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A novel porous media-based approach to outflow boundary resistances of 1D arterial blood flow models

Alberto Coccarelli Orcid Logo, Arul Prakash, Perumal Nithiarasu Orcid Logo

Biomechanics and Modeling in Mechanobiology, Volume: 18, Issue: 4, Pages: 939 - 951

Swansea University Authors: Alberto Coccarelli Orcid Logo, Perumal Nithiarasu Orcid Logo

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DOI (Published version): 10.1007/s10237-019-01122-8

Abstract

In this paper we introduce a novel method for prescribing terminal boundary conditions in one-dimensional arterial flow networks. This is carried out by coupling the terminal arterial vessel with a poro-elastic tube, representing the flow resistance offered by microcirculation. The performance of th...

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Published in: Biomechanics and Modeling in Mechanobiology
ISSN: 1617-7959 1617-7940
Published: Springer Science and Business Media LLC 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa48329
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first_indexed 2019-01-22T14:03:21Z
last_indexed 2020-10-20T02:58:12Z
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spelling 2020-10-19T14:36:27.4969086 v2 48329 2019-01-22 A novel porous media-based approach to outflow boundary resistances of 1D arterial blood flow models 06fd3332e5eb3cf4bb4e75a24f49149d 0000-0003-1511-9015 Alberto Coccarelli Alberto Coccarelli true false 3b28bf59358fc2b9bd9a46897dbfc92d 0000-0002-4901-2980 Perumal Nithiarasu Perumal Nithiarasu true false 2019-01-22 MECH In this paper we introduce a novel method for prescribing terminal boundary conditions in one-dimensional arterial flow networks. This is carried out by coupling the terminal arterial vessel with a poro-elastic tube, representing the flow resistance offered by microcirculation. The performance of the proposed porous media-based model has been investigated through several different numerical examples. First, we investigate model parameters that have a profound influence on the flow and pressure distributions of the system. The simulation results have been compared against the waveforms generated by three elements (RCR) Windkessel model. The proposed model is also integrated into a realistic arterial tree, and the results obtained have been compared against experimental data at different locations of the network. The accuracy and simplicity of the proposed model demonstrates that it can be an excellent alternative for the existing models. Journal Article Biomechanics and Modeling in Mechanobiology 18 4 939 951 Springer Science and Business Media LLC 1617-7959 1617-7940 1 8 2019 2019-08-01 10.1007/s10237-019-01122-8 COLLEGE NANME Mechanical Engineering COLLEGE CODE MECH Swansea University 2020-10-19T14:36:27.4969086 2019-01-22T11:33:05.6366042 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Alberto Coccarelli 0000-0003-1511-9015 1 Arul Prakash 2 Perumal Nithiarasu 0000-0002-4901-2980 3 48329__17611__a0206e47abaf434198fc9b12db86accd.pdf coccarelli2019searchable.pdf 2020-06-30T17:13:34.7154143 Output 2537988 application/pdf Enhanced Version of Record true This article is distributed under the terms of the Creative Commons Attribution 4.0 International License true http://creativecommons.org/licenses/by/4.0/
title A novel porous media-based approach to outflow boundary resistances of 1D arterial blood flow models
spellingShingle A novel porous media-based approach to outflow boundary resistances of 1D arterial blood flow models
Alberto Coccarelli
Perumal Nithiarasu
title_short A novel porous media-based approach to outflow boundary resistances of 1D arterial blood flow models
title_full A novel porous media-based approach to outflow boundary resistances of 1D arterial blood flow models
title_fullStr A novel porous media-based approach to outflow boundary resistances of 1D arterial blood flow models
title_full_unstemmed A novel porous media-based approach to outflow boundary resistances of 1D arterial blood flow models
title_sort A novel porous media-based approach to outflow boundary resistances of 1D arterial blood flow models
author_id_str_mv 06fd3332e5eb3cf4bb4e75a24f49149d
3b28bf59358fc2b9bd9a46897dbfc92d
author_id_fullname_str_mv 06fd3332e5eb3cf4bb4e75a24f49149d_***_Alberto Coccarelli
3b28bf59358fc2b9bd9a46897dbfc92d_***_Perumal Nithiarasu
author Alberto Coccarelli
Perumal Nithiarasu
author2 Alberto Coccarelli
Arul Prakash
Perumal Nithiarasu
format Journal article
container_title Biomechanics and Modeling in Mechanobiology
container_volume 18
container_issue 4
container_start_page 939
publishDate 2019
institution Swansea University
issn 1617-7959
1617-7940
doi_str_mv 10.1007/s10237-019-01122-8
publisher Springer Science and Business Media LLC
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 1
active_str 0
description In this paper we introduce a novel method for prescribing terminal boundary conditions in one-dimensional arterial flow networks. This is carried out by coupling the terminal arterial vessel with a poro-elastic tube, representing the flow resistance offered by microcirculation. The performance of the proposed porous media-based model has been investigated through several different numerical examples. First, we investigate model parameters that have a profound influence on the flow and pressure distributions of the system. The simulation results have been compared against the waveforms generated by three elements (RCR) Windkessel model. The proposed model is also integrated into a realistic arterial tree, and the results obtained have been compared against experimental data at different locations of the network. The accuracy and simplicity of the proposed model demonstrates that it can be an excellent alternative for the existing models.
published_date 2019-08-01T03:58:43Z
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score 11.017797

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