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Prediction of timber bending strength using dynamic excitation of bending modes
Linnaeus University, Faculty of Science and Engineering, School of Engineering. (Träbyggnadsteknik)ORCID iD: 0000-0002-6410-1017
Linnaeus University, Faculty of Science and Engineering, School of Engineering. (Träbyggnadsteknik)ORCID iD: 0000-0002-8513-0394
Linnaeus University, Faculty of Science and Engineering, School of Engineering. (Träbyggnadsteknik)ORCID iD: 0000-0001-5319-4855
Linnaeus University, Faculty of Science and Engineering, School of Engineering. (Träbyggnadsteknik)
2010 (English)In: Proceedings of the 11th World Conference on Timber Engineering / [ed] Ario Ceccotti, 2010Conference paper, Published paper (Refereed)
Abstract [en]

The potential of utilizing eigenfrequencies corresponding to edgewise bending modes for predicting the bending strength of timber is investigated. The research includes measurements of axial and transversal resonance frequencies, laboratory assessment of density, static bending stiffness and bending strength of 105 boards of Norway spruce of dimensions 45×145×3600 mm. It is shown that Eb,1, (MOE based on the eigenfrequency of the first bending mode) gives a higher coefficient of determination to the bending strength than what Ea,1 (MOE based on the first axial eigenfrequency) does. It is also shown that eigenfrequencies corresponding to higher bending modes can be used in the definition of a new prediction variable, the modulus of inhomogeneity (MOI). This is a scalar value representing the lack of fit between the true, measured eigenfrequencies and the expected (assuming homogeneity) eigenfrequencies of a board. The results show that using the MOI as a third prediction variable, in addition to Eb,1 and density, increases the coefficient of determination with respect to bending strength from R2 = 0.69 to R2 = 0.75.

Place, publisher, year, edition, pages
2010.
Keywords [en]
Machine strength grading, Bending mode, Resonance frequency, Wood, MOE, Finite element method
National Category
Building Technologies
Research subject
Technology (byts ev till Engineering), Civil engineering
Identifiers
URN: urn:nbn:se:lnu:diva-6968OAI: oai:DiVA.org:lnu-6968DiVA, id: diva2:332335
Conference
WCTE 2010
Available from: 2010-08-05 Created: 2010-08-04 Last updated: 2019-10-17Bibliographically approved

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CiteExportLink to record
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