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Considerations of Blood Properties, Outlet Boundary Conditions and Energy Loss Approaches in Computational Fluid Dynamics Modeling

Despite recent development of computational fluid dynamics (CFD) research, analysis of computational fluid dynamics of cerebral vessels has several limitations. Although blood is a non-Newtonian fluid, velocity and pressure fields were computed under the assumptions of incompressible, laminar, stead...

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Detalles Bibliográficos
Autores principales: Moon, Ji Young, Suh, Dae Chul, Lee, Yong Sang, Kim, Young Woo, Lee, Joon Sang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Interventional Neuroradiology 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3955817/
https://www.ncbi.nlm.nih.gov/pubmed/24642855
http://dx.doi.org/10.5469/neuroint.2014.9.1.1
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author Moon, Ji Young
Suh, Dae Chul
Lee, Yong Sang
Kim, Young Woo
Lee, Joon Sang
author_facet Moon, Ji Young
Suh, Dae Chul
Lee, Yong Sang
Kim, Young Woo
Lee, Joon Sang
author_sort Moon, Ji Young
collection PubMed
description Despite recent development of computational fluid dynamics (CFD) research, analysis of computational fluid dynamics of cerebral vessels has several limitations. Although blood is a non-Newtonian fluid, velocity and pressure fields were computed under the assumptions of incompressible, laminar, steady-state flows and Newtonian fluid dynamics. The pulsatile nature of blood flow is not properly applied in inlet and outlet boundaries. Therefore, we present these technical limitations and discuss the possible solution by comparing the theoretical and computational studies.
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spelling pubmed-39558172014-03-18 Considerations of Blood Properties, Outlet Boundary Conditions and Energy Loss Approaches in Computational Fluid Dynamics Modeling Moon, Ji Young Suh, Dae Chul Lee, Yong Sang Kim, Young Woo Lee, Joon Sang Neurointervention Review Despite recent development of computational fluid dynamics (CFD) research, analysis of computational fluid dynamics of cerebral vessels has several limitations. Although blood is a non-Newtonian fluid, velocity and pressure fields were computed under the assumptions of incompressible, laminar, steady-state flows and Newtonian fluid dynamics. The pulsatile nature of blood flow is not properly applied in inlet and outlet boundaries. Therefore, we present these technical limitations and discuss the possible solution by comparing the theoretical and computational studies. Korean Society of Interventional Neuroradiology 2014-02 2014-02-28 /pmc/articles/PMC3955817/ /pubmed/24642855 http://dx.doi.org/10.5469/neuroint.2014.9.1.1 Text en Copyright © 2014 Korean Society of Interventional Neuroradiology http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Moon, Ji Young
Suh, Dae Chul
Lee, Yong Sang
Kim, Young Woo
Lee, Joon Sang
Considerations of Blood Properties, Outlet Boundary Conditions and Energy Loss Approaches in Computational Fluid Dynamics Modeling
title Considerations of Blood Properties, Outlet Boundary Conditions and Energy Loss Approaches in Computational Fluid Dynamics Modeling
title_full Considerations of Blood Properties, Outlet Boundary Conditions and Energy Loss Approaches in Computational Fluid Dynamics Modeling
title_fullStr Considerations of Blood Properties, Outlet Boundary Conditions and Energy Loss Approaches in Computational Fluid Dynamics Modeling
title_full_unstemmed Considerations of Blood Properties, Outlet Boundary Conditions and Energy Loss Approaches in Computational Fluid Dynamics Modeling
title_short Considerations of Blood Properties, Outlet Boundary Conditions and Energy Loss Approaches in Computational Fluid Dynamics Modeling
title_sort considerations of blood properties, outlet boundary conditions and energy loss approaches in computational fluid dynamics modeling
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3955817/
https://www.ncbi.nlm.nih.gov/pubmed/24642855
http://dx.doi.org/10.5469/neuroint.2014.9.1.1
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