1. Prediction of Oak Wood Mechanical Properties Based on the Statistical Exploitation of Vibrational Response
- Author
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Younes Faydi, Robert Collet, Guillaume Pot, Loïc Brancheriau, Laboratoire Bourguignon des Matériaux et Procédés (LABOMAP), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), and Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)
- Subjects
K50 - Technologie des produits forestiers ,0106 biological sciences ,Engineering ,Young's modulus ,01 natural sciences ,Eigen frequency ,partial least squares ,Partial least squares regression ,Waste Management and Disposal ,media_common ,biology ,Mécanique: Mécanique des solides [Sciences de l'ingénieur] ,04 agricultural and veterinary sciences ,Structural engineering ,wood mechanical properties ,Propriété technologique ,Méthode alternative ,symbols ,Transversal vibration ,Quercus petraea ,Quercus robur ,Environmental Engineering ,Testage non destructif ,Bioengineering ,[SPI.MECA.SOLID]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Solid mechanics [physics.class-ph] ,Vibration ,symbols.namesake ,Flexural strength ,oak ,010608 biotechnology ,stepwise regression ,media_common.cataloged_instance ,acoustique ,European union ,Propriété physicochimique ,040101 forestry ,business.industry ,biology.organism_classification ,Propriété mécanique ,0401 agriculture, forestry, and fisheries ,U30 - Méthodes de recherche ,business ,vibration test - Abstract
International audience; In the European Union, timber is used in structural applications and must be graded with a Conformité Européene (CE) mark. To achieve standard, machine strength grading is used. A common technology for these machines is based on using the vibrational response of each wood board to estimate the timber modulus of elasticity and modulus of rupture. The first Eigen frequency is usually used to predict these mechanical properties. However, in heterogeneous wood species such as oak, this parameter is less correlated with mechanical properties. The current study proposes two new methods based on an extended exploitation of the vibrational response that predicts oak wood mechanical properties. The first method was based on the mechanical parameters deduced from several Eigen frequencies that were chosen with regards to a stepwise regression. The second method was based on the full vibrational spectrum and used a partial least squares method. The first method slightly improved the prediction of the modulus of elasticity compared with the first Eigen frequency in edgewise transversal vibration. Both methods significantly improved the prediction of the modulus of rupture.
- Published
- 2017