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: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/32996
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 behaviorAplicação da otimização por enxame de partículas na modelagem inversa de elementos finitos para determinar o comportamento mecânico da córneaInverse analysisFinite element methodSwarm intelligenceHyperelastic parametersHuman corneas behaviorAnálise inversaMétodo dos elementos finitosInteligência de enxameParâmetros hiperelásticosCórneas humanas - ComportamentoParticle 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.A otimização por enxame de partículas (PSO) foi usada na modelagem por elementos finitos a fim de se prever as propriedades do material da córnea humana por meio de análise inversa. Deslocamentos experimentais foram obtidos por meio de amostras de córneas provenientes de doadores com aproximadamente 50 anos de idade, as quais sofreram pressão intra-ocular. A análise inversa via Elementos Finitos e baseada no PSO a partir de dados experimentais foi usada para determinar os parâmetros do material de córneas, utilizando como referência o modelo hiperelástico de Ogden de primeira ordem. A análise inversa por Elementos Finitos também foi executada por um programa comercial de otimização e foram encontrados os mesmos valores dos parâmetros do material, o que serviu para validar o resultado do PSO. Além disso, o número de iterações necessárias para a otimização, tanto para o PSO quanto para o programa comercial, foi comparado para avaliar a velocidade de conversão para uma solução global ótima. O estudo mostrou que as análises baseadas no PSO produziram resultados semelhantes com menos iterações para a análise inversa, o que demonstrou o potencial do PSO em controlar o processo de análise inversa para determinar as propriedades mecânicas da córnea por meio de modelagem via Elementos Finitos.Universidade Estadual de Maringá2019-02-25T11:46:54Z2019-02-25T11:46:54Z2017-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfMAGALHÃES, R. et al. Application of particle swarm optimization in inverse finite element modeling to determine the cornea ́s mechanical behavior. Acta Scientiarum. Technology, Maringá, v. 39, n. 3, p. 325-331, July/Sept. 2017.http://repositorio.ufla.br/jspui/handle/1/32996Acta Scientiarum. Technologyreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessMagalhães, RicardoElsheikh, AhmedBüchler, PhilippeWhitford, CharlesWang, Junjieeng2023-05-02T18:41:14Zoai:localhost:1/32996Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-02T18:41:14Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Application of particle swarm optimization in inverse finite element modeling to determine the cornea ́s mechanical behavior
Aplicação da otimização por enxame de partículas na modelagem inversa de elementos finitos para determinar o comportamento mecânico da córnea
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 behavior
Análise inversa
Método dos elementos finitos
Inteligência de enxame
Parâmetros hiperelásticos
Córneas humanas - Comportamento
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 behavior
Análise inversa
Método dos elementos finitos
Inteligência de enxame
Parâmetros hiperelásticos
Córneas humanas - Comportamento
topic Inverse analysis
Finite element method
Swarm intelligence
Hyperelastic parameters
Human corneas behavior
Análise inversa
Método dos elementos finitos
Inteligência de enxame
Parâmetros hiperelásticos
Córneas humanas - Comportamento
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
2019-02-25T11:46:54Z
2019-02-25T11:46:54Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv MAGALHÃES, R. et al. Application of particle swarm optimization in inverse finite element modeling to determine the cornea ́s mechanical behavior. Acta Scientiarum. Technology, Maringá, v. 39, n. 3, p. 325-331, July/Sept. 2017.
http://repositorio.ufla.br/jspui/handle/1/32996
identifier_str_mv MAGALHÃES, R. et al. Application of particle swarm optimization in inverse finite element modeling to determine the cornea ́s mechanical behavior. Acta Scientiarum. Technology, Maringá, v. 39, n. 3, p. 325-331, July/Sept. 2017.
url http://repositorio.ufla.br/jspui/handle/1/32996
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
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
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
_version_ 1815439283815710720

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