Why the study?
The complex physics and biology underlying intracranial hemodynamics are not yet fully understood, and the significance of blood shear-thinning properties compared to the Newtonian viscosity hypothesis requires clarification.
Demonstrates that incorporating non-Newtonian shear-thinning properties is crucial for accurate computational modeling of intracranial hemodynamics and endothelial shear stress.
Animal CFD data support non-Newtonian modeling for shear stress accuracy; leaves open translation to human cerebrovascular simulations.
The complex physics and biology underlying intracranial hemodynamics are yet to be fully revealed. A fully resolved direct numerical simulation (DNS) study has been performed to identify the intrinsic flow dynamics in an idealized carotid bifurcation model. To shed the light on the significance of considering blood shear-thinning properties, the power-law model is compared to the commonly used Newtonian viscosity hypothesis. We scrutinize the kinetic energy cascade (KEC) rates in the Fourier domain and the vortex structure of both fluid models and examine the impact of the power-law viscosity model. The flow intrinsically contains coherent structures which has frequencies corresponding to the boundary frequency, which could be associated with the regulation of endothelial cells. From the proposed comparative study, it is found that KEC rates and the vortex-identification are significantly influenced by the shear-thinning blood properties. Conclusively, from the obtained results, it is found that neglecting the non-Newtonian behavior could lead to underestimation of the hemodynamic parameters at low Reynolds number and overestimation of the hemodynamic parameters by increasing the Reynolds number. In addition, we provide physical insight and discussion onto the hemodynamics associated with endothelial dysfunction which plays significant role in the pathogenesis of intracranial aneurysms.
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Mahrous et al. (2021) studied this question.
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