Mixed visual and machine grading to select Eucalyptus grandis poles into high-strength classes
Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Abstract
ENGLISH ABSTRACT: Before round timber can be profitably used in construction, it needs structural characterization. The visual grading of Eucalyptus grandis poles was integrated with additional parameters
developed by multivariate regression analysis. Acoustic velocity and dynamic modulus of elasticity
were combined with density and pole diameter in the estimation of bending strength and stiffness.
The best models achieved were used to group the visually graded material into qualitative structural
classes. Overall, dynamic modulus of elasticity was the best single predictor; and adding density
and diameter to the model improved the estimation of strength but not of stiffness. The developed
parameters separated the material into two classes with very distinct mechanical properties. The
models including velocity as a parameter did not perform as well. The strength grading of Eucalyptus
grandis poles can be effectively improved by combining visual parameters and nondestructive measurements. The determination of the dynamic modulus of elasticity as a grading parameter should
be preferred over that of acoustic velocity
Description
CITATION: Brunetti, M. et al. 2021. Mixed visual and machine grading to select Eucalyptus grandis poles into high-strength classes. Forests, 12:1804, doi:10.3390/f12121804.
The original publication is available at https://www.mdpi.com
The original publication is available at https://www.mdpi.com
Keywords
Timber, Eucalyptus grandis, Mechanical properties, Hardwood industry
Citation
Brunetti, M. et al. 2021. Mixed visual and machine grading to select Eucalyptus grandis poles into high-strength classes. Forests, 12:1804, doi:10.3390/f12121804.