Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Khosravi, Arezoo, Bani, Milad Salimi, Bahreinizade, Hossein, Karimi, Alireza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2016
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
_version_ 1782485494524805120
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
work_keys_str_mv AT khosraviarezoo acomputationalfluidstructureinteractionmodeltopredictthebiomechanicalpropertiesoftheartificialfunctionallygradedaorta
AT banimiladsalimi acomputationalfluidstructureinteractionmodeltopredictthebiomechanicalpropertiesoftheartificialfunctionallygradedaorta
AT bahreinizadehossein acomputationalfluidstructureinteractionmodeltopredictthebiomechanicalpropertiesoftheartificialfunctionallygradedaorta
AT karimialireza acomputationalfluidstructureinteractionmodeltopredictthebiomechanicalpropertiesoftheartificialfunctionallygradedaorta
AT khosraviarezoo computationalfluidstructureinteractionmodeltopredictthebiomechanicalpropertiesoftheartificialfunctionallygradedaorta
AT banimiladsalimi computationalfluidstructureinteractionmodeltopredictthebiomechanicalpropertiesoftheartificialfunctionallygradedaorta
AT bahreinizadehossein computationalfluidstructureinteractionmodeltopredictthebiomechanicalpropertiesoftheartificialfunctionallygradedaorta
AT karimialireza computationalfluidstructureinteractionmodeltopredictthebiomechanicalpropertiesoftheartificialfunctionallygradedaorta