A fast front-tracking approach and its analysis for a temporal multiscale flow problem with a fractional-order boundary growth
Zhaoyang Wang, Ping Lin, Lei Zhang

TL;DR
This paper introduces a multiscale front-tracking method for simulating blood flow coupled with slow plaque growth, employing fractional-order models and efficient numerical schemes to handle moving boundaries and memory effects.
Contribution
It develops a novel multiscale approach combining front-tracking and fractional reaction equations for artery plaque growth, with error analysis and practical implementation strategies.
Findings
The method accurately captures plaque growth dynamics.
Numerical results demonstrate efficiency and effectiveness.
Fractional order parameter influences plaque growth behavior.
Abstract
This paper is concerned with a blood flow problem coupled with a slow plaque growth at the artery wall. In the model, the micro (fast) system is the Navier-Stokes equation with a periodically applied force and the macro (slow) system is a fractional reaction equation, which is used to describe the plaque growth with memory effect. We construct an auxiliary temporal periodic problem and an effective time-average equation to approximate the original problem and analyze the approximation error of the corresponding linearized PDE (Stokes) system, where the simple front-tracking technique is used to update the slow moving boundary. An effective multiscale method is then designed based on the approximate problem and the front tracking framework. We also present a temporal finite difference scheme with a spatial continuous finite element method and analyze its temporal discrete error.…
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Thermoelastic and Magnetoelastic Phenomena · Differential Equations and Numerical Methods
