Mixed visual and machine grading to select Eucalyptus grandis poles into high-strength classes

Simple item page
dc.contributor.authorBrunetti, Micheleen_ZA
dc.contributor.authorAminti, Giovannien_ZA
dc.contributor.authorWessels, C. Branden_ZA
dc.contributor.authorNocetti, Michelaen_ZA
dc.date.accessioned2021-12-21T12:26:28Z
dc.date.available2021-12-21T12:26:28Z
dc.date.issued2021
dc.descriptionCITATION: 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.
dc.descriptionThe original publication is available at https://www.mdpi.com
dc.description.abstractENGLISH 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 velocityen_ZA
dc.description.urihttps://www.mdpi.com/1999-4907/12/12/1804
dc.description.versionPublisher's version
dc.format.extent12 pagesen_ZA
dc.identifier.citationBrunetti, 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.
dc.identifier.issn1999-4907 (online)
dc.identifier.otherdoi:10.3390/f12121804
dc.identifier.urihttp://hdl.handle.net/10019.1/123560
dc.language.isoen_ZAen_ZA
dc.publisherMDPIen_ZA
dc.rights.holderAuthors retain copyrighten_ZA
dc.subjectTimberen_ZA
dc.subjectEucalyptus grandisen_ZA
dc.subjectMechanical propertiesen_ZA
dc.subjectHardwood industryen_ZA
dc.titleMixed visual and machine grading to select Eucalyptus grandis poles into high-strength classesen_ZA
dc.typeArticleen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
brunetti_mixed_2021.pdf
Size:
1.34 MB
Format:
Adobe Portable Document Format
Description:
Download article
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Research Articles (Forest and Wood Science)