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Erschienen in: Wood Science and Technology 1/2017

25.06.2016 | Original

Utilization of digital image correlation in determining of both longitudinal shear moduli of wood at single torsion test

verfasst von: Martin Brabec, Rastislav Lagaňa, Jaromír Milch, Jan Tippner, Václav Sebera

Erschienen in: Wood Science and Technology | Ausgabe 1/2017

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Abstract

A sophisticated approach for the precise determination of both longitudinal shear moduli of wood at single test is introduced. The method is based on the combination of the torsion test inducing pure shear stresses in sample and an optical method providing the full-field strain data of such stress state. The proposed procedure of the longitudinal shear moduli determination consists of two main steps. In the first step, the apparent longitudinal shear modulus following the standardized procedure (EN 408+A1) was determined. Secondly, both longitudinal shear moduli were derived based on the apparent longitudinal shear modulus and the shear strain distribution on the radial and tangential sample surfaces. The wood of European beech (Fagus sylvatica L.) was used as material for the experiments. The exploratory analysis revealed the increasing difference between the longitudinal shear moduli determined in the longitudinal–radial plane and in the longitudinal–tangential plane as the total torsion angle increased as well as with the increase in the average torsion stiffness. Further, the longitudinal shear moduli and the torsional longitudinal shear strength did not correlate well. Therefore, they cannot be used in order to predict each other. Although such findings need more detailed studies, they should be taken into account when designing wood structures.

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Metadaten
Titel
Utilization of digital image correlation in determining of both longitudinal shear moduli of wood at single torsion test
verfasst von
Martin Brabec
Rastislav Lagaňa
Jaromír Milch
Jan Tippner
Václav Sebera
Publikationsdatum
25.06.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Wood Science and Technology / Ausgabe 1/2017
Print ISSN: 0043-7719
Elektronische ISSN: 1432-5225
DOI
https://doi.org/10.1007/s00226-016-0848-7

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