The lattice Boltzmann based large eddy simulations for the stenosis of the aorta

Xiao Xue, Jon W.S. McCullough, Sharp C.Y. Lo, Ioannis Zacharoudiou, Bálint Joó, Peter V. Coveney*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Large eddy simulations (LES) are extensively employed in aerodynamics-related industrial research and applications. However, the application of lattice Boltzmann based LES techniques in vascular blood flow research is less extensively documented. This study investigates the feasibility of employing lattice Boltzmann based large eddy simulation techniques, specifically the Smagorinsky-based subgrid scale turbulence model, for simulating high Reynolds number blood flow at a coarse-grained resolution. Initially, a stenotic channel flow simulation is conducted, with results undergoing validation against existing experimental data and direct numerical simulation results, showing strong agreement for both. Subsequently, our model is applied to simulate aortic stenosis at a resolution of 100 μm, demonstrating the capability to model high Reynolds numbers around 4500, despite such flows conventionally requiring a resolution of around 20 μm. These results underscore the substantial promise of utilising LES techniques in blood flow simulations, benefiting not just the lattice Boltzmann method but also enlightening the broader computational fluid dynamics community. This approach offers advantages for large-scale human simulations at coarser resolutions.

Original languageEnglish
Title of host publicationComputational Science – ICCS 2024 - 24th International Conference, 2024, Proceedings
EditorsLeonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
PublisherSpringer Science and Business Media Deutschland GmbH
Pages408-420
Number of pages13
ISBN (Print)9783031637742
DOIs
Publication statusPublished - 28 Jun 2024
Externally publishedYes
Event24th International Conference on Computational Science, ICCS 2024 - Malaga, Spain
Duration: 02 Jul 202404 Jul 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14836 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th International Conference on Computational Science, ICCS 2024
Country/TerritorySpain
CityMalaga
Period02/07/202404/07/2024

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • Large-eddy simulations
  • lattice Boltzmann method
  • stenosis of the aorta
  • turbulent flow

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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