林业工程学报2016，Vol.1Issue(5)：40-44,5.DOI:10.13360/j.issn.2096-1359.2016.05.008
玻璃纤维线植入方式对单板层积材力学性能影响
Influence of glass fiber implantation on the mechanical properties of poplar laminated veneer lumber
摘要
Abstract
At present, poplar, eucalyptus trees, bamboo, and other fast growing species are the main raw materials for the manufacture of LVL. Due to the low density and relatively low mechanical property of the fast growing species, the mechanical properties of the LVL made from this species cannot meet the requirements for application as the engineering material. To improve the mechanical properties of LVL and expand the application of the fast growing trees in the field of structural material, the poplar veneer were reinforced by implanting the glass fiber as the baseline and polyethylene fiber as the face line and used for LVL fabrication. Influence of different implantation methods and LVL assembling method, including using line layer, mesh layer, and two line layer implanted veneers on the top and bottom of the LVL, on the mechanical properties of resulting LVL were investigated. The results showed that the surface treatment of glass fiber with silane coupling agent, decreasing implantation interval, implantation with mesh in one veneer, and assembling with top⁃bottom two line layer implanted veneers remarkably improved the modulus of elasticity, static bending strength and im⁃pact toughness of the resulted LVL. Moreover, the LVL assembled with top⁃bottom two line layer implanted veneers dem⁃onstrated the highest mechanical properties with the modulus of elasticity and static bending strength increased by 42�5%and 51�4%, respectively. And its impact toughness increased by 34.8%. This study will promote the efficient utilization of fast growing poplar tree for LVL fabrication with high strength and high modulus.关键词
杨木单板/玻璃纤维线/植入方式/LVL/力学性能Key words
poplar veneer/glass fiber/implanting technology/LVL/mechanical properties分类
农业科技引用本文复制引用
崔举庆,黄河浪,韩书广,何元康,蒋贵杨..玻璃纤维线植入方式对单板层积材力学性能影响[J].林业工程学报,2016,1(5):40-44,5.基金项目
国家自然科学基金（31470590，31400502）；江苏省科技支撑计划（富民强县）项目（BN2014068）；江苏省企业研究生工作站项目。 （）
