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Bending Strength Prediction and Finite Element Analysis of Larch Structural Beams.

Authors :
Seung-Youp Baek
Yo-Jin Song
Hyun-Woo Kim
Soon-Il Hong
Source :
BioResources. 2023, Vol. 18 Issue 1, p1824-1835. 12p.
Publication Year :
2023

Abstract

The material constants of wood required for finite element analysis (FEA) are usually calculated using small clear specimens. However, defects, such as knots and slope of grain affect the strength reduction in the fullsize specimens. Consequently, an error occurs if only the material constant calculated from the small clear specimens is used to predict modulus of rupture (MOR). Therefore, in this study, the MOR reduction coefficient according to defect was obtained through the bending test of the full-size specimens and applied to the FEA, in addition to the material constant from the small clear specimens. The maximum bending moment section was measured for a 3-section four-point load, and defects in the outermost tension layer were measured for laminated timber and glulam. The result of the bending test confirmed that MOR also decreased as the size of the defect increased. Therefore, when predicting MOR, a strength reduction ratio according to visual grade was applied. The MOR predicted FEA was twice as large as the actual MOR before defect correction, but the prediction error after defect correction was greatly reduced to 8%, thus increasing the prediction accuracy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19302126
Volume :
18
Issue :
1
Database :
Academic Search Index
Journal :
BioResources
Publication Type :
Academic Journal
Accession number :
161659516
Full Text :
https://doi.org/10.15376/biores.18.1.1824-1835