文献类型：期刊文献

中文题名：2个家系落叶松木材抗弯性能径向变化特征与预测

英文题名：Radial Variation and Prediction of the Bending Properties of Larch Wood from Two Families

作者：高鑫[1] 鲍咏泽[2] 李珠[1] 向娥琳[1] 周凡[1] 周永东[1]

第一作者：高鑫

机构：[1]中国林业科学研究院木材工业研究所,北京100091;[2]河北农业大学林学院,河北保定071000

年份：2025

卷号：39

期号：6

起止页码：18-25

中文期刊名：木材科学与技术

外文期刊名：Chinese Journal of Wood Science and Technology

收录：;北大核心:【北大核心2023】；

基金：农业生物育种国家科技重大专项课题“纸浆材与结构用松树木材性质与质量评价”(2023ZD0405905)。

语种：中文

中文关键词：落叶松;家系;抗弯性能;径向变化;预测

外文关键词：larch;families;bending strength;radial variation;prediction

分类号：S781.2;S791.22

摘要：以日5×兴9(Larix kaempferi 5×L.gmelinii 9)和日5×长77-3(Larix kaempferi 5×L.olgensis 77-3)两个家系人工林杂种落叶松为研究对象,系统分析4个树龄、径向不同生长轮区域的木材抗弯强度与抗弯弹性模量变化规律,建立抗弯性能预测模型。结果表明,两种落叶松木材的抗弯强度(modulus of rupture,MOR)和抗弯弹性模量(modulus of elasticity,MOE)沿径向呈三段式变化趋势,在1~10年阶段随生长轮位置外移而增大,之后趋于平稳,近边材区则出现下降。抗弯性能与晚材面积比、气干密度显著相关;基于生长轮位置、晚材面积比与气干密度构建拟合模型,考虑因子主效应与交互作用,模型能够准确反映抗弯性能的径向变化与波动特征,拟合结果决定系数(R^(2))高于0.92。验证结果表明,MOR和MOE的预测值与实测值变化趋势一致,预测偏差均值介于6.20%~9.11%,为落叶松木材抗弯性能预测提供较为可靠的依据。
This study investigated the radial variation of the modulus of rupture(MOR)and modulus of elasticity(MOE)of larch wood from two families(Larix kaempferi 5×L.gmelinii 9 and Larix kaempferi 5×L.olgensis 77-3)across four tree ages.A model for predicting the bending mechanical properties was established.The results indicated that both MOR and MOE of the two hybrid larch wood exhibited a three-stage radial pattern:they increased from the pith outward during the period from 1 to 10 years,then followed by a stable phase,and finally decreased near the sapwood region.The bending properties showed significant correlations with the area ratio of latewood and air-dry density.A mathematical model based on growth ring position,area ratio of latewood,and air-dry density was developed,which considered both the main effects and interaction effects of these factors.This model could accurately reflect the radial and fluctuation characteristics of the bending strength properties,with coefficients of determination(R^(2))exceeding 0.92.The results also demonstrated that the predicted values were consistent with the measured values in terms of variation trends.The mean prediction deviation for MOR and MOE ranged from 6.20%to 9.11%.The developed model could provide a reliable method for selecting the wood property and predicting the mechanical performance of the larch wood examined.