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Wall shear stress in a subject specific human aorta - Influence of fluid-structure interaction
Linköping University, Department of Management and Engineering, Applied Thermodynamics and Fluid Mechanics. Linköping University, The Institute of Technology.ORCID iD: 0000-0003-1942-7699
Linköping University, Department of Management and Engineering, Applied Thermodynamics and Fluid Mechanics. Linköping University, The Institute of Technology.
Linköping University, Department of Management and Engineering, Applied Thermodynamics and Fluid Mechanics. Linköping University, The Institute of Technology.
2011 (English)In: International Journal of Applied Mechanics, ISSN 1758-8251, Vol. 3, no 4, 759-778 p.Article in journal (Refereed) Published
Abstract [en]

Vascular wall shear stress (WSS) has been correlated to the development of atherosclerosis in arteries. As WSS depends on the blood flow dynamics, it is sensitive to pulsatile effects and local changes in geometry. The aim of this study is therefore to investigate if the effect of wall motion changes the WSS or if a rigid wall assumption is sufficient. Magnetic resonance imaging (MRI) was used to acquire subject specific geometry and flow rates in a human aorta, which were used as inputs in numerical models. Both rigid wall models and fluid-structure interaction (FSI) models were considered, and used to calculate the WSS on the aortic wall. A physiological range of different wall stiffnesses in the FSI simulations was used in order to investigate its effect on the flow dynamics. MRI measurements of velocity in the descending aorta were used as validation of the numerical models, and good agreement was achieved. It was found that the influence of wall motion was low on time-averaged WSS and oscillating shear index, but when regarding instantaneous WSS values the e.ect from the wall motion was clearly visible. Therefore, if instantaneous WSS is to be investigated, a FSI simulation should be considered.

Place, publisher, year, edition, pages
World Scientific Publishing , 2011. Vol. 3, no 4, 759-778 p.
Keyword [en]
computational fluid dynamics; wall deformation; windkessel model; pressure wave; magnetic resonance imaging
National Category
Applied Mechanics
URN: urn:nbn:se:liu:diva-71720DOI: 10.1142/S1758825111001226ISI: 000299096300006OAI: diva2:453413
funding agencies|Swedish research council| VR 2007-4085 VR 2010-4282 |National Supercomputer Center (NSC)| SNIC022/09-11 |CMIV||Available from: 2011-11-02 Created: 2011-11-02 Last updated: 2013-09-12
In thesis
1. On Aortic Blood Flow Simulations: Scale-Resolved Image-Based CFD
Open this publication in new window or tab >>On Aortic Blood Flow Simulations: Scale-Resolved Image-Based CFD
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis focuses on modeling and simulation of the blood flow in the aorta, the largest artery in the human body. It is an accepted fact that abnormal biological and mechanical interactions between the blood flow and the vessel wall are involved in the genesis and progression of cardiovascular diseases. The transport of low-density lipoprotein into the wall has been linked to the initiation of atherosclerosis. The mechanical forces acting on the wall can impede the endothelial cell layer function, which normally acts as a barrier to harmful substances. The wall shear stress (WSS) affects endothelial cell function, and is a direct consequence of the flow field; steady laminar flows are generally considered atheroprotective, while the unsteady turbulent flow could contribute to atherogenesis. Quantification of regions with abnormal wall shear stress is therefore vital in order to understand the initiation and progression of atherosclerosis.However, flow forces such as WSS cannot today be measured with significant accuracy using present clinical measurement techniques. Instead, researches rely on image-based computational modeling and simulation. With the aid of advanced mathematical models it is possible to simulate the blood flow, vessel dynamics, and even biochemical reactions, enabling information and insights that are currently unavailable through other techniques. During the cardiac cycle, the normally laminar aortic blood flow can become unstable and undergo transition to turbulence, at least in pathological cases such as coarctation of the aorta where the vessel is locally narrowed. The coarctation results in the formation of a jet with a high velocity, which will create the transition to turbulent flow. The high velocity will also increase the forces on the vessel wall. Turbulence is generally very difficult to model, requiring advanced mathematical models in order to resolve the flow features. As the flow is highly dependent on geometry, patient-specific representations of the in vivo arterial walls are needed, in order to perform an accurate and reliable simulation. Scale-resolving flow simulations were used to compute the WSS on the aortic wall and resolve the turbulent scales in the complex flow field. In addition to WSS, the turbulent flow before and after surgical intervention in an aortic coarctation was assessed. Numerical results were compared to state-of-the-art magnetic resonance imaging measurements. The results agreed very well, suggesting that that the measurement technique is reliable and could be used as a complement to standard clinical procedures when evaluating the outcome of an intervention.The work described in the thesis deals with patient-specific flows, and is, when possible, validated with experimental measurements. The results provide new insights to turbulent aortic flows, and show that image-based computational modeling and simulation are now ready for clinical practice.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2013. 66 p.
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1493
National Category
Applied Mechanics
urn:nbn:se:liu:diva-85682 (URN)978-91-7519-720-3 (ISBN)
Public defence
2013-01-07, Nobel (BL32), B-huset, Campus Valla, Linköpings Universitet, Linköping, 09:00 (English)
Swedish Research CouncilSwedish Research Council
Available from: 2012-11-28 Created: 2012-11-28 Last updated: 2013-09-12Bibliographically approved

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