Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-22T07:09:24.705Z Has data issue: false hasContentIssue false

NUMERICAL SIMULATION OF ATHEROSCLEROTIC PLAQUE GROWTH USING TWO-WAY FLUID–STRUCTURAL INTERACTION

Published online by Cambridge University Press:  15 November 2012

C. X. CHEN
Affiliation:
School of Mathematical and Geospatial Sciences, RMIT University, Melbourne, Victoria 3001, Australia (email: [email protected], [email protected], [email protected])
Y. DING
Affiliation:
School of Mathematical and Geospatial Sciences, RMIT University, Melbourne, Victoria 3001, Australia (email: [email protected], [email protected], [email protected])
J. A. GEAR*
Affiliation:
School of Mathematical and Geospatial Sciences, RMIT University, Melbourne, Victoria 3001, Australia (email: [email protected], [email protected], [email protected])
*
For correspondence; e-mail: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

This paper presents a numerical investigation of plaque growth in a diseased artery using the two-way fluid–structural interaction (FSI) technique. An axis-asymmetric 45% stenosis model is used as the base model to start the plaque growth approximation. The blood is modelled as a non-Newtonian fluid described by the Casson model. The artery tissue is assumed to be a nonlinear material. The two-way FSI simulation is carried out in a way that mimics the unsteady blood flow through a diseased artery by using a pulsatile flow condition. After each flow velocity cycle, the numerical results are extracted and used to modify the stenosis geometry based upon critical wall shear stress (WSS) values and an accepted relationship between the concentration of low density lipoprotein and WSS. The simulation procedure is repeated until the growth-updated stenosis morphology reaches 79% severity. The behaviour of the flow velocity is analysed at each growth stage, together with the WSS, to determine the change of plaque morphology due to growth. The effects of WSS and pressure on the artery wall at the final stage (79% severity) of the plaque growth model are also compared with results from the authors’ previous work, to demonstrate the importance of the morphology change in plaque growth modelling.

MSC classification

Type
Research Article
Copyright
Copyright © 2012 Australian Mathematical Society

References

[1]Chen, C. X., Ding, Y. and Gear, J. A., “Blood flow in stenosed arteries using two way, fluid–structural interaction”, ANZIAM J. 51 (2010) C586C611; http://journal.austms.org.au/ojs/index.php/ANZIAMJ/article/view/2575.CrossRefGoogle Scholar
[2]Deng, X., Marois, Y., How, T., Merhi, Y., King, M. and Guidoin, R., “Luminal surface concentration of lipoprotein (LDL) and its effects on the wall uptake of cholesterol by canine carotid arteries”, J. Vasc. Surg. 21 (1995) 135145; doi:10.1016/S0741-5214(95)70252-0.CrossRefGoogle ScholarPubMed
[3]Johnston, B. M., Johnston, P. R., Corney, S. and Kilpatrick, D., “Non-Newtonian blood flow in human right coronary arteries: steady state simulations”, J. Biomech. 37 (2004) 709720; doi:10.1016/j.jbiomech.2003.09.016.CrossRefGoogle ScholarPubMed
[4]Lee, K. W. and Xu, X. Y., “Modelling of flow and wall behaviour in a mildly stenosed tube”, Med. Engrg. Phys. 24 (2002) 575586; doi:10.1016/S1350-4533(02)00048-6.CrossRefGoogle Scholar
[5]Li, Z.-Y. and Gillard, J. H., “Simulation of the interaction between blood flow and atherosclerotic plaque”, in: Proc. 29th Annual International Conference of the IEEE EMBS, 2007, 16991702; doi:10.1109/IEMBS.2007.4352636.Google Scholar
[6]Naiki, T. and Karino, T., “Visualization of flow-dependent concentration polarization of macromolecules at the surface of a cultured endothelial cell monolayer by means of fluorescence microscopy”, Biorheology 37 (2000) 371384; http://iospress.metapress.com/content/29rx0j9dkkeuuyhj.Google ScholarPubMed
[7]Ojha, M., Cobbold, R. S. C., Johnston, K. W. and Hummel, R. L., “Pulsatile flow through constricted tubes: an experimental investigation using photochromic tracer methods”, J. Fluid Mech. 203 (1989) 173197; doi:10.1017/S0022112089001424.CrossRefGoogle Scholar
[8]Olgac, U., Kurtcuoglu, V. and Poulikakos, D., “Computational modeling of coupled blood-wall mass transport of LDL: effects of local wall shear stress”, Am. J. Physiol. Heart Circ. Physiol. 294 (2008) H909H919; doi:10.1152/ajpheart.01082.2007.CrossRefGoogle ScholarPubMed
[9]Soulis, J. V., Farmakis, T. M., Giannoglou, G. D. and Louridas, G. E., “Wall shear stress in normal left coronary artery tree”, J. Biomech. 39 (2006) 742749; doi:10.1016/j.jbiomech.2004.12.026.CrossRefGoogle ScholarPubMed
[10]Soulis, J. V., Fytanidis, D. K., Papaioannou, V. C. and Giannoglou, G. D., “Wall shear stress on LDL accumulation in human RCAs”, Med. Engrg. Phys. 32 (2010) 867877; doi:10.1016/j.medengphy.2010.05.011.CrossRefGoogle ScholarPubMed