2005
DOI: 10.1007/s10086-005-0704-0
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Prediction of bending properties for structural glulam using optimized distributions of knot characteristics and laminar MOE

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 i… Show more

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Cited by 20 publications
(11 citation statements)
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“…The key mechanical properties used for correlation are the characteristic tension strength parallel to the grain, f t,0,l,k , and the mean MOE in tension parallel to the grain, E 0,l,mean. In the case of glulam it is both difficult and costly to perform a sufficient large number of full-scale failure tests to give statistical values for a determined laminate combination, and thus modeling prediction and estimation are often considered [7]. For that reason, a reference element was considered in order to minimize the number of tests and to maximize the amount of information collected from the test campaign.…”
Section: Introductionmentioning
confidence: 99%
“…The key mechanical properties used for correlation are the characteristic tension strength parallel to the grain, f t,0,l,k , and the mean MOE in tension parallel to the grain, E 0,l,mean. In the case of glulam it is both difficult and costly to perform a sufficient large number of full-scale failure tests to give statistical values for a determined laminate combination, and thus modeling prediction and estimation are often considered [7]. For that reason, a reference element was considered in order to minimize the number of tests and to maximize the amount of information collected from the test campaign.…”
Section: Introductionmentioning
confidence: 99%
“…By repetition, 10 ideal datasets were simulated. The 100 tensile strength data were generated by inverse transform method [15]. Equation (1) shows how to generate the tensile strength.…”
Section: Dataset Preparation and Simulating Tensile Strengthmentioning
confidence: 99%
“…Besides the visual grade, the code includes other grading methods such as ultrasonic and transverse vibration nondestructive methods. The benefits from nondestructive testing (NDT) of laminae on the glulam properties can be seen in several studies (Lee et al 2005, Yang et al 2008, Fugimoto et al 2010). These methods can play an important role in improving the quality and reliability of tropical hardwood as an engineering material.…”
Section: Introductionmentioning
confidence: 97%