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.
Zusammenfassung
Die Biegefestigkeit (MOR) und der globale Elastizitätsmodul (MOEg) von Kastanienschnittholz spanischer Herkunft (Asturien, Galizien, Katalonien und Extremadura) für Bauzwecke wurden mittels visueller und zerstörungsfreier Verfahren über Regressionsanalysen bestimmt. Elastizitätsmodul und Biegefestigkeit wurden als abhängige Variablen experimentell bestimmt. Als Sortierparameter wurden die Dichte, die Ultraschallgeschwindigkeit, die Prüfkörperlänge, der dynamische E-Modul, der auf die Höhe bezogene maximale Astdurchmesser und die auf den Umfang bezogene Summe der Astdurchmesser einer Astansammlung verwendet. Als am besten für die Vorhersage des globalen E-Moduls geeignet, erwiesen sich Ultraschallgeschwindigkeit, Rohdichte und Prüfkörperlänge (Bestimmtheitsmaß (R2) = 0,740 und Schätzfehler 0,734). Die Regressionsmodelle für Biegefestigkeit ergaben ein niedriges Bestimmtheitsmaß und hohe Schätzfehler. Die visuellen Sortiermerkmale spielten für die Vorhersage von MOEg oder MOR keine bedeutende Rolle.
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Acknowledgments
The authors would like to thank the Ministry of Science and Innovation of Spain (MICIN) and the Plan for Science, Technology and Innovation of the Principality of Asturias (PCTI) for funding of the research project “Forest and industrial valorisation of Spanish chestnut” (VALOCAS). Funding of this work was conducted through the lines Singular Strategic Projects (MICIN) and Complementary Support for Singular Strategic Projects carried out in Asturias (PCTI).
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Vega, A., Dieste, A., Guaita, M. et al. Modelling of the mechanical properties of Castanea sativa Mill. structural timber by a combination of non-destructive variables and visual grading parameters. Eur. J. Wood Prod. 70, 839–844 (2012). https://doi.org/10.1007/s00107-012-0626-7
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DOI: https://doi.org/10.1007/s00107-012-0626-7