Assessment of surface roughness and blood rheology on local coronary hemodynamics: a multi-scale computational fluid dynamics study

OWEN, David, SCHENKEL, Torsten, SHEPHERD, Duncan and ESPINO, Daniel (2020). Assessment of surface roughness and blood rheology on local coronary hemodynamics: a multi-scale computational fluid dynamics study. Journal of the Royal Society Interface.

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Abstract

The surface roughness of the coronary artery is associated with the onset of atherosclerosis. The study applies, for the first time, the micro-scale variation of the artery surface to a 3D coronary model, investigating the impact on haemodynamic parameters which are indicators for atherosclerosis. The surface roughness of porcine coronary arteries have been detailed based on optical microscopy and implemented into a cylindrical section of coronary artery. Several approaches to rheology are compared to determine the benefits/limitations of both single and multiphase models for multi-scale geometry. Haemodynamic parameters averaged over the rough/smooth sections are similar; however, the rough surface experiences a much wider range, with maximum wall shear stress greater than 6 Pa compared to the approximately 3 Pa on the smooth segment. This suggests the smooth-walled assumption may neglect important near-wall haemodynamics. While rheological models lack sufficient definition to truly encompass the micro-scale effects occurring over the rough surface, single-phase models (Newtonian and non-Newtonian) provide numerically stable and comparable results to other coronary simulations. Multiphase models allow for phase interactions between plasma and red blood cells which is more suited to such multi-scale models. These models require additional physical laws to govern advection/aggregation of particulates in the near-wall region.

Item Type:	Article
Uncontrolled Keywords:	General Science & Technology
Identification Number:	https://doi.org/10.1098/rsif.2020.0327
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	27 Jul 2020 13:44
Last Modified:	17 Mar 2021 23:32
URI:	https://shura.shu.ac.uk/id/eprint/26782

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