1.中国林业科学研究院木材工业研究所，北京 100091
扫 描 看 全 文
袁霄,陈勇平,郭文静等.古建筑木构件隐蔽式残损适宜性检测技术[J].木材科学与技术,2021,35(06):9-15.
YUAN Xiao,CHEN Yong-ping,GUO Wen-jing,et al.Suitability Testing Technology of Invisible Damage in Wooden Components of Ancient Timber Structures[J].Chinese Journal of Wood Science and Technology,2021,35(06):9-15.
鉴于我国木结构古建筑富于变化且式样较多，为了化繁为简，将古建筑木构件按形状（圆形构件、方形构件）、位置（埋墙构件、露明构件）和构造（独木构件、拼合构件），分为8种组合类型。针对这8种组合构件，通过其适宜性检测方法研究，形成无损检测技术体系，实现隐蔽式残损的快速识别和可靠表征。
The ancient Chinese timber structures have rich variety of styles. It is tedious to form a set of nondestructive testing methods for every type of components, therefore, the authors proposed a simplified method, which is based on the component shapes (circle, square), positions (buried-wall, exposed), and compositions (single wood, jointed member) of ancient wooden structures. This method can be generalized into eight combination types, such as circular components and quadrate based on their shapes, embedded components and open components based on their positions, single components and split components based on their structures. A nondestructive testing technology system for wooden components was developed through a suitability testing research on the eight combination components. The rapid identification and reliable characterization of invisible damage were achieved.
古建筑木结构木构件隐蔽式残损适宜性检测无损检测
ancient timber structurewooden componentsinvisible damagesuitability testingnondestructive testing
白丽娟, 王景福. 古建清代木构造[M]. 北京: 中国建材工业出版社, 2007.
张晓芳. 阻力仪在古建筑木构件勘查中的应用研究[D]. 北京: 北京林业大学硕士学位论文, 2007.
LAURENCE R C, STEPHEN L Q. Detection of wood decay in blue gum and elm: an evaluation of the Resistograph and the portable drill[J]. Journal of Arboriculture, 1999, 25(6): 1-9.
王立海, 徐华东, 闫再兴, 等. 传感器的数量与分布对应力波检测原木缺陷效果的影响[J]. 林业科学, 2008, 44(5): 115-121.
WANG L H, XU H D, YAN Z X, et al. Effects of sensor quantity and planar distribution on testing results of log defects based on stress wave[J]. Scientia Silvae Sinicae, 2008, 44(5): 115-121.
陈勇平, 高甜, 李德山, 等. 马尾松木材空洞开裂残损的雷达检测成像初探[J]. 北京林业大学学报, 2017, 39(3): 112-118.
CHEN Y P, GAO T, LI D S, et al. Preliminary study on radar detection and imaging of cavities and cracks of Pinus massoniana[J]. Journal of Beijing Forestry University, 2017, 39(3): 112-118.
LIN C J, HUANG Y H, HUANG G S, et al. Detection of decay damage in iron-wood living trees by nondestructive techniques[J]. Journal of Wood Science, 2016, 62(1): 42-51.
TUMENJARGAL B, ISHIGURI F, TAKAHASHI Y, et al. Predicting the bending properties of Larix sibirica lumber using nondestructive-testing methods[J]. International Wood Products Journal, 2020, 11(3): 115-121.
UTHAPPA A R, HEGDE M, KUMAR P K, et al. Rapid measurement of density of wood in progeny trial of Acacia mangium Willd. using resistograph-A nondestructive method[M]//Wood is Good. Springer, Singapore, 2017: 37-45.
张富文, 许清风, 张治宇, 等. 钻入阻抗法检测木材缺陷[J]. 无损检测, 2016(1): 6-9, 74.
ZHANG F W, XU Q F, ZHANG Z Y. Wood defect inspection by drilling resistance method[J]. Nondestructive Testing, 2016(1): 6-9, 74.
UDAYA H, SACHIN A, BHASKARAN G, et al. Defect detection in wooden logs using ground penetrating radar[J]. AIP Conference Proceedings, 2007, 894(1): 1368-1375.
SANDEEP P, UDAYA H. GPR scanning methods for enhanced data imaging wooden logs[R]. AIP Conference Proceedings, 2008, 975(1): 1674-1681.
BUTNOR J R, PRUYN M L, SHAW D C, et al. Detecting defects in conifers with ground penetrating radar: applications and challenges[J]. Forest Pathology, 2009, 39(5): 309-322.
邸向辉, 王立海. 探地雷达（GPR）在木材无损检测应用中的可行性探讨[J]. 无损检测, 2013, 35(11): 51-54.
DI X H, WANG L H. Study on the feasibility about GPR applied on wood nondestructive testing [J]. Nondestructive Testing, 2013, 35(11):51-54.
文剑, 李伟林, 肖中亮, 等. 活立木内部缺陷雷达波检测研究[J]. 农业机械学报, 2017, 48(10): 185-193.
WEN J, LI W L, XIAO Z L, et al. Radar wave detection of standing trees internal defect[J]. Transactions of the Chinese Society of Agricultural Machinery, 2017, 48(10): 185-193.
肖夏阳, 文剑, 肖中亮, 等. 基于雷达波的树木躯干内部缺陷探测识别[J]. 林业科学, 2018, 54(5): 127-134.
XIAO X Y, WEN J, XIAO Z L, et al. Detection and recognition of tree trunk internal structure based on radar [J]. Scientia Silvae Sinicae, 2018, 54(5): 127-134.
Rabe C, Ferner D, Fink S, et al. Detection of decay in trees with stress waves and interpretation of acoustic tomograms [J]. Arboricultural Association Journal, 2004, 28(1-2): 3-19.
梁善庆. 古树名木应力波断层成像诊断与评价技术研究[D]. 北京: 中国林业科学研究院博士学位论文, 2008.
杨慧敏, 王立海. 立木与原木内部腐朽二维成像检测技术研究进展[J]. 林业科学, 2010, 46(7): 170-175.
YANG H M, WANG L H. Research and development on 2D imaging technology of the decay in trees and logs[J]. Scientia Silvae Sinicae, 2010, 46(7): 170-175.
郑泽宇, 冯海林, 杜晓晨, 等. 木材径切面内部缺陷的应力波成像算法[J]. 浙江农林大学学报, 2019, 36(2): 211-218.
ZHENG Z Y, FENG H L, DU X C, et al. A stress wave tomography algorithm for internal defects in radial and longitudinal (RL) planes of wood[J]. Journal of Zhejiang A & F University, 2019, 36(2): 211-218.
相关作者
相关机构
京公网安备11010802024621
微信公众号