Estimation of mechanical properties in Eucalyptus woods towards physical and anatomical parameters
•Regression models are accurate to estimate mechanical properties of eucalypts for construction.•Optical microscopy may predict MOE, compression strength and shear stress parallel to the grain.•Bulk density and height of rays are essential parameters to predict mechanical properties of eucalypts. Th...
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Veröffentlicht in: | Construction & building materials 2022-10, Vol.352, p.128824, Article 128824 |
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Sprache: | eng |
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Zusammenfassung: | •Regression models are accurate to estimate mechanical properties of eucalypts for construction.•Optical microscopy may predict MOE, compression strength and shear stress parallel to the grain.•Bulk density and height of rays are essential parameters to predict mechanical properties of eucalypts.
There is a perceptible opportunity to utilize eucalypts in value-added wooden products with structural features for construction. But, tests to determine the wood properties require specific equipment and technical training. As alternative, the study utilized optical microscopy to measure some anatomical elements of 10 eucalypt varieties to estimate their mechanical properties in line with anatomical parameters and bulk densities using regression models. Eight anatomical properties about constituent sizes and six mechanical properties about compression behaviors were evaluated. Regression models were positively conclusive, as R2 values were 94.15, 92.95 and 77.77 for the modulus of elasticity in compression parallel, compression parallel strength and shear stress parallel to the grain, respectively. |
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ISSN: | 0950-0618 1879-0526 |
DOI: | 10.1016/j.conbuildmat.2022.128824 |