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A novel algorithm of immersed moving boundary scheme for fluid–particle interactions in DEM–LBM

Min Wang, Y.T. Feng, D.R.J. Owen, T.M. Qu, Yuntian Feng Orcid Logo, Roger Owen Orcid Logo

Computer Methods in Applied Mechanics and Engineering, Volume: 346, Pages: 109 - 125

Swansea University Authors: Yuntian Feng Orcid Logo, Roger Owen Orcid Logo

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DOI (Published version): 10.1016/j.cma.2018.12.001

Abstract

This paper presents an efficient and accurate Immersed Moving Boundary (IMB) algorithm for solving fluid-particle interactions in the framework of the Lattice Boltzmann Method (LBM). Although the IMB scheme has been widely employed in many fluid-particle coupling problems in a wide range of applicat...

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Published in: Computer Methods in Applied Mechanics and Engineering
ISSN: 0045-7825
Published: 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa46181
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Abstract: This paper presents an efficient and accurate Immersed Moving Boundary (IMB) algorithm for solving fluid-particle interactions in the framework of the Lattice Boltzmann Method (LBM). Although the IMB scheme has been widely employed in many fluid-particle coupling problems in a wide range of applications, the algorithm of its implementation, especially in identifying both fluid and solid boundary nodes for particles, is seldom reported. Besides, the computational cost of handling fluid-particle coupling is very expensive. To provide a bridge between theory and application and improve the computing efficiency of IMB, a novel boundary tracing procedure and an efficient method for computing the solid nodal ratio using Gaussian quadrature are proposed in this paper. Both accuracy and efficiency of the proposed algorithm are examined by two benchmark tests. It is also found that the IMB scheme are more efficient and stable compared to another widely used the Immersed Boundary Method (IBM) in LBM.
Keywords: Fluid-solid interaction, Lattice Boltzmann method, Discrete element method, Immersed moving boundary, Immersed boundary method, Boundary tracing
Start Page: 109
End Page: 125

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