Nondestructive Testing of Mechanical Properties of Pine Laminated Veneer Lumber

Bing Xue; Ying Cheng Hu

doi:10.4028/www.scientific.net/AMR.150-151.1425

Paper Titles

Investigation of Microstructure and Property of Fe₃Al/Al₂O₃ Composites
p.1409

Cure and Dynamic-Mechanical Behaviors of Vinyl Ester Resinfilled with Multi-Walled Carbon Nanotubes
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Nanoparticle/Epoxy Nanocomposites: Impact, Flexural and Thermal Properties
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The Preparation of TiO₂Film Loaded on Fiberglass Mesh and the Experimental Study on Its Photocatalytic Properties
p.1421

Nondestructive Testing of Mechanical Properties of Pine Laminated Veneer Lumber
p.1425

Microstructure and Properties of Fe-Based Laser Cladding Coatings Reinforced by In Situ Synthesized Multiphase Ceramic Particles
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Study on the Processing Technology of Bamboo Mat/Bamboo Particle Composite Board
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Effects of Different Pretreatments of Wood Fiber on Mechanical Properties of Biodegradable Composite
p.1438

A Simple Experimental Method to Simulate the Fracture and Faults in Earthquakes
p.1444

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Nondestructive Testing of Mechanical Properties of Pine Laminated Veneer Lumber

Abstract:

Laminated Veneer Lumber (LVL) panels made from pine (Pinus sylvestris L. Var. mongolica Litven.) veneers were tested for mechanical properties and prediction models in this study. Three different nondestructive testing (NDT) methods and the static bending test were conducted on the LVL. The NDT methods included the longitudinal vibration method, longitudinal transmission method and flexural vibration method. The effects of veneer thickness on the dynamic Young’s modulus and the modulus of elasticity (MOE) of pine LVL with vertical load were investigated. There were four variety thickness veneers including 2.2 mm, 2.6 mm, 3.0 mm and 3.4 mm. The results showed that the dynamic Young’s modulus and MOE of LVL diminished with the increase of veneer thickness, there was a strong linearity correlation between each dynamic Young’s modulus and the static MOE, and the prediction models of mechanical properties can be used to predict MOE of pine LVL.