Numerical study on the energy cascade of pulsatile Newtonian and power-law flow models in an ICA bifurcation

• Main Authors: Mahrous, Samar A., Che Sidik, Nor Azwadi, Saqr, Khalid M.
• Format: Article
• Language: English
• Published: Public Library of Science 2021
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/97878/1/NorAzwadi2021_NumericalStudyOnTheEnergyCascadeOfPulsatile.pdf; http://eprints.utm.my/id/eprint/97878/; http://dx.doi.org/10.1371/journal.pone.0245775
• Institution: Universiti Teknologi Malaysia

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. Copyright: © 2021 Mahrous et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.