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Published in: European Journal of Wood and Wood Products 6/2012

01-11-2012 | Originals Originalarbeiten

Modelling of the mechanical properties of Castanea sativa Mill. structural timber by a combination of non-destructive variables and visual grading parameters

Authors: Abel Vega, Andrés Dieste, Manuel Guaita, Juan Majada, Vanessa Baño

Published in: European Journal of Wood and Wood Products | Issue 6/2012

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Abstract

Linear regression models were constructed for chestnut beams of Spanish origin (Asturias, Galicia, Catalonia and Extremadura) using the global modulus of elasticity (MOE g ) and bending strength (MOR), both obtained by destructive tests, as dependent variables, and the results of non-destructive measurements, visual grading parameters and density as independent variables. The variables selected were density, wave velocity, sample length, dynamic modulus of elasticity, maximum knot diameter in relation to height and concentrated knot diameter ratio. Linear regression models were constructed to indirectly estimate the mechanical properties of the beams. Ultrasonic velocity, density and sample length were the best predictors of MOE g (R 2 = 0.740 and 0.734 SE). Regression adjustments for MOR presented low coefficients of determination and high errors. The visual grading parameters of the beams did not play a significant role in the prediction of either MOE g or MOR.

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Metadata
Title
Modelling of the mechanical properties of Castanea sativa Mill. structural timber by a combination of non-destructive variables and visual grading parameters
Authors
Abel Vega
Andrés Dieste
Manuel Guaita
Juan Majada
Vanessa Baño
Publication date
01-11-2012
Publisher
Springer-Verlag
Published in
European Journal of Wood and Wood Products / Issue 6/2012
Print ISSN: 0018-3768
Electronic ISSN: 1436-736X
DOI
https://doi.org/10.1007/s00107-012-0626-7

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