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Dynamic property of cross-laminated woods made with temperate seven species1open access

Authors
Gong, D.-M.Shin, M.-G.Lee, S.-H.Byeon, H.-S.Park, H.-M.
Issue Date
2021
Publisher
Korean Society of Wood Science Technology
Keywords
Correlation regression; Cross-laminated wood panels; Density dependence; Dynamic modulus of elasticity; Parallel-laminated wood panels; Static bending strength performance
Citation
Journal of the Korean Wood Science and Technology, v.49, no.5, pp.504 - 513
Indexed
SCOPUS
KCI
Journal Title
Journal of the Korean Wood Science and Technology
Volume
49
Number
5
Start Page
504
End Page
513
URI
https://scholarworks.bwise.kr/gnu/handle/sw.gnu/5546
DOI
10.5658/WOOD.2021.49.5.504
ISSN
1017-0715
Abstract
In this study, cross-laminated wood panels were manufactured with four softwoods and three hardwoods with the goal of efficiently predicting the static strength performance using dynamic modulus of elasticity (MOE) and simultaneously revealing the dynamic performance of cross-laminated wood panels. The effect of the density of the species on the dynamic MOE of the laminated wood panels was investigated. Moreover, the static bending strength performance was predicted nondestructively through the correlation regression between the dynamic MOE and static bending strength performance. For the dynamic MOE, the parallel-and cross-laminated wood panels composed of oriental oak showed the highest value, whereas the laminated wood panels composed of Japanese cedar showed the lowest value. In all types of parallel-and cross-laminated wood panels, the density dependence was confirmed, and the extent of the density dependence was found to be greater in the P⊥ and C⊥ types with perpendicular-direction laminae in the faces than in the P∥ and C∥ types with longitudinal-direction laminae in the faces. Our findings confirmed that a high correlation exists at a significance level of 1% between the dynamic modulus and static bending modulus or bending strength in all types of laminated wood panels, and that the static bending strength performance can be predicted through the dynamic MOE. ? 2021, Korean Society of Wood Science Technology. All rights reserved.
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Byeon, Hee Seop
농업생명과학대학 (환경재료과학과)
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