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A computational fluid–structure interaction model to predict the biomechanical properties of the artificial functionally graded aorta
In the present study, three layers of the ascending aorta in respect to the time and space at various blood pressures have been simulated. Two well-known commercial finite element (FE) software have used to be able to provide a range of reliable numerical results while independent on the software ty...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Portland Press Ltd.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5180251/ https://www.ncbi.nlm.nih.gov/pubmed/27836981 http://dx.doi.org/10.1042/BSR20160468 |
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author | Khosravi, Arezoo Bani, Milad Salimi Bahreinizade, Hossein Karimi, Alireza |
author_facet | Khosravi, Arezoo Bani, Milad Salimi Bahreinizade, Hossein Karimi, Alireza |
author_sort | Khosravi, Arezoo |
collection | PubMed |
description | In the present study, three layers of the ascending aorta in respect to the time and space at various blood pressures have been simulated. Two well-known commercial finite element (FE) software have used to be able to provide a range of reliable numerical results while independent on the software type. The radial displacement compared with the time as well as the peripheral stress and von Mises stress of the aorta have calculated. The aorta model was validated using the differential quadrature method (DQM) solution and, then, in order to design functionally graded materials (FGMs) with different heterogeneous indexes for the artificial vessel, two different materials have been employed. Fluid–structure interaction (FSI) simulation has been carried out on the FGM and a natural vessel of the human body. The heterogeneous index defines the variation of the length in a function. The blood pressure was considered to be a function of both the time and location. Finally, the response characteristics of functionally graded biomaterials (FGBMs) models with different values of heterogeneous material parameters were determined and compared with the behaviour of a natural vessel. The results showed a very good agreement between the numerical findings of the FGM materials and that of the natural vessel. The findings of the present study may have implications not only to understand the performance of different FGMs in bearing the stress and deformation in comparison with the natural human vessels, but also to provide information for the biomaterials expert to be able to select a suitable material as an implant for the aorta. |
format | Online Article Text |
id | pubmed-5180251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Portland Press Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-51802512017-01-09 A computational fluid–structure interaction model to predict the biomechanical properties of the artificial functionally graded aorta Khosravi, Arezoo Bani, Milad Salimi Bahreinizade, Hossein Karimi, Alireza Biosci Rep Original Papers In the present study, three layers of the ascending aorta in respect to the time and space at various blood pressures have been simulated. Two well-known commercial finite element (FE) software have used to be able to provide a range of reliable numerical results while independent on the software type. The radial displacement compared with the time as well as the peripheral stress and von Mises stress of the aorta have calculated. The aorta model was validated using the differential quadrature method (DQM) solution and, then, in order to design functionally graded materials (FGMs) with different heterogeneous indexes for the artificial vessel, two different materials have been employed. Fluid–structure interaction (FSI) simulation has been carried out on the FGM and a natural vessel of the human body. The heterogeneous index defines the variation of the length in a function. The blood pressure was considered to be a function of both the time and location. Finally, the response characteristics of functionally graded biomaterials (FGBMs) models with different values of heterogeneous material parameters were determined and compared with the behaviour of a natural vessel. The results showed a very good agreement between the numerical findings of the FGM materials and that of the natural vessel. The findings of the present study may have implications not only to understand the performance of different FGMs in bearing the stress and deformation in comparison with the natural human vessels, but also to provide information for the biomaterials expert to be able to select a suitable material as an implant for the aorta. Portland Press Ltd. 2016-12-23 /pmc/articles/PMC5180251/ /pubmed/27836981 http://dx.doi.org/10.1042/BSR20160468 Text en © 2016 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution Licence 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Papers Khosravi, Arezoo Bani, Milad Salimi Bahreinizade, Hossein Karimi, Alireza A computational fluid–structure interaction model to predict the biomechanical properties of the artificial functionally graded aorta |
title | A computational fluid–structure interaction model to predict the biomechanical properties of the artificial functionally graded aorta |
title_full | A computational fluid–structure interaction model to predict the biomechanical properties of the artificial functionally graded aorta |
title_fullStr | A computational fluid–structure interaction model to predict the biomechanical properties of the artificial functionally graded aorta |
title_full_unstemmed | A computational fluid–structure interaction model to predict the biomechanical properties of the artificial functionally graded aorta |
title_short | A computational fluid–structure interaction model to predict the biomechanical properties of the artificial functionally graded aorta |
title_sort | computational fluid–structure interaction model to predict the biomechanical properties of the artificial functionally graded aorta |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5180251/ https://www.ncbi.nlm.nih.gov/pubmed/27836981 http://dx.doi.org/10.1042/BSR20160468 |
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