Abstract

We present a novel framework for investigating the role of vascular structure on arterial haemodynamics in large vessels, with a special focus on the human common carotid artery (CCA). The analysis is carried out by adopting a three-dimensional (3D) derived, fibre-reinforced, hyperelastic structural model, which is coupled with an axisymmetric, reduced order model describing blood flow. The vessel transmural pressure and lumen area are related via a Holzapfel–Ogden type of law, and the residual stresses along the thickness and length of the vessel are also accounted for. After a structural characterization of the adopted hyperelastic model, we investigate the link underlying the vascular wall response and blood-flow dynamics by comparing the proposed framework results against a popular tube law. The comparison shows that the behaviour of the model can be captured by the simpler linear surrogate only if a representative value of compliance is applied. Sobol’s multi-variable sensitivity analysis is then carried out in order to identify the extent to which the structural parameters have an impact on the CCA haemodynamics. In this case, the local pulse wave velocity (PWV) is used as index for representing the arterial transmission capacity of blood pressure waveforms. The sensitivity analysis suggests that some geometrical factors, such as the stress-free inner radius and opening angle, play a major role on the system’s haemodynamics. Subsequently, we quantified the differences in haemodynamic variables obtained from different virtual CCAs, tube laws and flow conditions. Although each artery presents a distinct vascular response, the differences obtained across different flow regimes are not significant. As expected, the linear tube law is unable to accurately capture all the haemodynamic features characterizing the current model. The findings from the sensitivity analysis are further confirmed by investigating the axial stretching effect on the CCA fluid dynamics. This factor does not seem to alter the pressure and flow waveforms. On the contrary, it is shown that, for an axially stretched vessel, the vascular wall exhibits an attenuation in absolute distension and an increase in circumferential stress, corroborating the findings of previous studies. This analysis shows that the new model offers a good balance between computational complexity and physics captured, making it an ideal framework for studies aiming to investigate the profound link between vascular mechanobiology and blood flow.

Highlights

  • The gain in computational efficiency with 1D network models is even more notable when comparing with fluid–structure interaction (FSI) models; both account for the coupling between vascular wall and blood flow, whereas computational fluid dynamics (CFD) models do not

  • We report a multivariate sensitivity analysis aiming to define the impact of each wall structural parameter on the local pulse wave velocity (PWV)

  • The effects axial stretching on the common carotid artery (CCA) blood dynamics are investigated

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Summary

Introduction

One-dimensional (1D) network modelling has become an established tool for computing haemodynamic quantities through blood vessels for a broad spectrum of1 3 Vol.:(0123456789)patho-physiological and post-interventional scenarios (Alastruey et al 2007; Müller and Toro 2014a, b; Mynard and Smolich 2015; Coccarelli et al 2016; Boileau et al 2018; Blanco et al 2017; Sazonov et al 2017; Coccarelli et al 2017, 2018a; Carson et al 2019; Coccarelli et al 2019; Charlton et al 2019). By isolating the elastin and collagen contributions, Roach and Burton (Roach and Burton 2013) found that for low tension conditions the wall response is dominated by elastin, whilst for high stress, the tissue exhibits the characteristic stiffening of collagen This is reflected by a stress–strain relationship which is highly nonlinear. Hysteresis phenomena are exhibited when arteries are subjected to cyclic loading, and they are relevant for small calibre arteries (Holzapfel et al 2000; Gasser et al 2006) This has been confirmed in the study by Alastruey et al (2011), where the damping effect due to the wall visco-elasticity was much more significant in distal than in proximal blood vessels. PWV is calculated by dividing the distance between the two monitoring sites by

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