Impact of Turbulence Modeling on the Full and Reduced Simulations of Aortic Blood Flow
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The blood flow in the ascending aorta reaches moderate to high Reynolds number, and the flow disturbances caused by aortic narrowing can yield to a transition to turbulence. The purpose of this work is to highlight the impact of turbulence modeling choices on the computation of selected quantity of interests. Namely, we consider three approaches from the class of large eddy simulation (LES) models (Smagorinsky, Vreman, sigma-model) and a residual-based variational multiscale model, within a finite element framework. The comparison, based on patient-specific simulation of an aortic coarctation, addresses biomarkers which are commonly used to characterize abnormal or pathological flow conditions such as the variation of pressure along the aorta, the secondary flow degree, the normalized flow displacement, wall shear stresses, and oscillatory shear index (OSI).
