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基于钻芯法的既有木结构树种鉴定研究

Study on Tree Species Identification of Existing Timber Structure Based on Drilled Core Method
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摘要 基于钻芯法开展既有木结构树种鉴定研究,研发取芯专用钻头,并基于芯样宏、微观特征综合判定树种。研究结果表明,直径和高度均为30mm的圆柱形芯样能完整保留木材宏观理化特征,且可用于制作横切面、径切面、弦切面切片,3个方向的切片能准确反映木材微观特征;木材宏、微观结合的判定方法能准确鉴定树种,可为既有木结构树种鉴定提供可行方法。 This paper summarized a study on tree species identification of existing timber structures based on drilled core method. A special drill bit for coring of existing timber structure was initially developed,and then the tree species were comprehensively evaluated based on the macroscopic and microscopic characteristics of the core samples. Research results show that the cylindrical core samples with a diameter of 30 mm and a height of 30 mm can retain the macroscopic physical and chemical characteristics of timber. The samples can be used to make cross section slices,radial section slices and tangential section slices. The slices in the three directions can accurately reflect the microscopic characteristics of timber. The identification method of the combination of macroscopic and microscopic characteristics can reasonably discriminate the tree species. The research can provide technical method for tree species identification of existing timber structure.
作者 王明谦 杨旭 许清风 陈溪 张志宇 刘辉 WANG Mingqian;YANG Xu;XU Qingfeng;CHEN Xi;ZHANG Zhiyu;LIU Hui(Shanghai Key Laboratory of Engineering Structure Safety,Shanghai Research Institute of Building Sciences Co.,Ltd.,Shanghai 200032,China;Shanghai Jianke Technical Assessment of Construction Co.,Ltd.,Shanghai 201108,China)
出处 《施工技术》 CAS 2020年第15期9-11,56,共4页 Construction Technology
基金 国家重点研发计划(2018YFC0704800) 上海市青年科技英才扬帆计划(10YF1441800)。
关键词 既有木结构 树种 鉴定 钻芯法 existing timber structures tree species identification drilled core methods
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  • 1于海鹏,刘一星,刘镇波.木材纹理的定量化算法探究[J].福建林学院学报,2005,25(2):157-162. 被引量:20
  • 2吴斌,刘合翔.人工智能技术在精准林业中的运用与发展[J].中国林业产业,2006(5):25-27. 被引量:2
  • 3于海鹏,刘一星,刘镇波.基于图像纹理特征的木材树种识别[J].林业科学,2007,43(4):77-81. 被引量:22
  • 4Bharati M H, Liu J J, MacGregor J F. 2004. Image texture analysis: methods and comparisons. Chemometrics & Intelligent Laboratory Systems, 72( 1 ) : 57 - 71
  • 5Tomita F, Tsuji S. 1990. Computer analysis of visual textures. MA: Kluwer Norwell
  • 6Wang Z, Guerriero A, Sario M. 1996. Comparison of several approaches for the segmentation of texture images. Pattern Recognition Letters, 17:509 - 521
  • 7Wheeler E A,Baas P,Rodgers S. IAWA Journal,2007,28(3):229.
  • 8Mallik A,Tarrío-Saavedra J,Francisco-Fernández M,et al. Chemometrics and Intelligent Laboratory Systems,2011,107(2):351.
  • 9Kagawa A,Leavitt S W. J. Wood Sci.,2010,56(3):175.
  • 10Tang X,Zhao G,Ping L. Plant Mol. Biol.,2011,77(6):609.

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