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应用CT技术研究木材断口形态特征 被引量:17
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作者 费本华 赵勇 +3 位作者 覃道春 杨忠 侯祝强 赵荣军 《林业科学》 EI CAS CSCD 北大核心 2007年第4期137-140,共4页
This paper initially applied the non-destructive evaluation-computerized tomography and the fractal theory to research the feature of wood fracture. Pinus elliottii, Populus×canadensis cv. ‘I-214’ and Larix gme... This paper initially applied the non-destructive evaluation-computerized tomography and the fractal theory to research the feature of wood fracture. Pinus elliottii, Populus×canadensis cv. ‘I-214’ and Larix gmelinii were choosed as samples. The author established the logarithm-logarithm relationship between the section area of wood fracture and its location, then defined the slope-D_L regressed by the two factors above as the section variation fractal dimension of wood fracture. The results showed: the non-destructive evaluation-computerized tomography can effectively analysis the feature of wood fracture. All the samples exist an marked linear relationship between the section area of fracture and its location, D_L is a new effective parameter to quantitatively characterize the feature of wood fracture, the delta of -2 described the complexity of fracture surface of wood. Due to the anisotropy and variation of wood properties, D_L is the statistically fractal dimension. All the results are tested by the statistic software——SARS, there exists remarkable difference between the D_L from different species. The average fractal dimension of fracture surface of Pinus elliottii is 2.25, Populus×canadensis cv. ‘I-214’ is 2.46, Larix gmelinii is 2.65. 展开更多
关键词 CT断层扫描 木材断口 截面变化维数
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基于三维扫描技术的木材断口分形特征 被引量:5
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作者 张绍群 花军 +3 位作者 许威 陈光伟 刘龙 Cai Liping 《林业科学》 EI CAS CSCD 北大核心 2014年第7期138-142,共5页
以杉松和银白杨为试验材料,利用三维扫描技术研究木材断口的分形特征。结果表明:三维扫描技术可以有效地分析木材断口分形特征;木材断口截面面积与其距离零点的距离的对数之间具有明显的线性关系;木材断口最高点与剪切工作截面之间断口... 以杉松和银白杨为试验材料,利用三维扫描技术研究木材断口的分形特征。结果表明:三维扫描技术可以有效地分析木材断口分形特征;木材断口截面面积与其距离零点的距离的对数之间具有明显的线性关系;木材断口最高点与剪切工作截面之间断口部分的分形维数随剪切工作截面向断口底部移动而逐渐减小;不同树种木材断口分形维数之间存在具有统计意义的显著性差异,杉松和银白杨断口分形维数均值分别为2.050和2.091。 展开更多
关键词 三维扫描技术 木材断口 分形特征 分形维数
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