Determining Young’s modulus of timber on the basis of a strength database and stress wave propagation velocity II: effect of the reference distribution database on the determination

被引:0
作者
Mariko Yamasaki
Yasutoshi Sasaki
Yasuo Iijima
机构
[1] Nagoya University,Graduate School of Bioagricultural Sciences
[2] Akita Prefectural University,Institute of Wood Technology
来源
Journal of Wood Science | 2010年 / 56卷
关键词
Strength database; Stress wave propagation velocity; Young’s modulus; Estimation; Monte Carlo simulation;
D O I
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中图分类号
学科分类号
摘要
A method of determining the Young’s modulus of timber using the stress wave propagation velocity without knowing the timber density was developed in our previous study. This method enables the estimation of Young’s modulus by Monte Carlo simulation using an existing database of the Young’s modulus versus density relationship as reference. Here, in Part II, we consider the effect of the reference distribution database on the accuracy of the estimated Young’s modulus by the developed method. Twelve different reference distribution databases were used in this study, containing Young’s modulus versus density data for more than 13 000 real-size timber specimens of ten different species. We obtained the following results: (1) the distribution of Young’s modulus estimated using an arbitrary stress wave propagation velocity depends on the reference distribution database employed, (2) the most important factor is not that the reference database has data on the same species as the timber in the test, but rather that the reference distribution database covers the foreseeable range of timber densities within the test, and (3) the estimation accuracy is higher than about 80% when the database covers many species and has wide ranges of densities and Young’s moduli. This estimation method was developed in order to measure the Young’s modulus of timber whose density cannot be measured. Considering that the quality of lumber has a large variation, such estimation accuracy will be useful for practical applications.
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页码:380 / 386
页数:6
相关论文
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[2]  
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