Distributed Particle Simulation Of Flow In Complex Geometries
Price
Free (open access)
Volume
23
Pages
10
Published
2000
Size
1,051 kb
Paper DOI
10.2495/HPC000341
Copyright
WIT Press
Author(s)
A.G. Hoekstra and P.M.A. Sloot
Abstract
Distributed particle simulation of flow in complex geometries A.G. Hoekstra & P.M.A. Sloot Section Computational Science, University of Amsterdam, The Netherlands Abstract Lattice Gas Automata (LGA) and the Lattice Boltzmann method (LBM) are specific Cellular Automata (CA) that can be considered as simplified discrete particle models capable of modeling fluid flow. LGA and LBM inherit the intrinsic parallelism of CA. We discuss our distributed particle simulation of flow, based on a parallel LBM. Efficient parallel execution is possible, provided that (dynamic) load balancing techniques are applied. Next, we present a number of case studies of flow in complex geometries, i.e. flow in porous media and in static mixer reactors. 1 Introduction Cellular Automata (CA) are discrete, decentralized, and spatially extended systems consisting of large numbers of simple identical components with local connectivity. The rational of cellular automata is not to try to describe
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