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: | 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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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_ |
1807835192112447488 |