Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization

Detalhes bibliográficos
Autor(a) principal: Vianna,Rafael da S.
Data de Publicação: 2023
Outros Autores: Pereira,André M.B., Leiderman,Ricardo, Vieira,Janine D.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Materials research (São Carlos. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392023000100204
Resumo: Abstract The aim of this work is to determine effective elastic properties of pultruded Glass Fiber Reinforced Polymer using micro-CT in conjunction with a two-step numerical homogenization technique. The two-step homogenization involves the segmentation of the material’s layers, which was made here by means of a machine learning approach. The segmentation was validated through the comparison between the phase’s volume fractions of samples obtained from the segmented images and laboratory tests. Further, a standard accuracy analysis in a 10-fold cross validation was performed. The samples’ effective axial Young’s modulus obtained by our numerical homogenization were compared to results obtained from experimental tests. For both the experimental tests and the image-based numerical analysis we considered samples extracted from the same profile. The two-step methodology allowed the homogenization of large volumes of the composite corresponding to the whole thickness of the profile, imaged with a high resolution. In addition to the axial effective Young’s modulus, our methodology was also able to successfully provide all the other elastic properties along the three orthogonal directions, even the ones that are arduous to be obtained in laboratory setups.
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spelling Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step HomogenizationGlass Fiber Reinforced PolymerNumerical HomogenizationNon-destructive testingImage SegmentationFinite Element MethodMicro-CTAbstract The aim of this work is to determine effective elastic properties of pultruded Glass Fiber Reinforced Polymer using micro-CT in conjunction with a two-step numerical homogenization technique. The two-step homogenization involves the segmentation of the material’s layers, which was made here by means of a machine learning approach. The segmentation was validated through the comparison between the phase’s volume fractions of samples obtained from the segmented images and laboratory tests. Further, a standard accuracy analysis in a 10-fold cross validation was performed. The samples’ effective axial Young’s modulus obtained by our numerical homogenization were compared to results obtained from experimental tests. For both the experimental tests and the image-based numerical analysis we considered samples extracted from the same profile. The two-step methodology allowed the homogenization of large volumes of the composite corresponding to the whole thickness of the profile, imaged with a high resolution. In addition to the axial effective Young’s modulus, our methodology was also able to successfully provide all the other elastic properties along the three orthogonal directions, even the ones that are arduous to be obtained in laboratory setups.ABM, ABC, ABPol2023-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392023000100204Materials Research v.26 2023reponame:Materials research (São Carlos. Online)instname:Universidade Federal de São Carlos (UFSCAR)instacron:ABM ABC ABPOL10.1590/1980-5373-mr-2022-0252info:eu-repo/semantics/openAccessVianna,Rafael da S.Pereira,André M.B.Leiderman,RicardoVieira,Janine D.eng2022-12-06T00:00:00Zoai:scielo:S1516-14392023000100204Revistahttp://www.scielo.br/mrPUBhttps://old.scielo.br/oai/scielo-oai.phpdedz@power.ufscar.br1980-53731516-1439opendoar:2022-12-06T00:00Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR)false
dc.title.none.fl_str_mv Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization
title Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization
spellingShingle Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization
Vianna,Rafael da S.
Glass Fiber Reinforced Polymer
Numerical Homogenization
Non-destructive testing
Image Segmentation
Finite Element Method
Micro-CT
title_short Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization
title_full Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization
title_fullStr Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization
title_full_unstemmed Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization
title_sort Characterization of Pultruded Glass-Fiber Reinforced Polymers with Two-Step Homogenization
author Vianna,Rafael da S.
author_facet Vianna,Rafael da S.
Pereira,André M.B.
Leiderman,Ricardo
Vieira,Janine D.
author_role author
author2 Pereira,André M.B.
Leiderman,Ricardo
Vieira,Janine D.
author2_role author
author
author
dc.contributor.author.fl_str_mv Vianna,Rafael da S.
Pereira,André M.B.
Leiderman,Ricardo
Vieira,Janine D.
dc.subject.por.fl_str_mv Glass Fiber Reinforced Polymer
Numerical Homogenization
Non-destructive testing
Image Segmentation
Finite Element Method
Micro-CT
topic Glass Fiber Reinforced Polymer
Numerical Homogenization
Non-destructive testing
Image Segmentation
Finite Element Method
Micro-CT
description Abstract The aim of this work is to determine effective elastic properties of pultruded Glass Fiber Reinforced Polymer using micro-CT in conjunction with a two-step numerical homogenization technique. The two-step homogenization involves the segmentation of the material’s layers, which was made here by means of a machine learning approach. The segmentation was validated through the comparison between the phase’s volume fractions of samples obtained from the segmented images and laboratory tests. Further, a standard accuracy analysis in a 10-fold cross validation was performed. The samples’ effective axial Young’s modulus obtained by our numerical homogenization were compared to results obtained from experimental tests. For both the experimental tests and the image-based numerical analysis we considered samples extracted from the same profile. The two-step methodology allowed the homogenization of large volumes of the composite corresponding to the whole thickness of the profile, imaged with a high resolution. In addition to the axial effective Young’s modulus, our methodology was also able to successfully provide all the other elastic properties along the three orthogonal directions, even the ones that are arduous to be obtained in laboratory setups.
publishDate 2023
dc.date.none.fl_str_mv 2023-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392023000100204
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392023000100204
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1980-5373-mr-2022-0252
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv ABM, ABC, ABPol
publisher.none.fl_str_mv ABM, ABC, ABPol
dc.source.none.fl_str_mv Materials Research v.26 2023
reponame:Materials research (São Carlos. Online)
instname:Universidade Federal de São Carlos (UFSCAR)
instacron:ABM ABC ABPOL
instname_str Universidade Federal de São Carlos (UFSCAR)
instacron_str ABM ABC ABPOL
institution ABM ABC ABPOL
reponame_str Materials research (São Carlos. Online)
collection Materials research (São Carlos. Online)
repository.name.fl_str_mv Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR)
repository.mail.fl_str_mv dedz@power.ufscar.br
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