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      Fluid-Structure Interaction in Abdominal Aortic Aneurysm: Effect of Modeling Techniques

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          Abstract

          In this work, the impact of modeling techniques on predicting the mechanical behaviors of abdominal aortic aneurysm (AAA) is systematically investigated. The fluid-structure interaction (FSI) model for simultaneously capturing the transient interaction between blood flow dynamics and wall mechanics was compared with its simplified techniques, that is, computational fluid dynamics (CFD) or computational solid stress (CSS) model. Results demonstrated that CFD exhibited relatively smaller vortexes and tends to overestimate the fluid wall shear stress, compared to FSI. On the contrary, the minimal differences in wall stresses and deformation were observed between FSI and CSS models. Furthermore, it was found that the accuracy of CSS prediction depends on the applied pressure profile for the aneurysm sac. A large pressure drop across AAA usually led to the underestimation of wall stresses and thus the AAA rupture. Moreover, the assumed isotropic AAA wall properties, compared to the anisotropic one, will aggravate the difference between the simplified models with the FSI approach. The present work demonstrated the importance of modeling techniques on predicting the blood flow dynamics and wall mechanics of the AAA, which could guide the selection of appropriate modeling technique for significant clinical implications.

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          Most cited references24

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          The Biomechanics of Arterial Aneurysms

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            Pressure-flow relationships and vascular impedance in man.

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              Biomechanical determinants of abdominal aortic aneurysm rupture.

              Rupture of abdominal aortic aneurysm (AAA) represents a significant clinical event, having a mortality rate of 90% and being currently ranked as the 13th leading cause of death in the US. The ability to reliably evaluate the susceptibility of a particular AAA to rupture on a case-specific basis could vastly improve the clinical management of these patients. Because AAA rupture represents a mechanical failure of the degenerated aortic wall, biomechanical considerations are important to understand this process and to improve our predictions of its occurrence. Presented here is an overview of research to date related to the biomechanics of AAA rupture. This includes a summary of results related to ex vivo and in vivo mechanical testing, noninvasive AAA wall stress estimations, and potential mechanisms of AAA wall weakening. We conclude with a demonstration of a biomechanics-based approach to predicting AAA rupture on a patient-specific basis, which may ultimately prove to be superior to the widely and currently used maximum diameter criterion.
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                Author and article information

                Journal
                Biomed Res Int
                Biomed Res Int
                BMRI
                BioMed Research International
                Hindawi Publishing Corporation
                2314-6133
                2314-6141
                2017
                22 February 2017
                : 2017
                : 7023078
                Affiliations
                1School of Civil Engineering and Architecture, Xiamen University of Technology, Xiamen, China
                2Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588-0656, USA
                3Department of Interventional Radiology, The First Affiliated Hospital, Zhengzhou University, Henan Province, China
                4Nebraska Center for Materials and Nanoscience, Lincoln, NE 68588-0656, USA
                Author notes

                Academic Editor: Jifu Tan

                Author information
                http://orcid.org/0000-0003-2637-0299
                Article
                10.1155/2017/7023078
                5340988
                28321413
                736d1c0d-35f1-4858-b02c-2308b268c93c
                Copyright © 2017 Shengmao Lin et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 10 October 2016
                : 7 December 2016
                : 15 January 2017
                Funding
                Funded by: National Science Foundation
                Award ID: 1254095
                Categories
                Research Article

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