A fast front-tracking approach and its analysis for a temporal multiscale flow problem with a fractional-order boundary growth

Zhaoyang Wang, P. Lin, Lei Zhang
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引用次数: 1

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. Furthermore, a fast iterative procedure is designed to find the initial value of the temporal periodic problem and its convergence is analyzed as well. Our designed front-tracking framework and the iterative procedure for solving the temporal periodic problem make it easy to implement the multiscale method on existing PDE solving software. The numerical method is implemented by a combination of the finite element platform COMSOL Multiphysics and the mainstream software MATLAB, which significantly reduce the programming effort and easily handle the fluid-structure interaction, especially moving boundaries with more complex geometries. We present some numerical examples of ODEs and 2-D Navier-Stokes system to demonstrate the effectiveness of the multiscale method. Finally, we have a numerical experiment on the plaque growth problem and discuss the physical implication of the fractional order parameter.
具有分数阶边界增长的时间多尺度流动问题的快速前沿跟踪方法及其分析
这篇论文是关于一个血流问题,加上一个缓慢的斑块生长在动脉壁。在模型中,微观(快)系统为周期性施加力的Navier-Stokes方程,宏观(慢)系统为分数反应方程,用于描述具有记忆效应的斑块生长。我们构造了一个辅助的时间周期问题和一个有效的时间平均方程来逼近原问题,并分析了相应的线性化PDE (Stokes)系统的逼近误差,其中使用简单的前跟踪技术来更新慢动边界。在此基础上,设计了一种有效的多尺度方法。提出了一种基于空间连续有限元的时间有限差分格式,并对其时间离散误差进行了分析。设计了求解时间周期问题初值的快速迭代方法,并对其收敛性进行了分析。我们设计的前跟踪框架和求解时间周期问题的迭代过程使多尺度方法易于在现有的PDE求解软件上实现。该数值方法采用COMSOL Multiphysics有限元平台和主流软件MATLAB相结合的方法实现,大大减少了编程工作量,并且易于处理流固耦合,特别是具有更复杂几何形状的移动边界。最后给出了二阶微分方程和二维Navier-Stokes系统的数值算例,验证了多尺度方法的有效性。最后,我们对斑块生长问题进行了数值实验,并讨论了分数阶参数的物理含义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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