On the choice of outlet boundary conditions for patient-specific analysis of aortic flow using computational fluid dynamics

Boundary conditions (BCs) are an essential part in computational fluid dynamics (CFD) simulations of blood flow in large arteries. Although several studies have investigated the influence of BCs on predicted flow patterns and hemodynamic wall parameters in various arterial models, there is a lack of...

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Vydáno v:Journal of biomechanics Ročník 60; s. 15 - 21
Hlavní autoři: Pirola, S., Cheng, Z., Jarral, O.A., O'Regan, D.P., Pepper, J.R., Athanasiou, T., Xu, X.Y.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Elsevier Ltd 26.07.2017
Elsevier Limited
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ISSN:0021-9290, 1873-2380, 1873-2380
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Shrnutí:Boundary conditions (BCs) are an essential part in computational fluid dynamics (CFD) simulations of blood flow in large arteries. Although several studies have investigated the influence of BCs on predicted flow patterns and hemodynamic wall parameters in various arterial models, there is a lack of comprehensive assessment of outlet BCs for patient-specific analysis of aortic flow. In this study, five different sets of outlet BCs were tested and compared using a subject-specific model of a normal aorta. Phase-contrast magnetic resonance imaging (PC-MRI) was performed on the same subject and velocity profiles extracted from the in vivo measurements were used as the inlet boundary condition. Computational results obtained with different outlet BCs were assessed in terms of their agreement with the PC-MRI velocity data and key hemodynamic parameters, such as pressure and flow waveforms and wall shear stress related indices. Our results showed that the best overall performance was achieved by using a well-tuned three-element Windkessel model at all model outlets, which not only gave a good agreement with in vivo flow data, but also produced physiological pressure waveforms and values. On the other hand, opening outlet BCs with zero pressure at multiple outlets failed to reproduce any physiologically relevant flow and pressure features.
Bibliografie:ObjectType-Article-1
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ISSN:0021-9290
1873-2380
1873-2380
DOI:10.1016/j.jbiomech.2017.06.005