A Heterogeneous Multi-scale Model for Blood Flow

Open Access
Authors
Publication date 2020
Host editors
  • V.V. Krzhizhanovskaya
  • G. Závodszky
  • M.H. Lees
  • J.J. Dongarra
  • P.M.A. Sloot
  • S. Brissos
  • J. Teixeira
Book title Computational Science – ICCS 2020
Book subtitle 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings
ISBN
  • 9783030504328
ISBN (electronic)
  • 9783030504335
Series Lecture Notes in Computer Science
Event 20th International Conference on Computational Science, ICCS 2020
Volume | Issue number VI
Pages (from-to) 403-409
Number of pages 7
Publisher Cham: Springer
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
This research focuses on developing a heterogeneous multi-scale model (HMM) for blood flow. Two separate scales are considered in this study, a Macro-scale, which models whole blood as a continuous fluid and tracks the transport of hematocrit profiles through an advection diffusion solver. And a Micro-scale, which computes directly local diffusion coefficients and viscosities using cell resolved simulations. The coupling between these two scales also includes the use of a surrogate model, which saved local viscosity and diffusion coefficients from previously simulated local hematocrit and shear rate combinations. As the HMM model progresses fewer micro models will be spawned. This is accomplished through the surrogate by interpolating from previously computed viscosities and diffusion coefficients. The benefit of using the HMM method for blood flow is that it, along with resolving the rheology of whole blood, can be extended with other types computational models to model physiological processes like thrombus formation.
Document type Conference contribution
Note The CompBioMed2 project grant agreement No. 823712.
Language English
Published at https://doi.org/10.1007/978-3-030-50433-5_31
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