PIBM: Particulate immersed boundary method for fluid-particle interaction problems
Hao Zhang, F. Xavier Trias, Assensi Oliva, Dongmin Yang, Yuanqiang, Tan, Shi Shu, Yong Sheng

TL;DR
This paper introduces the Particle Immersed Boundary Method (PIBM), a novel coupling scheme that significantly accelerates fluid-particle interaction simulations by treating each Lagrangian point as a solid particle, enabling efficient large-scale multiphase flow modeling.
Contribution
The paper presents PIBM, a new immersed boundary method that improves computational efficiency by treating Lagrangian points as solid particles, allowing faster simulations of fluid-particle interactions.
Findings
PIBM achieves dozens of times speedup in 2D simulations.
PIBM achieves hundreds of times speedup in 3D simulations.
Numerical tests confirm PIBM's ability to accurately model particulate flows.
Abstract
It is well known that the number of particles should be scaled up to enable industrial scale simulation. The calculations are more computationally intensive when the motion of the surrounding fluid is considered. Besides the advances in computer hardware and numerical algorithms, the coupling scheme also plays an important role on the computational efficiency. In this study, a particle immersed boundary method (PIBM) for simulating the fluid-particle multiphase flow was presented and assessed in both two- and three-dimensional applications. The idea behind PIBM derives from the conventional momentum exchange-based immersed boundary method (IBM) by treating each Lagrangian point as a solid particle. This treatment enables LBM to be coupled with fine particles residing within a particular grid cell. Compared with the conventional IBM, dozens of times speedup in two-dimensional simulation…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLattice Boltzmann Simulation Studies · Granular flow and fluidized beds · Aerosol Filtration and Electrostatic Precipitation
