Particle-based simulations of red blood cells-A review

被引:103
|
作者
Ye, Ting [1 ]
Nhan Phan-Thien [2 ]
Lim, Chwee Teck [2 ,3 ,4 ]
机构
[1] Jilin Univ, Dept Computat Math, Changchun, Peoples R China
[2] Natl Univ Singapore, Dept Mech Engn, Singapore, Singapore
[3] Natl Univ Singapore, Dept Biomed Engn, Singapore, Singapore
[4] Natl Univ Singapore, Mechanobiol Inst, Singapore, Singapore
关键词
Dissipative particle dynamics; Smoothed particle hydrodynamics; Lattice Boltzmann method; RBC dynamics; RBC rheology; LATTICE BOLTZMANN METHOD; NUMERICAL-SIMULATION; FREE LAYER; COMPUTER-SIMULATION; CAPILLARY VESSELS; OPTICAL TWEEZERS; PLATELET MOTION; NARROW TUBE; SHEAR FLOWS; AGGREGATION;
D O I
10.1016/j.jbiomech.2015.11.050
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Particle-based methods have been increasingly attractive for solving biofluid flow problems, because of the ease and flexibility in-modeling complex structure fluids afforded by the methods. In this review, we focus on popular particle-based methods widely used in red blood cell (RBC) simulations, including dissipative particle dynamics (DPD), smoothed particle hydrodynamics (SPH), and lattice Boltzmann method (LBM). We introduce their basic ideas and formulations, and present their applications in RBC simulations which are divided into three classes according to the number of RBCs in the simulation: a single RBC, two or multiple RBCs, and RBC suspension. Furthermore, we analyze their advantages and disadvantages. On weighing the pros and cons of the methods, a combination of the immersed boundary (IB) method and some forms of smoothed dissipative particle hydrodynamics (SDPD) methods may be required to deal effectively with RBC simulations. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2255 / 2266
页数:12
相关论文
共 50 条
  • [1] Continuum- and particle-based modeling of shapes and dynamics of red blood cells in health and disease
    Li, Xuejin
    Vlahovska, Petia M.
    Karniadakis, George Em
    [J]. SOFT MATTER, 2013, 9 (01) : 28 - 37
  • [2] Calcium in Red Blood Cells-A Perilous Balance
    Bogdanova, Anna
    Makhro, Asya
    Wang, Jue
    Lipp, Peter
    Kaestner, Lars
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2013, 14 (05) : 9848 - 9872
  • [3] Generalized drag force for particle-based simulations
    Gissler, Christoph
    Band, Stefan
    Peer, Andreas
    Ihmsen, Markus
    Teschner, Matthias
    [J]. COMPUTERS & GRAPHICS-UK, 2017, 69 : 1 - 11
  • [4] Porous flow in particle-based fluid simulations
    Lenaerts, Toon
    Adams, Bart
    Dutre, Philip
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2008, 27 (03):
  • [5] Surface Turbulence for Particle-Based Liquid Simulations
    Mercier, Olivier
    Beauchemin, Cynthia
    Thuerey, Nils
    Kim, Theodore
    Nowrouzezahrai, Derek
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2015, 34 (06):
  • [6] Preface: Particle-based simulations on cell and biomolecular mechanics
    José Manuel García-Aznar
    [J]. Computational Particle Mechanics, 2015, 2 : 315 - 315
  • [7] Particle-based sampling of N-body simulations
    Faber, N. T.
    Stibbe, D.
    Portegies Zwart, S.
    McMillan, S. L. W.
    Boily, C. M.
    [J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2010, 401 (03) : 1898 - 1903
  • [8] Sliced Data Structure for Particle-Based Simulations on GPUs
    Harada, Takahiro
    Koshizuka, Seiichi
    Kawaguchi, Yoichiro
    [J]. GRAPHITE 2007: 5TH INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS AND INTERACTIVE TECHNIQUES IN AUSTRALASIA AND SOUTHERN ASIA, PROCEEDINGS, 2007, : 55 - 62
  • [9] MAGNETIZATION MODELS FOR PARTICLE-BASED SIMULATIONS OF MAGNETORHEOLOGICAL FLUIDS
    Lagger, Hanna G.
    Peguiron, Joel
    Bierwisch, Claas
    Moseler, Michael
    [J]. COMPUTATIONAL METHODS FOR COUPLED PROBLEMS IN SCIENCE AND ENGINEERING IV, 2011, : 1071 - 1082
  • [10] Origin of Granular Capillarity Revealed by Particle-Based Simulations
    Fan, Fengxian
    Parteli, Eric J. R.
    Poeschel, Thorsten
    [J]. PHYSICAL REVIEW LETTERS, 2017, 118 (21)