Schenkel, T. and Halliday, I. (2021) Continuum scale non Newtonian particle transport model for hæmorheology. Mathematics, 9 (17). 2100. ISSN 2227-7390
Abstract
We present a continuum scale particle transport model for red blood cells following collision arguments, in a diffusive flux formulation. The model is implemented in FOAM, in a framework suitable for haemodynamics simulations and adapted to multi-scaling. Specifically, the framework we present is able to ingest transport coefficient models to be derived, prospectively, from complimentary but independent meso-scale simulations. For present purposes, we consider modern semi-mechanistic rheology models, which we implement and test as proxies for such data. The model is verified against a known analytical solution and shows excellent agreement for high quality meshes and good agreement for typical meshes as used in vascular flow simulations. Simulation results for different size and time scales show that migration of red blood cells does occur on physiologically relevany timescales on small vessels below 1 mm and that the haematocrit concentration modulates the non-Newtonian viscosity. This model forms part of a multi-scale approach to haemorheology and model parameters will be derived from meso-scale simulations using multi-component Lattice Boltzmann methods. The code, haemoFoam, is made available for interested researchers.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | haemorheology; blood flow modelling; particle transport; numerical fluid mechanics |
Dates: |
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Institution: | The University of Sheffield |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 Sep 2021 15:58 |
Last Modified: | 06 Sep 2021 15:58 |
Status: | Published |
Publisher: | MDPI AG |
Refereed: | Yes |
Identification Number: | 10.3390/math9172100 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:177876 |