Computer Simulation of Particle Segregation Process Using 3D Discrete Element Method

2009 ◽  
Author(s):  
Lala Zhao ◽  
Chusheng Liu ◽  
Yang Zhang ◽  
Junxia Yan
Keyword(s):  
Computer Simulation ◽  
Discrete Element Method ◽  
Discrete Element ◽  
Particle Segregation ◽  
Segregation Process ◽  
Element Method

Interactive Force of Two-Dimensional Compressive Deformation by Discrete Element Method (DEM)

2014 ◽  
Vol 353 ◽  
pp. 106-110 ◽  
Author(s):  
Sarunya Promkotra ◽  
Tawiwan Kangsadan
Keyword(s):  
Computer Simulation ◽  
Discrete Element Method ◽  
Van Der Waals ◽  
Discrete Element ◽  
Interaction Force ◽  
Liquid Interface ◽  
Two Dimensional ◽  
Colloidal Aggregates ◽  
Air Liquid Interface ◽  
Element Method

Discrete Element Method (DEM) computer simulation is used to examine the influence of contact force between two-dimensional aggregates of polystyrene microsphere formed on the air-liquid interface. Colloidal aggregates have been treated as the granular material or discontinuum materials. The interaction force models are related to experiment which had done by digital video microscopy. The interaction mechanisms of the contact forces between particles in the colloidal system can be considered as a combination of spring and dashpot force and van der Waals force. According to the DEM, the interaction forces are evaluated to introduce relations between particles and the result comparison between the computer simulation and the experimental work. This study indicates that the behavior of the colloidal aggregates depends on the long-ranged (spring and dashpot) and the short-ranged interaction force (van der Waals). Besides, the behaviors shown in both computer simulation and the experiment are in good agreement. Thus, this computer simulation method can mimic the behavior of colloidal aggregates forming as a monolayer at the air-liquid interface.

scholarly journals Numerical simulation on segregation process of particles using 3D discrete element method

2010 ◽  
Vol 59 (3) ◽  
pp. 1870
Author(s):  
Zhao La-La ◽  
Liu Chu-Sheng ◽  
Yan Jun-Xia ◽  
Xu Zhi-Peng
Keyword(s):  
Numerical Simulation ◽  
Discrete Element Method ◽  
Discrete Element ◽  
Segregation Process ◽  
Element Method

scholarly journals Computer simulation of flat geogrids based on Discrete Element Method (DEM)

2019 ◽  
Vol 265 ◽  
pp. 01002
Author(s):  
Andrei Moshenzhal
Keyword(s):  
Computer Simulation ◽  
Discrete Element Method ◽  
Discrete Element ◽  
Material Structure ◽  
Dem Simulation ◽  
Simulation Results ◽  
Element Method ◽  
The Way

The article presents the way of modelling flat geogrids using the Discrete Element Method (DEM). Simulation of geogrids is performed on the base of EDEM® software produced by DEM Solutions Ltd. The Hertz-Mindlin model with bonds is used as a model of particles interaction. The presented method of geogrid simulation using EDEM® software has some peculiarities in the formation of material structure. We compared two types of geogrids with the same characteristics formed out of a variety of balls with different radii. This article provides the simulation results of geogrid testing by calculating the force causing 2% and 5% tension (elongation) of the material.

A Numerical Method to Predict Packing Density of Aggregates in Concrete

2011 ◽  
Vol 337 ◽  
pp. 313-316 ◽  
Author(s):  
Mohammad Reisi ◽  
Davood Mostofi Nejad
Keyword(s):  
Computer Simulation ◽  
Discrete Element Method ◽  
Numerical Method ◽  
Efficient Method ◽  
Packing Density ◽  
Experimental Tests ◽  
Discrete Element ◽  
Element Method

It is nowadays very clear that the single most important parameter influencing the performance of concrete is the packing density of the aggregates. Among aggregate characteristics, grading of aggregates has the most significant effect on packing density (PD) of aggregates. In the current sstudy, packing density of five aggregates were measured by experimental tests and computer simulation base on discrete element method (DEM). Obtained results show that the performed computer simulation is very efficient method to predict packing density and optimization grading of aggregates.

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