PIBM: Particulate immersed boundary method for fluid-particle interaction problems

被引:26
|
作者
Zhang, Hao [1 ]
Trias, F. Xavier [1 ]
Oliva, Assensi [1 ]
Yang, Dongmin [2 ]
Tan, Yuanqiang [3 ]
Shu, Shi [4 ]
Sheng, Yong [2 ]
机构
[1] Tech Univ Catalonia, Heat & Mass Transfer Technol Ctr, Barcelona 08222, Spain
[2] Univ Leeds, Sch Civil Engn, Leeds LS2 9JT, W Yorkshire, England
[3] Xiangtan Univ, Sch Mech Engn, Xiangtan 411105, Hunan, Peoples R China
[4] Xiangtan Univ, Sch Math & Computat Sci, Xiangtan 411105, Hunan, Peoples R China
关键词
LBM; Particulate-IBM; DEM; Fluid-particle interaction; LATTICE-BOLTZMANN METHOD; SIMULATION; FLOW; VELOCITY; DEM;
D O I
10.1016/j.powtec.2014.11.025
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
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 particulate 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 Lattice Boltzmann Method (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 and hundreds of times in three-dimensional simulation can be expected under the same particle and mesh number. Numerical simulations of particle sedimentation in Newtonian flows were canducted based on a combined LBM-PIBM-Discrete Element Method (DEM) scheme, showing that the PIBM can capture the feature of particulate flows in fluid and is indeed a promising scheme for the solution of the fluid-particle interaction problems. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 13
页数:13
相关论文
共 50 条
  • [1] Particulate Immersed Boundary Method for complex fluid-particle interaction problems with heat transfer
    Zhang, Hao
    Yuan, Haizhuan
    Trias, F. Xavier
    Yu, Aibing
    Tan, Yuanqiang
    Oliva, Assensi
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2016, 71 (01) : 391 - 407
  • [2] A modified immersed boundary method for simulations of fluid-particle interactions
    Luo, Kun
    Wang, Zeli
    Fan, Jianren
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2007, 197 (1-4) : 36 - 46
  • [3] An immersed boundary method to solve fluid–solid interaction problems
    Dedy Zulhidayat Noor
    Ming-Jyh Chern
    Tzyy-Leng Horng
    Computational Mechanics, 2009, 44 : 447 - 453
  • [4] An immersed boundary method to solve fluid-solid interaction problems
    Noor, Dedy Zulhidayat
    Chern, Ming-Jyh
    Horng, Tzyy-Leng
    COMPUTATIONAL MECHANICS, 2009, 44 (04) : 447 - 453
  • [5] A diffuse-interface lattice Boltzmann method for fluid-particle interaction problems
    Liu, Jiao
    Huang, Changsheng
    Chai, Zhenhua
    Shi, Baochang
    COMPUTERS & FLUIDS, 2022, 233
  • [6] An improved ghost cell Immersed Boundary Method for conjugate mass and heat transport in fluid-particle systems
    Claassen, C. M. Y.
    Baltussen, M. W.
    Peters, E. A. J. F.
    Kuipers, J. A. M.
    CHEMICAL ENGINEERING SCIENCE, 2024, 291
  • [7] A pressure correction-volume of fluid method for simulations of fluid-particle interaction and impact problems
    Lin, San-Yih
    Chen, Yi-Cheng
    INTERNATIONAL JOURNAL OF MULTIPHASE FLOW, 2013, 49 : 31 - 48
  • [8] Development of an immersed boundary-thermal lattice boltzmann solver for fluid-particle interaction in energy management systems
    Majumder, Sambit
    Ghosh, Arnab
    Basu, Dipankar N.
    Natarajan, Ganesh
    INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY AND GREEN TECHNOLOGY 2019, 2020, 463
  • [9] A Numerical Study of Fluid-Particle Interaction with Slip Boundary Condition
    Zhang, Xing
    Luo, Li
    Wang, Xiaoping
    NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS, 2018, 11 (04) : 795 - 809
  • [10] A GPU-Version Lattice Boltzmann Method for Solving Fluid-Particle Interaction Problems
    Lin, San-Yih
    Tai, Yuan-Hung
    JOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERS, 2012, 33 (05): : 391 - 400