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An efficient framework for fluid–structure interaction using the lattice Boltzmann method and immersed moving boundaries
Author(s) -
Owen D. R. J.,
Leonardi C. R.,
Feng Y. T.
Publication year - 2010
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.2985
Subject(s) - lattice boltzmann methods , computer science , boundary value problem , convergence (economics) , lattice (music) , finite element method , dynamic relaxation , mathematical optimization , computational science , mathematics , algorithm , physics , mechanics , mathematical analysis , geometry , acoustics , economics , thermodynamics , economic growth
This paper presents a serial computational framework that hydrodynamically couples the lattice Boltzmann method (LBM) and the discrete element method (DEM) for the solution of particle suspension problems in two and three dimensions. The single‐relaxation‐time Bhatnagar–Gross–Krook (LBGK) form of the lattice Boltzmann equation is employed with an immersed moving boundary method for the fluid–structure interaction. Similar algorithms have been previously reported in the literature, however, this work deliberately utilizes solution options that minimize the computational overheads of the framework to facilitate simulations of multibody structural fields in large fluid domains. In particular, mixed boundary conditions are employed which combine the simple bounce‐back technique with the immersed moving boundary method, and the relatively inexpensive D3Q15 lattice is employed for 3D solutions. The fundamentals of the LBM are briefly discussed followed by a review of the coupling techniques available for FSI using the LBM. Options for mapping solid obstacles to the LBM grid are presented and an algorithm for automatic, dynamic subcycling of the two explicit solution schemes is outlined. The LBM–DEM framework is then validated and benchmarked against previously published LBM results, with comments made where appropriate on the comparative accuracy and convergence characteristics. Finally, a multi‐particle suspension simulation is presented to qualitatively assess the performance of the framework when a large number of dynamic contacts exist. Copyright © 2010 John Wiley & Sons, Ltd.