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杉木无性系木材力学性能及其与微观结构的关系

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国家林业和草原科学数据中心2022-11-01 更新2024-03-06 收录
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https://www.forestdata.cn/dataDetail.html?id=CSTR:17575.11.0220221101154.040001.V1
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采用力学测试,显微图像分析和X射线衍射研究3个20年生无性系杉木(开林24,开化13和开化3)的力学性能及其微观结构的关系。杉木无性系的断裂模量(MOR)为52–59 MPa,弹性模量(MOE)为10–11 GPa,弦向抗压强度为31–34 MPa。开化13和开林24具有相似的力学性能,且优于开化3。径向变化表明,它们的边材部位(生长轮9-18)比心材部位(生长轮3-7)力学性能更好。开化 13具有比开化3和开林24壁腔比较大。与具有心材相比,具有更好力学性能的边材也具有更大的壁腔比和更小的微纤丝角。线性回归分析还表明,对于不同无性系和同一无性系内不同径向位置,平均细胞壁厚度、细胞壁管腔比等解剖结构参数与其力学性能呈正相关,而微纤丝角与力学性能呈负相关。这两个因素协同影响木材的力学性能。

This study investigated the relationship between mechanical properties and microstructure of three 20-year-old Chinese fir clones (Kailin 24, Kaihua 13, and Kaihua 3) using mechanical testing, microscopic image analysis, and X-ray diffraction. The modulus of rupture (MOR) of the Chinese fir clones ranges from 52 to 59 MPa, the modulus of elasticity (MOE) ranges from 10 to 11 GPa, and the tangential compressive strength ranges from 31 to 34 MPa. Kaihua 13 and Kailin 24 exhibit similar mechanical properties, which are superior to those of Kaihua 3. Radial variation analysis shows that their sapwood parts (growth rings 9–18) have better mechanical properties than heartwood parts (growth rings 3–7). Kaihua 13 has a larger cell wall-to-lumen ratio than Kaihua 3 and Kailin 24. Compared to heartwood, sapwood with better mechanical properties also has a larger cell wall-to-lumen ratio and smaller microfibril angle. Linear regression analysis further reveals that anatomical structural parameters such as average cell wall thickness and cell wall-to-lumen ratio are positively correlated with mechanical properties across different clones and different radial positions within the same clone, while microfibril angle is negatively correlated with mechanical properties. These two factors synergistically affect the mechanical properties of wood.
提供机构:
国家林业和草原科学数据中心
创建时间:
2022-11-01
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集研究了三个20年生无性系杉木的力学性能及其与微观结构的关系,发现边材部位比心材部位具有更好的力学性能,且力学性能与细胞壁厚度、壁腔比呈正相关,与微纤丝角呈负相关。数据集来源于'木材材质改良的物理与化学基础'项目,数据格式为文档,数据量为3.44 MB。
以上内容由遇见数据集搜集并总结生成
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