Modelling mechanical properties of spruce and Douglas fir timber by means of X-ray and grain angle measurements for strength grading purpose - Archive ouverte HAL Access content directly
Journal Articles European Journal of Wood and Wood Products Year : 2017

Modelling mechanical properties of spruce and Douglas fir timber by means of X-ray and grain angle measurements for strength grading purpose

(1) , (2) , (1) , (3) , (1) , (4)
1
2
3
4

Abstract

This study proposes a model using data from a scanner (X-ray and grain angle measurements) to perform strength grading. The research also includes global measurements of modulus of elasticity (obtained by vibrations and ultrasound methods), static bending stiffness and bending strength of 805 boards of Douglas fir and 437 boards of spruce. This model can be used in an industrial context since it requires low computational time. The results of this study show that the developed model gives better results than the global non-destructive measurements of the elastic modulus commonly used in the industry. It also shows that this improvement is particularly higher in the case of Douglas fir than for spruce. The comparison has been made on both the quality of the mechanical properties assessment and on the improvement of the grading process according to the European standards by using different index.
Fichier principal
Vignette du fichier
LABOMAP_EJWWP_2017_POT.pdf (3.84 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01530963 , version 1 (01-06-2017)

Licence

Attribution - ShareAlike - CC BY 4.0

Identifiers

Cite

Joffrey Viguier, Damien Bourreau, Jean-François Bocquet, Guillaume Pot, Laurent Bléron, et al.. Modelling mechanical properties of spruce and Douglas fir timber by means of X-ray and grain angle measurements for strength grading purpose. European Journal of Wood and Wood Products, 2017, 75 (4), pp.527-541. ⟨10.1007/s00107-016-1149-4⟩. ⟨hal-01530963⟩
109 View
685 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More