Nondestructive Evaluation of Wood Properties in Standing Trees Using Vibrational Spectra
Nondestructive Evaluation of Wood Properties in Standing Trees Using Vibrational Spectra
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使用振动光谱对直立树木的木材特性进行无损评估
DOI：
10.2488/jwrs.63.291
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Takaaki Fujimoto
中科院分区：
文献类型：
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作者：
Harusa Tsutsumi;Shunji Oribe;H. Haga;Takaaki Fujimoto
本研究的目的是利用振动光谱估计立木的含水率、木材密度和弹性模量。对于初步测试，固定长度和直径的原木用于以下实验。原木在常压下用水浸渍，振动测试以固定的间隔进行，同时原木在室内条件下干燥。利用3种激振方式（纵向振动、横向振动或纵向振动）产生的振动谱，建立了预测木材性质的统计模型。Lasso（最小绝对收缩和选择算子）和PLS（偏最小二乘）模型可以预测水分含量和密度独立的激励，与弹性模量的例外。通过敲击原木侧面获得的振动谱可以给出良好的预测模型，表明本研究中提出的技术具有很高的应用潜力。
The objective of this study was to estimate the moisture content, wood density of corresponding moisture content and modulus of elasticity in standing trees using vibrational spectra. For the preliminary tests, fixed length and diameter logs were used for the following experiments. The logs were impregnated with water at normal pressure and the vibration tests were carried out at fixed intervals while the logs were left to dry under room conditions. The statistical models for the prediction of the wood properties were built using the vibration spectra generated from three excitation methods, namely, excitation of longitudinal vibration by hitting the transverse surface of logs, and excitation of lateral vibration or longitudinal vibration by hitting the log’s lateral surface. The Lasso (least absolute shrinkage and selection operator) and PLS (partial least squares) models could predict the moisture content and density independently of the excitation, with the exception of the modulus of elasticity. The vibrational spectra obtained by hitting the lateral surface of logs could give good prediction models, indicating that the techniques suggested in this study have high potential for application to standing trees.