Literature DB >> 20164632

An energy-rate based blood viscosity model incorporating aggregate network dynamics.

Efstathios Kaliviotis1, Michael Yianneskis.   

Abstract

Existing time-dependent blood viscosity models that involve aggregation dynamics are mainly based on structural variables and/or viscoelastic models in order to describe the bulk mechanical properties of the fluid, but the implications of important characteristics of blood microstructure, such as the time- and flow-dependent characteristics of the red blood cell network developed due to aggregation at low shear rates, have not been thoroughly investigated. In this paper a time-dependent blood viscosity model is developed based on an energy-rate model previously proposed (Skalak et al., Biophys. J. 35 (1977), 771-781), which describes the total work needed to overcome the various forces developed between aggregated cells, including the adhesive, elastic and dissipative forces. Novel formulations of the forces acting on the fluid are developed and implemented in a volume-averaged version of the energy-rate model. The calculation of the viscosity is based on the relationship between the rate of energy changes and shear stress per unit volume of the fluid. The results show that network characteristics may significantly influence the viscosity blood at low shear rates and exhibit good agreement with experimental observations.

Mesh:

Year:  2009        PMID: 20164632     DOI: 10.3233/BIR-2009-0555

Source DB:  PubMed          Journal:  Biorheology        ISSN: 0006-355X            Impact factor:   1.875


  2 in total

1.  Partitioning of red blood cell aggregates in bifurcating microscale flows.

Authors:  E Kaliviotis; J M Sherwood; S Balabani
Journal:  Sci Rep       Date:  2017-03-17       Impact factor: 4.379

2.  An Algorithm for the Noninvasive and Personalized Measurement of Microvascular Blood Viscosity Using Physiological Parameters.

Authors:  Ge Sun; Lin Yang; Weiwei Wang; Song Zhang; Zhichang Luo; Guanghui Wu; Xiaohong Liu; Dongmei Hao; Yimin Yang; Xuwen Li
Journal:  Biomed Res Int       Date:  2020-08-31       Impact factor: 3.411

  2 in total

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