应力波法快速预测3个家系落叶松木材弹性模量

贾昌东; 贺嘉琪; 陈丽颖; 龚迎春; 周永东; 王玉荣

doi:10.12326/j.2096-9694.2025116

“定向培育松树木材性质评价”专栏 | 浏览量 : 0 下载量: CSCD: 0 CNKI被引量: 0 Crossref: 0 Wos: 0 Scopus: 0 更多指标

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应力波法快速预测3个家系落叶松木材弹性模量
Rapid Prediction of Modulus of Elasticity in Larch Wood from Three Families Using Stress Wave Method
中国林业科学研究院木材工业研究所，北京 100091
2026年40卷第1期页码：19-26
DOI： 10.12326/j.2096-9694.2025116
稿件说明：

移动端阅览

贾昌东,贺嘉琪,陈丽颖等.应力波法快速预测3个家系落叶松木材弹性模量[J].木材科学与技术,2026,40(01):19-26. DOI： 10.12326/j.2096-9694.2025116.

JIA Changdong,HE Jiaqi,CHEN Liying,et al.Rapid Prediction of Modulus of Elasticity in Larch Wood from Three Families Using Stress Wave Method[J].Chinese Journal of Wood Science and Technology,2026,40(01):19-26. DOI： 10.12326/j.2096-9694.2025116.

摘要

为实现杂种落叶松木材弹性模量（modulus of elasticity，MOE）的快速预测，以日3×兴2（

Larix kaempferi

×L. gmelinii

2）、日12×兴9（

Larix kaempferi

×L. gmelinii

9）、日3×兴9（

Larix kaempferi

×L. gmelinii

9）3个家系落叶松木材为研究对象，运用应力波无损检测技术获取木材波速，结合气干密度计算动态MOE，探究原木与无疵小试样两种形态木材在应力波波速、动态MOE上的差异，并与无疵小试样的静态MOE进行比较分析。结果表明，无疵小试样的波速、动态MOE分别较原木平均高6.1%、8.4%，无疵小试样的静态MOE比原木动态MOE、无疵小试样动态MOE分别高30.2%、20.1%。基于原木波速、原木动态MOE分别构建无疵小试样静态MOE的全样本一元线性回归模型，其决定系数（

）分别为0.57、0.66；基于原木波速、气干密度构建无疵小试样静态MOE的全样本多元线性回归模型，其

为0.67，经五折交叉验证，该多元模型显示较强的泛化能力。3类模型

均达中度拟合水平，在MOE预测中展现良好应用潜力，其中“日3×兴2”模型

均最高。研究为

杂种落叶松木材MOE快速评估提供理论依据和技术支撑。

Abstract

To enable rapid prediction of the modulus of elasticity (MOE) in hybrid larch wood

three hybrid larch families (

Larix kaempferi

3×

Larix gmelinii

L. kaempferi

12×

L. gmelinii

and

L.kaempferi

3×

L. gmelinii

9) were selected. Stress-wave nondestructive testing technology was employed to measure stress-wave velocity in logs and small clear specimens. The dynamic modulus of elasticity was calculated based on stress-wave velocity in combination with oven-dry density. The differences in stress-wave velocity and dynamic MOE between two forms of wood

namely logs and small clear specimens

were investigated

and the differences between the dynamic MOE and static MOE of small clear specimens were also compared. The results showed that

compared with logs

the stress-wave velocity and dynamic MOE of small clear specimens increased by 6.1% and 8.4%

respectively. The static MOE was 30.2% and 20.1% higher than the dynamic MOE of logs and small clear specimens

respectively. The full-sample regression models developed using log wave velocity and log dynamic MOE to predict the static MOE of small clear specimens yielded coefficients of determination (

²) of 0.57 and 0.66

respectively. A full-sample multiple regression model of small clear specimens incorporating both log wave velocity and air-dry density yielded

² of 0.67

and five-fold cross-validation indicated that the model exhibited good stability. All models demonstrated moderate fitting level and promising predictive potential. Across different families

the

Larix kaempferi

3 ×

L. gmelinii

2 family showed all the best fit. This study provides a theoretical basis and technical support for rapid evaluation of MOE in hybrid larch wood.

关键词

Keywords

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