Distributed Lagrange multiplier method for particulate flows with collisions

被引:71
|
作者
Singh, P
Hesla, TI
Joseph, DD
机构
[1] New Jersey Inst Technol, Dept Engn Mech, Newark, NJ 07102 USA
[2] Univ Minnesota, Dept Aerosp Engn & Mech, Minneapolis, MN 55455 USA
关键词
particulate flows; finite element method; direct numerical simulations; viscoelastic fluid; oldroyd-B fluid; particle collisions;
D O I
10.1016/S0301-9322(02)00164-7
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
A modified distributed Lagrange multiplier/fictitious domain method (DLM) that allows particles to undergo collisions is developed for particulate flows. In the earlier versions of the DLM method for Newtonian and viscoelastic liquids the particle surfaces were restricted to be more than one velocity element away from each other. A repulsive body force was applied to the particles when the distance between them was smaller than this critical value. This was necessary for ensuring that conflicting rigid body motion constraints from two different particles are not imposed at the same velocity nodes. In the modified DLM method the particles are allowed to come arbitrarily close to each other and even slightly overlap each other. When conflicting rigid body motion constraints from two different particles are applicable on a velocity node, the constraint from the particle that is closer to that node is used and the other constraint is dropped. An elastic repulsive force is applied when the particles overlap each other. In our simulations, the particles are allowed to overlap as much as one hundredth of the velocity element size. The modified DLM method is implemented for both Newtonian and viscoelastic liquids. Our simulations show that when particles are dropped in a channel, and the viscoelastic Mach number (M is less than one and the elasticity number (E) is greater than one, the particles form a chain parallel to the flow direction.; As in experiments, the new method allows particles in the chain to approximately touch each other. The particles dropped in a Newtonian liquid, on the other hand, undergo characteristic drafting, kissing and tumbling. During the touching phase, as in experiments, the two particles touch each other. The modified method thus allows hydrodynamic forces to be fully resolved to within the tolerance of the mesh and thus the extra artificial force in a security zone outside the particle which are used in all other methods are not needed. (C) 2003 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:495 / 509
页数:15
相关论文
共 50 条
  • [41] A regularized domain decomposition method with Lagrange multiplier
    Hu, Qiya
    ADVANCES IN COMPUTATIONAL MATHEMATICS, 2007, 26 (04) : 367 - 401
  • [42] A regularized domain decomposition method with Lagrange multiplier
    Qiya Hu
    Advances in Computational Mathematics, 2007, 26 : 367 - 401
  • [43] Distributed Lagrange multiplier/fictitious domain method in the framework of lattice Boltzmann method for fluid-structure interactions
    Shi, X
    Phan-Thien, N
    JOURNAL OF COMPUTATIONAL PHYSICS, 2005, 206 (01) : 81 - 94
  • [44] Existence results on Lagrange multiplier approach for gradient flows and application to optimization
    Kenya Onuma
    Shun Sato
    Japan Journal of Industrial and Applied Mathematics, 2024, 41 : 165 - 189
  • [45] Existence results on Lagrange multiplier approach for gradient flows and application to optimization
    Onuma, Kenya
    Sato, Shun
    JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, 2024, 41 (01) : 165 - 189
  • [46] An operator splitting scheme with a distributed Lagrange multiplier based fictitious domain method for wave propagation problems
    Bokil, VA
    Glowinski, R
    JOURNAL OF COMPUTATIONAL PHYSICS, 2005, 205 (01) : 242 - 268
  • [47] A Lagrange Multiplier Method for Distributed Optimization Based on Multi-Agent Network With Private and Shared Information
    Zhao, Yan
    Liu, Qingshan
    IEEE ACCESS, 2019, 7 : 83297 - 83305
  • [48] Lagrange multiplier method used in BESIII kinematic fitting
    Yan Liang
    He Kang-Lin
    Li Wei-Guo
    Bian Jian-Ming
    Fu Cheng-Dong
    Huang Bin
    Liu Ying
    Lue Qi-Wen
    Ning Fei-Peng
    Sun Sheng-Sen
    Xu Min
    Zhang Jian-Yong
    Zhu Yong-Sheng
    CHINESE PHYSICS C, 2010, 34 (02) : 204 - 209
  • [49] Lagrange multiplier method used in BESⅢ kinematic fitting
    严亮
    何康林
    李卫国
    边渐鸣
    傅成栋
    黄彬
    刘颖
    吕绮雯
    宁飞鹏
    孙胜森
    徐敏
    张建勇
    朱永生
    中国物理C, 2010, 34 (02) : 204 - 209
  • [50] Optimal Gait Families using Lagrange Multiplier Method
    Choi, Jinwoo
    Bass, Capprin
    Hatton, Ross L.
    2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2022, : 8873 - 8878