Accessible Requires Authentication Published by De Gruyter February 11, 2017

Verification of the elastic material characteristics of Norway spruce and European beech in the field of shear behaviour by means of digital image correlation (DIC) for finite element analysis (FEA)

Jaromír Milch, Martin Brabec, Václav Sebera and Jan Tippner
From the journal Holzforschung

Abstract

Norway spruce (Picea abies L. Karst.) and European beech (Fagus sylvatica L.) samples were loaded in shear mode aimed at testing their elastic material characteristics applicable in finite element analysis (FEA). More precisely, experimental and numerical analyses of uniaxial tensile test parallel to grain in longitudinal-radial (LR) or longitudinal-tangential (LT) shear of plane are described. The elastic material models in the FEA are based on own experimental data and those of the literature. The verification of material characteristics was performed by 3D numerical models with the same parameters as for the experimental tests. The fully orthotropic elastic material model was applied in the uniaxial tensile tests. The digital image correlation (DIC) method served for verification of the numerical models with proposed elastic material characteristics. Good correlation was found between numerically predicted and experimentally measured data. The minor differences between the two data sets could be mainly attributed to certain natural wood characteristics, which were neglected in the proposed models, i.e. especially variation of earlywood and latewood density. The proposed elastic material models offer general data sets for the evaluation of mechanical response of timber structures and especially in timber connexions.

Acknowledgment

This paper was created at the Research Centre Josef Ressel in Brno-Utěchov, Mendel University in Brno and was funded by NAKI project “Historical Timber Structures: Typology, Diagnostics and Traditional Wood Working” reg. No, DG16P02M026, provided by the Ministry of Culture of the Czech Republic.

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Received: 2016-10-5
Accepted: 2017-1-7
Published Online: 2017-2-11
Published in Print: 2017-5-1

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