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A Heterogeneous Multi-scale Model for Blood Flow

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 Mic...

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Detalles Bibliográficos
Autores principales: Czaja, Benjamin, Závodszky, Gábor, Hoekstra, Alfons
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304768/
http://dx.doi.org/10.1007/978-3-030-50433-5_31
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author Czaja, Benjamin
Závodszky, Gábor
Hoekstra, Alfons
author_facet Czaja, Benjamin
Závodszky, Gábor
Hoekstra, Alfons
author_sort Czaja, Benjamin
collection PubMed
description 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.
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spelling pubmed-73047682020-06-22 A Heterogeneous Multi-scale Model for Blood Flow Czaja, Benjamin Závodszky, Gábor Hoekstra, Alfons Computational Science – ICCS 2020 Article 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. 2020-05-25 /pmc/articles/PMC7304768/ http://dx.doi.org/10.1007/978-3-030-50433-5_31 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Czaja, Benjamin
Závodszky, Gábor
Hoekstra, Alfons
A Heterogeneous Multi-scale Model for Blood Flow
title A Heterogeneous Multi-scale Model for Blood Flow
title_full A Heterogeneous Multi-scale Model for Blood Flow
title_fullStr A Heterogeneous Multi-scale Model for Blood Flow
title_full_unstemmed A Heterogeneous Multi-scale Model for Blood Flow
title_short A Heterogeneous Multi-scale Model for Blood Flow
title_sort heterogeneous multi-scale model for blood flow
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304768/
http://dx.doi.org/10.1007/978-3-030-50433-5_31
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