Computational haemodynamics of small vessels using the Moving Particle Semi-implicit (MPS) method

被引:34
|
作者
Gambaruto, Alberto M. [1 ]
机构
[1] Barcelona Supercomp Ctr, Dept Comp Applicat Sci & Engn CASE, Barcelona, Spain
关键词
Micro-circulation; Moving particle semi-implicit (MPS) method; Spring network; Red blood cells; RED-BLOOD-CELLS; ENDOTHELIAL SURFACE-LAYER; NUMERICAL-ANALYSIS; SHEAR-STRESS; FLOW; SIMULATION; MOTION; RHEOLOGY; BEHAVIOR; ROBUST;
D O I
10.1016/j.jcp.2015.08.039
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The simulation of whole blood stands as a complex multi-body problem. The Moving Particle Semi-implicit method, a Lagrangian particle method to solve the incompressible Navier-Stokes (NS) equations, is developed to perform simulations in complex periodic domains. Red blood cells are modelled using the spring network approach, that act as body force terms in the NS equations. Detailed presentation and derivation of both the MPS method and different spring network models is given. An adaptive time step and an implicit scheme are adopted, improving the stability and overall computational efficiency. The findings from the simulations show evidence that in proximity to the vessel wall, the red blood cells expose a larger surface area by orientation and deformation, due to the presence of a high velocity gradient. The greatest membrane internal stresses occur in the core region of the flow. The intra-cell interaction is driven by a complex flow field that can be visualised in a Lagrangian framework, and highlights vortex structures in the wakes and in between the cells. The stresses the blood exerts on the vessel wall are influenced by this complex flow field and by the presence of red blood cells. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:68 / 96
页数:29
相关论文
共 50 条
  • [1] Comparison of parallel solvers for Moving Particle Semi-Implicit method
    Duan, Guangtao
    Chen, Bin
    ENGINEERING COMPUTATIONS, 2015, 32 (03) : 834 - 862
  • [2] Numerical computation of thermally controlled steam bubble condensation using Moving Particle Semi-implicit (MPS) method
    Tian, Wenxi
    Ishiwatari, Yuki
    Ikejiri, Satoshi
    Yamakawa, Masanori
    Oka, Yoshiaki
    ANNALS OF NUCLEAR ENERGY, 2010, 37 (01) : 5 - 15
  • [3] Enhancement of stability and accuracy of the moving particle semi-implicit method
    Khayyer, Abbas
    Gotoh, Hitoshi
    JOURNAL OF COMPUTATIONAL PHYSICS, 2011, 230 (08) : 3093 - 3118
  • [4] Study of the free surface flow of water-kaolinite mixture by moving particle semi-implicit (MPS) method
    Xie, J.
    Tai, Y. C.
    Jin, Y. C.
    INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2014, 38 (08) : 811 - 827
  • [5] Implementation of the moving particle semi-implicit method on GPU
    Zhu XiaoSong
    Cheng Liang
    Lu Lin
    Teng Bin
    SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2011, 54 (03) : 523 - 532
  • [6] Smooth particle approach for surface tension calculation in moving particle semi-implicit method
    Ichikawa, Hiroki
    Labrosse, Stephane
    FLUID DYNAMICS RESEARCH, 2010, 42 (03)
  • [7] Study on melt stratification and migration in debris bed using the moving particle semi-implicit method
    Li, Gen
    Wen, Panpan
    Feng, Haobo
    Zhang, Jun
    Yan, Junjie
    NUCLEAR ENGINEERING AND DESIGN, 2020, 360
  • [8] Stable multiphase moving particle semi-implicit method for incompressible interfacial flow
    Duan, Guangtao
    Chen, Bin
    Koshizuka, Seiichi
    Xiang, Hao
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2017, 318 : 636 - 666
  • [9] A study on thrombus influenced red blood cell flow in microvasculature using moving particle semi-implicit method
    Wang, Ze-Xiao
    Guan, Jian
    Chen, Lei
    Tao, Wen-Quan
    INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW, 2020, 81
  • [10] Mass transfer mechanisms of rotary atomization: A numerical study using the moving particle semi-implicit method
    Sun, Zhongguo
    Chen, Xiao
    Xi, Guang
    Liu, Ling
    Chen, Xi
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2017, 105 : 90 - 101