Imperial College London

Dr Joseph van Batenburg-Sherwood

Faculty of EngineeringDepartment of Bioengineering

Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 7244jvbsherwood Website

 
 
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Location

 

Uren 416ASir Michael Uren HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{van:2021,
author = {van, Batenburg-Sherwood J and Balabani, S},
journal = {Biomechanics and Modeling in Mechanobiology},
title = {Continuum microhaemodynamics modelling using inverse rheology},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Modelling blood flow in microvascular networks is challenging due to the complex nature of haemorheology. Zero- and onedimensional approaches cannot reproduce local haemodynamics, and models that consider individual red blood cells (RBCs) are prohibitively computationally expensive. Continuum approaches could provide an efficient solution, but dependence on a large parameter space and scarcity of experimental data for validation has limited their application. We describe a method to assimilate experimental RBC velocity and concentration data into a continuum numerical modelling framework. Imaging data of RBCs were acquired in a sequentially bifurcating microchannel for various flow conditions. RBC concentration distributions were evaluated and mapped into computational fluid dynamics simulations with rheology prescribed by the Quemada model. Predicted velocities were compared to particle image velocimetry data. A subset of cases was used for parameter optimisation, and the resulting model was applied to a wider data set to evaluate model efficacy. The pre-optimised model reduced errors in predicted velocity by 60% compared to assuming a Newtonian fluid, and optimisation further reduced errors by 40%. Asymmetry of RBC velocity and concentration profiles was demonstrated to play a critical role. Excluding asymmetry in the RBC concentration doubled the error, but excluding spatial distributions of shear rate had little effect. This study demonstrates that a continuum model with optimised rheological parameters can reproduce measured velocity if RBC concentration distributions are known a priori. Developing this approach for RBC transport with more network configurations has the potential to provide an efficient approach for modelling network-scale haemodynamics.
AU - van,Batenburg-Sherwood J
AU - Balabani,S
PY - 2021///
SN - 1617-7940
TI - Continuum microhaemodynamics modelling using inverse rheology
T2 - Biomechanics and Modeling in Mechanobiology
ER -