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A Hybrid Algorithm of Event-Driven and Time-Driven Methods for Simulations of Granular Flows

Published online by Cambridge University Press:  20 August 2015

Jun Huang  and
Ole Jørgen Nydal
Jun Huang*
Affiliation:
Department of Energy and Process Engineering, Norwegian University of Science and Technology, Trondheim, Norway
Ole Jørgen Nydal*
Affiliation:
Department of Energy and Process Engineering, Norwegian University of Science and Technology, Trondheim, Norway
*
Corresponding author.Email:[email protected]
Email:[email protected]
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Abstract

The classical discrete element approach (DEM) based on Newtonian dynamics can be divided into two major groups, event-driven methods (EDM) and time-driven methods (TDM). Generally speaking, TDM simulations are suited for cases with high volume fractions where there are collisions between multiple objects. EDM simulations are suited for cases with low volume fractions from the viewpoint of CPU time. A method combining EDM and TDM called Hybrid Algorithm of event-driven and time-driven methods (HAET) is presented in this paper. The HAET method employs TDM for the areas with high volume fractions and EDM for the remaining areas with low volume fractions. It can decrease the CPU time for simulating granular flows with strongly non-uniform volume fractions. In addition, a modified EDM algorithm using a constant time as the lower time step limit is presented. Finally, an example is presented to demonstrate the hybrid algorithm.

Keywords

70F0565K0574S3070F10Time-driven method (TDM)event-driven method (EDM)Hybrid algorithm of event-driven and time-driven methods (HAET)granular flow
Type
Research Article
Information
Communications in Computational Physics , Volume 10 , Issue 4 , October 2011 , pp. 1027 - 1043
Copyright
Copyright © Global Science Press Limited 2011

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