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dc.contributor.authorAcuña Rello, Luis 
dc.contributor.authorMartínez López, Roberto Diego 
dc.contributor.authorSpavento, Eleana
dc.contributor.authorCasado Sanz, María Milagrosa 
dc.contributor.authorÁlvarez Martínez, Javier 
dc.contributor.authorO'Ceallaigh, Conan
dc.contributor.authorM. Harte, Annette
dc.contributor.authorBalmori Roiz, José Antonio 
dc.contributor.editorElsevieres
dc.date.accessioned2023-03-01T11:55:57Z
dc.date.available2023-03-01T11:55:57Z
dc.date.issued2023
dc.identifier.citationConstruction and Building Materials, Volume 371, 2023, 130750es
dc.identifier.issn0950-0618es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/58806
dc.descriptionProducción Científicaes
dc.description.abstractThe prediction of the modulus of elasticity (MOE) of five species of different spectrum density woods, namely, Populus × euramericana I-214 (Poplar), Fagus sylvatica L. (Beech), Quercus pyrenaica L. (Oak), Paulownia elongata S.Y.Hu (Paulownia) and Pinus sylvestris L. (Scots pine) were examined through the natural frequency of vibration on cantilevered beams (transverse direction) and ultrasound (longitudinal direction). Cantilever beams are commonly used for other materials but limited information is available for wood materials tested in this manner. A total of 60 specimens with nominal dimensions of 40 × 60 × 1200 mm3 were tested, which were visually graded according to UNE 56544:2022 and UNE 56546:2022 as first class, and finally the global bending stiffness was obtained from a four-point bending test. Utilising this data, a regression model was presented to predict the MOE. Also, Picea sitchensis Trautv. & G.Mey (Sitka spruce) has been chosen as a blind species in order to validate the regression model of prediction of the MOE as a function of the dynamic MOE by ultrasound. Bending strength, modulus of elasticity and density were obtained according to the EN 408. In the prediction model using the dynamic MOE with vibrations, an r2 of 95.9% was achieved for the induced vibration technique which was found to be slightly higher than the model for the ultrasound prediction which had an r2 of 93.7%.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMaderaes
dc.subject.classificationTimberes
dc.subject.classificationNon-destructive testing techniqueses
dc.subject.classificationUltrasounds Transversal vibrationes
dc.subject.classificationDynamic modulus of elasticityes
dc.subject.classificationMaderaes
dc.subject.classificationTécnicas de ensayos no destructivoses
dc.subject.classificationUltrasonidos vibraciones transversaleses
dc.subject.classificationMódulo dinámico de elasticidades
dc.titleModulus of elasticity prediction through transversal vibration in cantilever beams and ultrasound technique of different wood specieses
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2023 The Authorses
dc.identifier.doi10.1016/j.conbuildmat.2023.130750es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0950061823004610?via%3Dihubes
dc.description.projectJunta de Castilla y León- FEDER (VA095P17 y VA228P20)es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones
dc.subject.unesco3106 Ciencia Forestales


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