Prediction of bending properties for beech lumber using stress wave method

Prediction of bending properties for beech lumber using stress wave method
复制标题

使用应力波法预测山毛榉木材的弯曲性能

DOI:
10.4067/s0718-221x2014005000008
复制
发表时间:
2014
影响因子:
1.5
通讯作者:
T. Yilmaz
T. Yilmaz
中科院分区:
材料科学3区
文献类型:
--
作者:
E. Güntekin;S. Ozkan;T. Yilmaz

文献摘要

被引文献

相似文献

本文采用应力波法对山毛榉木材的弯曲性能进行了预测,并与静态弯曲试验进行了比较。首先,将长度和横截面不同的木材称重并测量尺寸。然后,通过水分计获得水分含量。通过使用MTG木材分级机装置中的样品的密度、水分和尺寸,确定动态弹性模量值。然后,对样品进行3点弯曲试验。使用载荷-变形曲线计算弹性模量和弯曲强度。建立了动态弹性模量与弯曲性能之间的回归模型。结果表明,动态弹性模量与静态弹性模量之间有很高的回归系数(0.86)。测得动态弹性模量与静态弯曲强度之间的回归系数为(0,72),测得静态弹性模量与静态弯曲强度之间的回归系数为(0,74)。结果表明,应力波法可以预测山毛榉木材的弯曲性能。
In this study; bending properties of beech wood (Fagus orientalis) were predicted using stress - wave method and compared with static bending tests. First, lumbers which were different in length and cross section were weighed and dimensions were measured. Then, moisture contents were obtained via moisture meter. By using the density, moisture, and dimensions of the samples in MTG Timber Grader device, dynamic modulus of elasticity values were determined. And then, samples were subjected to 3 point bending test. Modulus of elasticity and bending strengths were calculated using load - deformation curves. Regression models were developed to interpret relationships between dynamic modulus elasticity and bending properties. Results showed that there is a high regression coefficient (0,86) between dynamic modulus of elasticity and static modulus of elasticity. Regression coefficient between dynamic modulus of elasticity and static bending strength was measured as (0,72) and regression coefficient between static modulus of elasticity and static bending strength was measured as (0,74). Results indicate that bending properties of beech wood lumber can be predicted using stress wave method.