Biomechanics and Modeling in Mechanobiology

, Volume 13, Issue 2, pp 239–258 | Cite as

Multiscale modeling of blood flow: from single cells to blood rheology

  • Dmitry A. Fedosov
  • Hiroshi Noguchi
  • Gerhard Gompper
Original Paper


Mesoscale simulations of blood flow, where the red blood cells are described as deformable closed shells with a membrane characterized by bending rigidity and stretching elasticity, have made much progress in recent years to predict the flow behavior of blood cells and other components in various flows. To numerically investigate blood flow and blood-related processes in complex geometries, a highly efficient simulation technique for the plasma and solutes is essential. In this review, we focus on the behavior of single and several cells in shear and microcapillary flows, the shear-thinning behavior of blood and its relation to the blood cell structure and interactions, margination of white blood cells and platelets, and modeling hematologic diseases and disorders. Comparisons of the simulation predictions with existing experimental results are made whenever possible, and generally very satisfactory agreement is obtained.


Red blood cell Dissipative particle dynamics Multiparticle collision dynamics Blood rheology  Shear-thinning Capillary flow Microvessels  Discocyte, parachute, and slipper shapes 



Molecular dynamics


Dissipative particle dynamics


Multiparticle collision dynamics


Smoothed particle hydrodynamics


Brownian dynamics


Lattice Boltzmann method


Computational fluid dynamics


Immersed boundary method


Front tracking method


Red blood cell


White blood cell


Giant unilamellar vesicle


Keller–Skalak theory


Radial distribution function


Cell-free layer


Plasmodium falciparum


Adenosine triphosphate


Two dimensions


Three dimensions



We would like to acknowledge support by the German Science Foundation (DFG) through the research unit FOR 1543, “Shear flow regulation of hemostasis—bridging the gap between nanomechanics and clinical presentation (SHENC)”. We thank the Jülich Supercomputing Centre (JSC) at the Forschungszentrum Jülich for providing computer resources. D.A.F. acknowledges funding by the Alexander von Humboldt Foundation.


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© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Dmitry A. Fedosov
    • 1
  • Hiroshi Noguchi
    • 2
  • Gerhard Gompper
    • 1
  1. 1.Theoretical Soft Matter and Biophysics, Institute of Complex Systems and Institute for Advanced SimulationForschungszentrum JülichJülichGermany
  2. 2.Institute for Solid State PhysicsUniversity of TokyoChibaJapan

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