Skip to main navigationSkip to main content
The University of Southampton
Institute for Life Sciences

Bioengineering Sciences Seminar Series Event

13:00 - 14:00
13 January 2012
Room 2207, Life Sciences Building (85)

For more information regarding this event, please email Dr Nick Evans at .

Event details

Mathematical modelling of flow in curved compliant arteries

Cardiovascular disease, and in particular atherosclerosis, remain the leading cause of death in the western world. Despite the systemic nature of most risk factors, the distribution of atherosclerotic plaques in the cardiovascular system is highly focal, typically occurring in areas of disturbed flow such as curved arteries. The causative mechanisms of atherosclerosis remain unknown, but a correlation between atherosclerosis and wall shear stress has been identified by Caro et al (Proc R Soc B 177: 109-159, 1971). Vessel compliance has usually been omitted from previous studies, but could influence the hemodynamics in the near-wall region and hence the shear stress.

The aim of this research is to understand the effects of compliance on flow in idealized curved arteries in steady, low- and high-frequency flow. The method of asymptotic analysis is used to solve the Navier-Stokes equations.

The governing parameters are the Dean number, (proportional to the Reynolds number of the flow multiplied by the square root of the curvature of the pipe), the Womersley number (proportional to the frequency of the oscillation and kinematic viscosity of the fluid), the steady streaming Reynolds number (proportional to the curvature of the pipe and the Womersley number), and the non-dimensional compliance of the wall.

The results of this analysis reveal the effect of compliance on the axial velocity profile, the secondary flow, and on the axial wall shear stress.

Speaker information

Dr Sevil Payvandi,Bioengineering Sciences Group, University of Southampton.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.