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Research Article | Open Access

Artificial viscosity penalty-projection finite element approximations of non-Newtonian fluid flow for aneurysmal disease

Keqing Feng1Yingchun Shan2Guang-an Zou1( )
School of Mathematics and Statistics, Henan University, Kaifeng 475000, China
College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, China
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Abstract

In this paper, we propose a new formulation of the artificial-viscosity penalty finite element methods for solving the mathematical model of non-Newtonian blood flow, treating blood as a pseudo-plastic fluid obeying the power-law Navier-Stokes equations. The proposed schemes are based on the artificial-viscosity mixed finite element method in the spatial direction, combined with a backward-Euler scheme and penalty-projection scheme for temporal discretization. It is rigorously derived the stability and error estimates for the fully discrete schemes. Numerical examples are presented to validate the theoretical ideas and to demonstrate the effectiveness of our proposed strategies. The comparison shows that the artificial viscosity penalty-projection scheme demands less central processing unit time, as well as a slightly higher-order precision. Finally, the penalty-projection finite element scheme is successfully applied to study the influence of blood viscosity on hemodynamics in aortic aneurysms. Moreover, numerical investigations for flow patterns based on patient-specific geometric models of cerebral aneurysms through segmentation of magnetic resonance imaging have been performed. The present study clearly illustrates the importance of taking the non-Newtonian properties of blood flow within aneurysms into account when studying the risk of aneurysm rupture.

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Electronic Research Archive
Pages 6885-6921

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Cite this article:
Feng K, Shan Y, Zou G-a. Artificial viscosity penalty-projection finite element approximations of non-Newtonian fluid flow for aneurysmal disease. Electronic Research Archive, 2025, 33(11): 6885-6921. https://doi.org/10.3934/era.2025304

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Received: 30 September 2025
Revised: 30 October 2025
Accepted: 05 November 2025
Published: 17 November 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)