Prediction of bending properties for structural glulam using optimized distributions of knot characteristics and laminar MOE |
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Authors: | Jun Jae Lee Joo Saeng Park Kwang Mo Kim Jung Kwon Oh |
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Institution: | (1) College of Agriculture and Life Sciences, Seoul National University, Seoul, 151-742, Korea;(2) Department of Forest Products, Korea Forest Research Institute, Seoul, 130-712, Korea |
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Abstract: | This study established a prediction model for bending properties of glued-laminated timber (glulam) using optimized knot and
modulus of elasticity (MOE) distributions of lumber laminate as the main input variables. For this purpose, knot and MOE data
were investigated for all pieces of lumber that were prepared for glulam manufacturing, and statistical distributions of knot
size, knot number in one lumber, and MOE of each laminate were optimized as distribution functions. These knot and MOE data
were used as input variables in the prediction model for bending properties, and were also used in generating virtual glulam
using the inverse transform method. Prediction of bending properties for glulam was carried out using the transformed section
method, which is partially provided in ASTM D 3737 (Annex A4). Predicted values were compared with those from full-scale four-point
bending tests for 60 six-layered glulams with 10 different laminar combinations. Finally, the allowable bending properties
of glulam for each specific laminate combination were determined by calculating the fifth percentile of the modulus of rupture
and the average modulus of elasticity from virtual test results of more than 1000 virtual glulams. From the results of this
study, predicted bending properties for glulam and their distributions could be used for structural design in both allowable
stress design and limit state design. |
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Keywords: | Bending properties of glulam Knot characteristics Optimized distribution Inverse transform method Transformed section method |
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