Application of particle swarm optimization in inverse finite element modeling to determine the cornea´s mechanical behavior
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta scientiarum. Technology (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/29884 |
Resumo: | Particle Swarm Optimization (PSO) was foregrounded by finite element (FE) modeling to predict the material properties of the human cornea through inverse analysis. Experimental displacements have been obtained for corneas of a donor approximately 50 years old, and loaded by intraocular pressure (IOP). FE inverse analysis based on PSO determined the material parameters of the corneas with reference to first-order, Ogden hyperelastic model. FE analysis was repeated while using the commonly-used commercial optimization software HEEDS, and the rates of the same material parameters were used to validate PSO outcome. In addition, the number of optimization iterations required for PSO and HEEDS were compared to assess the speed of conversion onto a global-optimum solution. Since PSO-based analyses produced similar results with little iteration to HEEDS inverse analyses, PSO capacity in controlling the inverse analysis process to determine the cornea material properties via finite element modeling was demonstrated. |
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Acta scientiarum. Technology (Online) |
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Application of particle swarm optimization in inverse finite element modeling to determine the cornea´s mechanical behaviorinverse analysisfinite element methodswarm intelligencehyperelastic parametershuman corneas.Particle Swarm Optimization (PSO) was foregrounded by finite element (FE) modeling to predict the material properties of the human cornea through inverse analysis. Experimental displacements have been obtained for corneas of a donor approximately 50 years old, and loaded by intraocular pressure (IOP). FE inverse analysis based on PSO determined the material parameters of the corneas with reference to first-order, Ogden hyperelastic model. FE analysis was repeated while using the commonly-used commercial optimization software HEEDS, and the rates of the same material parameters were used to validate PSO outcome. In addition, the number of optimization iterations required for PSO and HEEDS were compared to assess the speed of conversion onto a global-optimum solution. Since PSO-based analyses produced similar results with little iteration to HEEDS inverse analyses, PSO capacity in controlling the inverse analysis process to determine the cornea material properties via finite element modeling was demonstrated. Universidade Estadual De Maringá2017-07-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/2988410.4025/actascitechnol.v39i3.29884Acta Scientiarum. Technology; Vol 39 No 3 (2017); 325-331Acta Scientiarum. Technology; v. 39 n. 3 (2017); 325-3311806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/29884/pdfCopyright (c) 2017 Acta Scientiarum. Technologyinfo:eu-repo/semantics/openAccessMagalhães, RicardoElsheikh, AhmedBüchler, PhilippeWhitford, CharlesWang, Junjie2017-07-14T10:09:05Zoai:periodicos.uem.br/ojs:article/29884Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2017-07-14T10:09:05Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Application of particle swarm optimization in inverse finite element modeling to determine the cornea´s mechanical behavior |
title |
Application of particle swarm optimization in inverse finite element modeling to determine the cornea´s mechanical behavior |
spellingShingle |
Application of particle swarm optimization in inverse finite element modeling to determine the cornea´s mechanical behavior Magalhães, Ricardo inverse analysis finite element method swarm intelligence hyperelastic parameters human corneas. |
title_short |
Application of particle swarm optimization in inverse finite element modeling to determine the cornea´s mechanical behavior |
title_full |
Application of particle swarm optimization in inverse finite element modeling to determine the cornea´s mechanical behavior |
title_fullStr |
Application of particle swarm optimization in inverse finite element modeling to determine the cornea´s mechanical behavior |
title_full_unstemmed |
Application of particle swarm optimization in inverse finite element modeling to determine the cornea´s mechanical behavior |
title_sort |
Application of particle swarm optimization in inverse finite element modeling to determine the cornea´s mechanical behavior |
author |
Magalhães, Ricardo |
author_facet |
Magalhães, Ricardo Elsheikh, Ahmed Büchler, Philippe Whitford, Charles Wang, Junjie |
author_role |
author |
author2 |
Elsheikh, Ahmed Büchler, Philippe Whitford, Charles Wang, Junjie |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Magalhães, Ricardo Elsheikh, Ahmed Büchler, Philippe Whitford, Charles Wang, Junjie |
dc.subject.por.fl_str_mv |
inverse analysis finite element method swarm intelligence hyperelastic parameters human corneas. |
topic |
inverse analysis finite element method swarm intelligence hyperelastic parameters human corneas. |
description |
Particle Swarm Optimization (PSO) was foregrounded by finite element (FE) modeling to predict the material properties of the human cornea through inverse analysis. Experimental displacements have been obtained for corneas of a donor approximately 50 years old, and loaded by intraocular pressure (IOP). FE inverse analysis based on PSO determined the material parameters of the corneas with reference to first-order, Ogden hyperelastic model. FE analysis was repeated while using the commonly-used commercial optimization software HEEDS, and the rates of the same material parameters were used to validate PSO outcome. In addition, the number of optimization iterations required for PSO and HEEDS were compared to assess the speed of conversion onto a global-optimum solution. Since PSO-based analyses produced similar results with little iteration to HEEDS inverse analyses, PSO capacity in controlling the inverse analysis process to determine the cornea material properties via finite element modeling was demonstrated. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-07-06 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/29884 10.4025/actascitechnol.v39i3.29884 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/29884 |
identifier_str_mv |
10.4025/actascitechnol.v39i3.29884 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/29884/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Acta Scientiarum. Technology info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Acta Scientiarum. Technology |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Technology; Vol 39 No 3 (2017); 325-331 Acta Scientiarum. Technology; v. 39 n. 3 (2017); 325-331 1806-2563 1807-8664 reponame:Acta scientiarum. Technology (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta scientiarum. Technology (Online) |
collection |
Acta scientiarum. Technology (Online) |
repository.name.fl_str_mv |
Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
||actatech@uem.br |
_version_ |
1799315336310292480 |