dc.creatorLima, Cássio Humberto
dc.creatorGomes, Francisco Carlos
dc.creatorPereira, Rodrigo Allan
dc.creatorRivera, Fernando Pujaico
dc.date2022-08-17T22:27:10Z
dc.date2022-08-17T22:27:10Z
dc.date2022
dc.date.accessioned2023-09-28T20:08:03Z
dc.date.available2023-09-28T20:08:03Z
dc.identifierLIMA, 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.
dc.identifierhttp://repositorio.ufla.br/jspui/handle/1/51682
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9045261
dc.descriptionSeveral 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.
dc.formatapplication/pdf
dc.languageen_US
dc.publisherEscola Superior de Agricultura "Luiz de Queiroz"
dc.rightsAttribution 4.0 International
dc.rightsacesso aberto
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.sourceScientia Agricola
dc.subjectNon-destructive tests
dc.subjectElastic modulus
dc.subjectParticle image velocimetry
dc.subjectDigital image correlation
dc.subjectTestes não destrutivos
dc.subjectMódulo elástico
dc.subjectVelocimetria de imagem de partículas
dc.subjectCorrelação de imagem digital
dc.titleParticle image velocimetry and digital image correlation for determining the elasticity modulus in wood
dc.typeArtigo


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