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Volume 10, Issue 4
A Hybrid Algorithm of Event-Driven and Time-Driven Methods for Simulations of Granular Flows

Jun Huang & Ole Jørgen Nydal

DOI: 10.4208/cicp.160610.211210a

Commun. Comput. Phys., 10 (2011), pp. 1027-1043.

Published online: 2011-10

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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.

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@Article{CiCP-10-1027, author = {Jun Huang and Ole Jørgen Nydal}, title = {A Hybrid Algorithm of Event-Driven and Time-Driven Methods for Simulations of Granular Flows}, journal = {Communications in Computational Physics}, year = {2011}, volume = {10}, number = {4}, pages = {1027--1043}, 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.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.160610.211210a}, url = {http://global-sci.org/intro/article_detail/cicp/7473.html} }
TY - JOUR T1 - A Hybrid Algorithm of Event-Driven and Time-Driven Methods for Simulations of Granular Flows AU - Jun Huang & Ole Jørgen Nydal JO - Communications in Computational Physics VL - 4 SP - 1027 EP - 1043 PY - 2011 DA - 2011/10 SN - 10 DO - http://doi.org/10.4208/cicp.160610.211210a UR - https://global-sci.org/intro/article_detail/cicp/7473.html KW - AB -

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.

Jun Huang and Ole Jørgen Nydal. (2011). A Hybrid Algorithm of Event-Driven and Time-Driven Methods for Simulations of Granular Flows. Communications in Computational Physics. 10 (4). 1027-1043. doi:10.4208/cicp.160610.211210a
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