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.
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. DOI: 10.12326/j.2096-9694.2020175.
Suitability Testing Technology of Invisible Damage in Wooden Components of Ancient Timber Structures
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.
关键词
古建筑木结构木构件隐蔽式残损适宜性检测无损检测
Keywords
ancient timber structurewooden componentsinvisible damagesuitability testingnondestructive testing
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.
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.
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.
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.
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.
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.
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.
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.