Particle image velocimetry and digital image correlation for determining the elasticity modulus in wood
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/51682 |
Resumo: | Several non-destructive testing techniques have been improved and tested in recent years. The non-destructive testing techniques using particle image velocimetry (PIV) and digital image correlation (DIC) differ from conventional testing techniques, as they allow making measurements indirectly. In this study, the elastic modulus in wood beams of Eucalyptus grandis and Pinus oocarpa were determined using PIV and DIC. The application of PIV and DIC techniques occurred during the static bending tests, when the displacements were also measured by the conventional method. The applied load values allowed calculating the elasticity modulus. In all regions of analysis, the mean values of the elasticity modulus found by the DIC, PIV and conventional method are statistically equivalent. It is concluded that the PIV and DIC testing techniques can be used to determine mechanical properties of wood. |
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Particle image velocimetry and digital image correlation for determining the elasticity modulus in woodNon-destructive testsElastic modulusParticle image velocimetryDigital image correlationTestes não destrutivosMódulo elásticoVelocimetria de imagem de partículasCorrelação de imagem digitalSeveral non-destructive testing techniques have been improved and tested in recent years. The non-destructive testing techniques using particle image velocimetry (PIV) and digital image correlation (DIC) differ from conventional testing techniques, as they allow making measurements indirectly. In this study, the elastic modulus in wood beams of Eucalyptus grandis and Pinus oocarpa were determined using PIV and DIC. The application of PIV and DIC techniques occurred during the static bending tests, when the displacements were also measured by the conventional method. The applied load values allowed calculating the elasticity modulus. In all regions of analysis, the mean values of the elasticity modulus found by the DIC, PIV and conventional method are statistically equivalent. It is concluded that the PIV and DIC testing techniques can be used to determine mechanical properties of wood.Escola Superior de Agricultura "Luiz de Queiroz"2022-08-17T22:27:10Z2022-08-17T22:27:10Z2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfLIMA, C. H. et al. Particle image velocimetry and digital image correlation for determining the elasticity modulus in wood. Scientia Agricola, Piracicaba, v. 79, n. 6, e20200297, 2022. DOI: 10.1590/1678-992X-2020-0297.http://repositorio.ufla.br/jspui/handle/1/51682Scientia Agricolareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessLima, Cássio HumbertoGomes, Francisco CarlosPereira, Rodrigo AllanRivera, Fernando Pujaicoeng2022-08-17T22:27:10Zoai:localhost:1/51682Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2022-08-17T22:27:10Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Particle image velocimetry and digital image correlation for determining the elasticity modulus in wood |
title |
Particle image velocimetry and digital image correlation for determining the elasticity modulus in wood |
spellingShingle |
Particle image velocimetry and digital image correlation for determining the elasticity modulus in wood Lima, Cássio Humberto Non-destructive tests Elastic modulus Particle image velocimetry Digital image correlation Testes não destrutivos Módulo elástico Velocimetria de imagem de partículas Correlação de imagem digital |
title_short |
Particle image velocimetry and digital image correlation for determining the elasticity modulus in wood |
title_full |
Particle image velocimetry and digital image correlation for determining the elasticity modulus in wood |
title_fullStr |
Particle image velocimetry and digital image correlation for determining the elasticity modulus in wood |
title_full_unstemmed |
Particle image velocimetry and digital image correlation for determining the elasticity modulus in wood |
title_sort |
Particle image velocimetry and digital image correlation for determining the elasticity modulus in wood |
author |
Lima, Cássio Humberto |
author_facet |
Lima, Cássio Humberto Gomes, Francisco Carlos Pereira, Rodrigo Allan Rivera, Fernando Pujaico |
author_role |
author |
author2 |
Gomes, Francisco Carlos Pereira, Rodrigo Allan Rivera, Fernando Pujaico |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Lima, Cássio Humberto Gomes, Francisco Carlos Pereira, Rodrigo Allan Rivera, Fernando Pujaico |
dc.subject.por.fl_str_mv |
Non-destructive tests Elastic modulus Particle image velocimetry Digital image correlation Testes não destrutivos Módulo elástico Velocimetria de imagem de partículas Correlação de imagem digital |
topic |
Non-destructive tests Elastic modulus Particle image velocimetry Digital image correlation Testes não destrutivos Módulo elástico Velocimetria de imagem de partículas Correlação de imagem digital |
description |
Several non-destructive testing techniques have been improved and tested in recent years. The non-destructive testing techniques using particle image velocimetry (PIV) and digital image correlation (DIC) differ from conventional testing techniques, as they allow making measurements indirectly. In this study, the elastic modulus in wood beams of Eucalyptus grandis and Pinus oocarpa were determined using PIV and DIC. The application of PIV and DIC techniques occurred during the static bending tests, when the displacements were also measured by the conventional method. The applied load values allowed calculating the elasticity modulus. In all regions of analysis, the mean values of the elasticity modulus found by the DIC, PIV and conventional method are statistically equivalent. It is concluded that the PIV and DIC testing techniques can be used to determine mechanical properties of wood. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-17T22:27:10Z 2022-08-17T22:27:10Z 2022 |
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 |
LIMA, C. H. et al. Particle image velocimetry and digital image correlation for determining the elasticity modulus in wood. Scientia Agricola, Piracicaba, v. 79, n. 6, e20200297, 2022. DOI: 10.1590/1678-992X-2020-0297. http://repositorio.ufla.br/jspui/handle/1/51682 |
identifier_str_mv |
LIMA, C. H. et al. Particle image velocimetry and digital image correlation for determining the elasticity modulus in wood. Scientia Agricola, Piracicaba, v. 79, n. 6, e20200297, 2022. DOI: 10.1590/1678-992X-2020-0297. |
url |
http://repositorio.ufla.br/jspui/handle/1/51682 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 4.0 International 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 |
Escola Superior de Agricultura "Luiz de Queiroz" |
publisher.none.fl_str_mv |
Escola Superior de Agricultura "Luiz de Queiroz" |
dc.source.none.fl_str_mv |
Scientia Agricola 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_ |
1815439007159418880 |