Eventos Anais de eventos
EPTT 2020
12th Spring School on Transition and Turbulence
Investigation of Turbulence Effects on the Risk of Rupture of a Middle Cerebral Artery Aneurysm
Submission Author:
Cristian Ricardo Schwatz , SC
Co-Authors:
Cristian Ricardo Schwatz, Ricardo Nava de Sousa, Leandro Jose Haas, Christine Boos, Leonardo Machado da Rosa, Marcela Silva, Henry França Meier, Jaci Carlo Schramm Câmara Bastos
Presenter: Cristian Ricardo Schwatz
doi://10.26678/ABCM.EPTT2020.EPT20-0076
Abstract
Aneurysms are diseases that affect a considerable part of the world population, which can present high mortality rates. Furthermore, they are asymptomatic, hindering its identification by the physician. Additionally, physicians adopt a methodology based on the aneurysm size in order to opt for surgical intervention. Hence, aneurysm identification and the evaluation of its rupture risk can aid the medical field. With this in mind, Computational Fluid Dynamics (CFD) tools were developed with the purpose of providing physicians with additional analysis parameters. Wall Shear Stress based parameters, such as the Time Average Wall Shear Stress (WSS), Oscillatory Shear Index (OSI), and Relative Residence Time (RRT) are some of the parameters often utilized to assess the risk of aneurysm rupture, as well as the risk of atherosclerotic plaque formation at the vessel wall. However, CFD-based tools are dependent on the numerical setup chosen, and thus, considerations such as which boundary conditions to use or whether turbulence modeling is considered, are of vital importance to the responsible for the numerical simulations. Thus, the present work has the objective of investigating the influence of different turbulence models over the risk of rupture of a middle cerebral artery aneurysm by evaluating Wall Shear Stress based parameters. In order to perform this assessment, a comparison among simulations that considered turbulence and a simulation that used a laminar approach was carried out. Additionally, a pulsatile inlet boundary condition was utilized, to closely model the physiological phenomena and the geometry used was reconstructed based of medical data.
Keywords
hemodynamics, Intracranial aneurysms, Turbulence, Rupture Risk, Computational fluid dynamics (CFD)
