An efficient temporal multiscale algorithm for simulating a long-term plaque growth problem in relation to power-law blood flows

Xinyu Li, Ping Lin (Lead / Corresponding author), Weifeng Zhao (Lead / Corresponding author)

Research output: Contribution to journalArticlepeer-review

Abstract

This paper discusses the problem of non-Newtonian fluids with time multiscale characteristics, especially considering the type of power-law blood flow in a narrowed blood vessel due to plaque growth. In the vessel, the blood flow is considered as a fast-scale periodic motion, while the vessel wall grows on a slow scale. We use an auxiliary temporal periodic problem and an effective time-average equation to approximate the original problem. The approximation error is analyzed only for a largely simplified linear system, where the simple front-tracking technique is used to update the slow vessel wall growth. An effective multiscale method is then designed based on the approximation problem. The front-tracking technique also makes the implementation of the multiscale algorithm easier. Compared with the traditional direct solving process, this method shows a strong acceleration effect. Finally, we present a concrete numerical example. Through comparison, the relative error between the results of the multi-scale algorithm and the direct solving process is small, which is consistent with the theoretical analysis.

Original languageEnglish
Article number116666
Number of pages13
JournalJournal of Computational and Applied Mathematics
Volume469
Early online date4 Apr 2025
DOIs
Publication statusE-pub ahead of print - 4 Apr 2025

Keywords

  • Blood flow
  • Fluid–structure interaction
  • Non-newtonian fluid
  • Power law flow
  • Temporal multiscale

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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