Particle image velocimetry and digital image correlation for determining the elasticity modulus in wood

Detalhes bibliográficos
Autor(a) principal: Lima,Cássio Humberto
Data de Publicação: 2022
Outros Autores: Gomes,Francisco Carlos, Pereira,Rodrigo Allan, Rivera,Fernando Pujaico
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162022000600101
Resumo: ABSTRACT: 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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spelling Particle image velocimetry and digital image correlation for determining the elasticity modulus in woodnon-destructive testselastic modulusdisplacementsABSTRACT: 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.Escola Superior de Agricultura "Luiz de Queiroz"2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162022000600101Scientia Agricola v.79 n.6 2022reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/1678-992x-2020-0297info:eu-repo/semantics/openAccessLima,Cássio HumbertoGomes,Francisco CarlosPereira,Rodrigo AllanRivera,Fernando Pujaicoeng2021-10-29T00:00:00Zoai:scielo:S0103-90162022000600101Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2021-10-29T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)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
displacements
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
displacements
topic non-destructive tests
elastic modulus
displacements
description ABSTRACT: 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 2022-01-01
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=S0103-90162022000600101
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162022000600101
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-992x-2020-0297
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 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 v.79 n.6 2022
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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