Application of particle swarm optimization in inverse finite element modeling to determine the cornea´s mechanical behavior

Detalhes bibliográficos
Autor(a) principal: Magalhães, Ricardo
Data de Publicação: 2017
Outros Autores: Elsheikh, Ahmed, Büchler, Philippe, Whitford, Charles, Wang, Junjie
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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spelling 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
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