2015
DOI: 10.1166/jcsmd.2015.1062
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Hemodynamic simulations in the cerebral venous network: A study on the influence of different modeling assumptions

Abstract: International audienceBlood flow computations in complex geometries are of major interest in various cardio-vascular applications. However, deriving an appropriate computational model is still an open issue and a central question is how to incorporate and quantify uncertainties due to different modeling assumptions. The present work is intended as a first step in this direction, in the particular case of blood flow in the cerebral venous system. After a careful evaluation of the influence of the computational … Show more

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Cited by 5 publications
(10 citation statements)
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“…The ingredients include a very expressive embedded language, seamless interpolation, mesh adaption and seamless parallelization. It has been used in various contexts including the development and/or numerical veri cation of (new) mathematical methods or the development of large multi-physics applications [32,9]. The range of users spans from mechanical engineers in industry, physicists in complex uids, computer scientists in biomedical applications to applied mathematicians thanks to the shared common mathematical embedded language hiding linear algebra and computer science complexities.…”
Section: Computational Framework the Analysis Hereafter Is Developedmentioning
confidence: 99%
See 2 more Smart Citations
“…The ingredients include a very expressive embedded language, seamless interpolation, mesh adaption and seamless parallelization. It has been used in various contexts including the development and/or numerical veri cation of (new) mathematical methods or the development of large multi-physics applications [32,9]. The range of users spans from mechanical engineers in industry, physicists in complex uids, computer scientists in biomedical applications to applied mathematicians thanks to the shared common mathematical embedded language hiding linear algebra and computer science complexities.…”
Section: Computational Framework the Analysis Hereafter Is Developedmentioning
confidence: 99%
“…We now consider a more realistic context, an application to hemodynamics, which complements a previous work we developed in [9] on blood ow computational modeling in the cerebral venous network.…”
mentioning
confidence: 99%
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“…For more realistic boundary conditions, we report to another work carried out in the VIVABRAIN project 1 (Chabannes et al (2015)). …”
Section: Initial and Boundary Conditionsmentioning
confidence: 99%
“…In addition to the arguments developed in Section 3, blood flow simulations in cerebral aneurysms were not sensitive to blood rheology models (Gambaruto et al (2011)). Moreover, the blood viscosity model influences to a lesser extent blood flow computations than the modeling assumptions on the boundary conditions, especially inlet conditions, except when a precise computation of the wall shear stress is needed (Chabannes et al (2015)). …”
Section: Newtonian Assumptionmentioning
confidence: 99%