoshi Takada , Takahiro Hatano

Employing the discrete element method, we study the rheology of dense granular media mixtures, varying in size, density, and frictional properties of particles, across a spectrum from quasi-static to inertial regimes. By accounting for the…

软凝聚态物质 · 物理学 2023-08-14 Eric C. P Breard , Luke Fullard , Josef Dufek

We present an efficient, accurate, and robust method for simulation of dense suspensions of deformable and rigid particles immersed in Stokesian fluid in two dimensions. We use a well-established boundary integral formulation for the…

数值分析 · 数学 2017-08-23 Libin Lu , Abtin Rahimian , Denis Zorin

Dense suspensions are widespread in nature, manufacturing and process engineering. Particle-based simulations have proven to be an invaluable complement to experimental rheological characterisation, serving as a virtual rheometer that…

软凝聚态物质 · 物理学 2022-12-20 Christopher Ness

A new and very general technique for simulating solid-fluid suspensions is described; its most important feature is that the computational cost scales linearly with the number of particles. The method combines Newtonian dynamics of the…

comp-gas · 物理学 2009-10-22 Anthony J. C. Ladd

The accuracy of coarse-grained continuum models of dense granular flows is limited by the lack of high-fidelity closure models for granular rheology. One approach to addressing this issue, referred to as the hierarchical multiscale method,…

软凝聚态物质 · 物理学 2025-09-30 B. Siddani , Weiqun Zhang , Andrew Nonaka , John Bell , Ishan Srivastava

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

The rheology of dense suspensions lacks a universal description due to the involvement of a wide variety of parameters, ranging from the physical properties of solid particles to the nature of the external deformation or applied stress.…

软凝聚态物质 · 物理学 2024-10-22 Bhanu Prasad Bhowmik , Christopher Ness

A numerical procedure was developed for solving equations for compressible granular multiphase flows in which the particle volume fraction can range dynamically from very dilute to very dense. The procedure uses a low-dissipation and…

计算物理 · 物理学 2014-10-20 Ryan W. Houim , Elaine S. Oran

Accurate prediction of the hydrodynamic forces on particles is central to the fidelity of Euler-Lagrange (EL) simulations of particle-laden flows. Traditional EL methods typically rely on determining the hydrodynamic forces at the positions…

流体动力学 · 物理学 2025-09-08 Berend van Wachem , Hani Elmestikawy , Akshay Chandran , Max Hausmann

We present a parallel-scalable method for simulating non-dilute suspensions of deformable particles immersed in Stokesian fluid in three dimensions. A critical component in these simulations is robust and accurate collision handling. This…

数值分析 · 数学 2018-12-13 Libin Lu , Abtin Rahimian , Denis Zorin

We study the rheology and distribution of interparticle contact lifetimes for gravity-driven, dense granular flows of non-cohesive particles down an inclined plane using large-scale, three dimensional, granular dynamics simulations. Rather…

软凝聚态物质 · 物理学 2009-11-13 Leonardo E. Silbert , Gary S. Grest , Robert Brewster , Alex J. Levine
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