Validation of a fluid–structure interaction numerical model for predicting flow transients in arteries

Title: Validation of a fluid–structure interaction numerical model for predicting flow transients in arteries
Authors: Kanyanta, Valentine
Ivankovic, Alojz
Karac, Aleksandar
Permanent link: http://hdl.handle.net/10197/4603
Date: Aug-2009
Abstract: The interaction between the flowing blood and deforming arterial wall is critical in understanding the role of hemodynamic forces such as wall shear stress (WSS) in atherosclerosis. Numerical methods have been extensively used to understand the nature of flow around atherosclerosis susceptible regions of the vascular tree in order to establish the exact role of WSS in atherosclerosis. Unfortunately, most of the numerical studies have been performed on rigid arterial geometries, which do not take into account the effect of the interaction between the flowing blood and the dynamics of the flexible arterial wall. In vivo , blood vessels are continuously deforming with every contraction and relaxation of the heart during the cardiac cycle. This paper forms the first of the two-part paper series discussing the need for fluid-structure interaction (FSI) in hemodynamic WSS analysis. The paper presents a well validated FSI based numerical model, capable of accurately predicting flow transients in arteries. The numerical model is validated using analytical solutions and experiments conducted on polyurethane mock artery, with the numerical predictions, analytical solutions and experimental data comparing very well. Numerical studies are performed using OpenFOAM, a 3D Finite Volume Method(FVM) based C++ library.
Type of material: Journal Article
Publisher: Elsevier
Copyright (published version): 2009 Elsevier
Keywords: Fluid–structure interaction;Numerical model validation;Blood flow
DOI: 10.1016/j.jbiomech.2009.04.023
Language: en
Status of Item: Peer reviewed
Appears in Collections:Mechanical & Materials Engineering Research Collection

Show full item record

SCOPUSTM   
Citations 10

33
Last Week
0
Last month
checked on Jun 23, 2018

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.