Publication

Modulus of elasticity prediction through transversal vibration in cantilever beams and ultrasound technique of different wood species

Acuña, Luis
Martínez, Roberto
Spavento, Eleana
Casado, Milagros
Álvarez-Martínez, Javier
O'Ceallaigh, Conan
Harte, Annette M.
Balmori, Jose-Antonio
Citation
Acuña, Luis, Martínez, Roberto, Spavento, Eleana, Casado, Milagros, Álvarez-Martínez, Javier, O'Ceallaigh, Conan, Harte, Annette M., Balmori, Jose-Antonio. (2023). Modulus of elasticity prediction through transversal vibration in cantilever beams and ultrasound technique of different wood species. Construction and Building Materials, 371, 130750. doi:https://doi.org/10.1016/j.conbuildmat.2023.130750
Abstract
The 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%.
Funder
Junta de Castilla y León
European Regional Development Fund
Universidad de Valladolid
Publisher
Elsevier
Publisher DOI
10.1016/j.conbuildmat.2023.130750
Rights
CC BY-NC-ND 3.0 IE