• Scopus
  • Chinese Science Citation Database (CSCD)
  • A Guide to the Core Journal of China
  • CSTPCD
  • F5000 Frontrunner
  • RCCSE
Advanced search
Tu Juncheng, Zhao Dong, Zhao Jian. Experimental study on in situ monitoring of the evolution law of cracks in wood components with transverse cracks based on acoustic emission and image correlation[J]. Journal of Beijing Forestry University, 2020, 42(1): 142-148. DOI: 10.12171/j.1000-1522.20190276
Citation: Tu Juncheng, Zhao Dong, Zhao Jian. Experimental study on in situ monitoring of the evolution law of cracks in wood components with transverse cracks based on acoustic emission and image correlation[J]. Journal of Beijing Forestry University, 2020, 42(1): 142-148. DOI: 10.12171/j.1000-1522.20190276

Experimental study on in situ monitoring of the evolution law of cracks in wood components with transverse cracks based on acoustic emission and image correlation

More Information
  • Received Date: June 30, 2019
  • Revised Date: September 02, 2019
  • Available Online: October 08, 2019
  • Published Date: January 13, 2020
  • ObjectiveThe defects of the wood component with transverse cracks will cause fracture damage under bending load. It is important to study the law of crack initiation and propagation to predict and evaluate the fracture damage of the timber-containing members.
    MethodThis paper was performed on Chinese fir and damage was monitored in-situ in real time based on acoustic emission (AE) and digital image technology (DIC) during three-point bending failure of wooden beams with prefabricated transverse cracks. The AE parameter analysis method was used to study the characteristics of AE signals during the crack initiation and propagation of Chinese fir. The strain characteristics of the surface of the wooden beam are also analyzed according to the strain and displacement changes of the crack tip region.
    ResultThe results showed that the crack initiation and propagation laws reflected by the AE and DIC measurements during the damage evolution of prefabricated cracks in wood beam specimens were consistent, the digital images of damage evolution from monitoring the crack tip region of wooden beams verify the prediction of AE signals, and AE ring count, energy and amplitude were effective indicators to predict the crack initiation of wooden beams. The strain of the wooden beam surface can effectively observe the evolution of crack initiation and extension.
    ConclusionThe results of this study establish the relationship between wood microcrack initiation, propagation behavior and acoustic emission parameters and surface strain, and it successfully construct the evolutionary measurement and evaluation system for in-situ monitoring of cracks in wood components with transverse cracks based on acoustic emission technology and digital image correlation method. The experimental results provide a reference for the further study of the damage mechanism and in-situ monitoring methods for the crack evolution behavior of wood components with transverse cracks.
  • [1]
    王丽宇, 鹿振友, 张明辉, 等. 木材干燥后的裂纹与断裂[J]. 木材工业, 2002, 16(2):26−28. doi: 10.3969/j.issn.1001-8654.2002.02.008

    Wang L Y, Lu Z Y, Zhang M H, et al. Cracks and fractures after wood drying[J]. Wood Industry, 2002, 16(2): 26−28. doi: 10.3969/j.issn.1001-8654.2002.02.008
    [2]
    王丽宇. 木材裂纹扩展及其断裂行为的研究[D]. 北京: 北京林业大学, 2002.

    Wang L Y. Research on crack propagation and fracture behavior of wood[D]. Beijing: Beijing Forestry University, 2002.
    [3]
    费本华, 张东升. 木材断裂裂纹及应力场的分形研究[J]. 木材工业, 2003, 17(3):7−12. doi: 10.3969/j.issn.1001-8654.2003.03.003

    Fei B H, Zhang D S. Fractal study on crack and stress field of wood[J]. Wood Industry, 2003, 17(3): 7−12. doi: 10.3969/j.issn.1001-8654.2003.03.003
    [4]
    孙艳玲, 张青, 赵东. 木材裂纹尖端应力、应变场的数值分析[J]. 北京林业大学学报, 2010, 32(1):103−107.

    Sun Y L, Zhang Q, Zhao D. Numerical analysis of stress and strain fields at the crack tip of wood[J]. Journal of Beijing Forestry University, 2010, 32(1): 103−107.
    [5]
    邵卓平. 木材和竹材的断裂与损伤[D]. 合肥: 安徽农业大学, 2009.

    Shao Z P. Fracture and damage of wood and bamboo[D]. Hefei: Anhui Agricultural University, 2009.
    [6]
    鹿振友. 断裂力学在木材加上的应用[J]. 北京林业大学学报, 1988, 10(3):49−56.

    Lu Z Y. Application of fracture mechanics in wood addition[J]. Journal of Beijing Forestry University, 1988, 10(3): 49−56.
    [7]
    Wu E M. Application of fracture mechanics to anisotropic plates[J]. Journal of Applied Mechanics, 1967, 34(4): 967−974. doi: 10.1115/1.3607864
    [8]
    鹿振友, 王丽宇, 刘艳. 白桦材断裂韧度的各向异性性质[J]. 力学与实践, 2004, 26(4):47−49. doi: 10.3969/j.issn.1000-0879.2004.04.014

    Lu Z Y, Wang L Y, Liu Y. Anisotropic properties of fracture toughness of white birch[J]. Mechanics and Engineering, 2004, 26(4): 47−49. doi: 10.3969/j.issn.1000-0879.2004.04.014
    [9]
    邵卓平, 任海青, 江泽慧. 木材横纹理断裂及强度准则[J]. 林业科学, 2003, 39(1):119−125. doi: 10.3321/j.issn:1001-7488.2003.01.020

    Shao Z P, Ren H Q, Jiang Z H. Fracture and strength criterion of wood horizontal texture[J]. Scientia Silvae Sinicae, 2003, 39(1): 119−125. doi: 10.3321/j.issn:1001-7488.2003.01.020
    [10]
    范文英, 徐虹, 龚蒙. 木材断裂韧性KIC测定方法的研究[J]. 南京林业大学学报(自然科学版), 1993, 17(3):80−82.

    Fan W Y, Xu H, Gong M. Study on the determination method of wood fracture toughness KIC[J]. Journal of Nanjing Forestry University (Natural Science Edition), 1993, 17(3): 80−82.
    [11]
    林兰英, 何盛, 傅峰, 等. 基于图像处理微波处理材裂纹评价[J]. 林业科学, 2014, 50(4):84−89.

    Lin L Y, He S, Fu F, et al. Evaluation of cracks in microwave processing materials based on image processing[J]. Scientia Silvae Sinicae, 2014, 50(4): 84−89.
    [12]
    Choi D, Thorpe J L, Hanna R B. Image analysis to measure strain in wood and paper[J]. Wood Science & Technology, 1991, 25(4): 251−262.
    [13]
    Yates J R, Zanganeh M, Tai Y H. Quantifying crack tip displacement fields with DIC[J]. Engineering Fracture Mechanics, 2010, 77(11): 2063−2076. doi: 10.1016/j.engfracmech.2010.03.025
    [14]
    Strojecki M, Łukomski M, Colla C, et al. Acoustic emission as a non-destructive method for tracing damage: from laboratory testing to monitoring historic structures[J]. RILEM Bookseries, 2012, 6: 1131−1136.
    [15]
    张志研. 木材损伤的声发射特征及裂纹扩展机理研究[D]. 北京: 北京林业大学, 2009.

    Zhang Z Y. Study on acoustic emission characteristics and crack propagation mechanism of wood damage[D]. Beijing: Beijing Forestry University, 2009.
    [16]
    Hu M, Johansson M, Olsson A, et al. Local variation of modulus of elasticity in timber determined on the basis of non-contact deformation measurement and scanned fibre orientation[J]. European Journal of Wood and Wood Products, 2015, 73(1): 17−27. doi: 10.1007/s00107-014-0851-3
    [17]
    Nagai H, Murata K, Nakano T. Strain analysis of lumber containing a knot during tensile failure[J]. Journal of Wood Science, 2011, 57(2): 114−118. doi: 10.1007/s10086-010-1154-x
    [18]
    Keunecke D, Novosseletz K, Lanvermann C, et al. Combination of X-ray and digital image correlation for the analysis of moisture-induced strain in wood: opportunities and challenges[J]. European Journal of Wood and Wood Products, 2012, 70(4): 407−413. doi: 10.1007/s00107-011-0573-8
    [19]
    王丽宇, 鹿振友, 赵东, 等. 白桦材LT型裂纹的演化与增长行为的研究[J]. 北京林业大学学报, 2002, 24(2):61−63.

    Wang L Y, Lu Z Y, Zhao D, et al. Study on evolution and growth behavior of LT cracks in white birch[J]. Journal of Beijing Forestry University, 2002, 24(2): 61−63.
    [20]
    张喆. 数字散斑相关法测量木材断裂韧性的应用研究[D]. 北京: 北京林业大学, 2013.

    Zhang Z. Application of digital scattered work correlation method to measure fracture toughness of wood[D]. Beijing: Beijing Forestry University, 2013.
    [21]
    Beall F C. Overview of the use of ultrasonic technologies in research on wood properties[J]. Wood Science & Technology, 2002, 36(3): 197−212.
    [22]
    Aicher S, HoFflin L, Dill-Langer G. Damage evolution and acoustic emission of wood at tension perpendicular to fiber[J]. Holz als Roh-und Werkstoff, 2001, 59(1−2): 104−116. doi: 10.1007/s001070050482
    [23]
    Booker J D. Acoustic emission related to instantaneous strain in Tasmanian eucalypt timber during seasoning[J]. Wood Science & Technology, 1994, 28(4): 249−259.
    [24]
    Ardalany M, Deam B, Fragiacomo M. Experimental results of fracture energy and fracture toughness of radiata pine laminated veneer lumber (LVL) in model I (opening)[J]. Materials and Structures, 2012, 45(8): 1189−1205. doi: 10.1617/s11527-012-9826-1
    [25]
    邵卓平, 陈品, 查朝生, 等. 木材损伤断裂过程的声发射特性与Felicity效应[J]. 林业科学, 2009, 45(2):86−91. doi: 10.3321/j.issn:1001-7488.2009.02.016

    Shao Z P, Chen P, Zha C S, et al. Acoustic emission characteristics and felicity effect of wood damage and fracture process[J]. Scientia Silvae Sinicae, 2009, 45(2): 86−91. doi: 10.3321/j.issn:1001-7488.2009.02.016
    [26]
    Diakhate M, Bastidas-Arteaga E, Moutou P R, et al. Cluster analysis of acoustic emission activity within wood material: towards a real-time monitoring of crack tip propagation[J]. Engineering Fracture Mechanics, 2017, 180: 254−267. doi: 10.1016/j.engfracmech.2017.06.006
    [27]
    Zhang H, Fu D H, Song H P, et al. Damage and fracture investigation of three-point bending notched sandstone beams by DIC and AE techniques[J]. Rock Mechanics and Rock Engineering, 2015, 48(3): 1297−1303. doi: 10.1007/s00603-014-0635-4
    [28]
    Lu Y L, Li W S, Wang L G, et al. In-situ microscale visualization experiments on microcracking and microdeformation behaviour around a pre-crack tip in a three-point bending sandstone[J]. International Journal of Rock Mechanics and Mining Sciences, 2019, 114: 175−185. doi: 10.1016/j.ijrmms.2019.01.002
    [29]
    Farhidzadeh A, Mpalaskas A C, Matikas T E, et al. Fracture mode identification in cementitious materials using supervised pattern recognition of acoustic emission features[J]. Construction and Building Materials, 2014, 67: 129−138. doi: 10.1016/j.conbuildmat.2014.05.015
    [30]
    Wildemann V E, Spaskova E V, Shilova A I. Research of the damage and failure processes of composite materials based on acoustic emission monitoring and method of digital image correlation[J]. Solid State Phenomena, 2015, 243: 8.
    [31]
    Malumbela G, Alexander M, Moyo P. Lateral deformation of RC beams under simultaneous load and steel corrosion[J]. Construction and Building Materials, 2010, 24: 17−24. doi: 10.1016/j.conbuildmat.2009.08.005
  • Related Articles

    [1]Zhao Dong, Ma Rongyu, Yu Lichuan, Zhao Jian, Liu Jiahui. Monitoring and identification of microscopic damage during fir loading based on empirical modal decomposition and wavelet packet energy entropy[J]. Journal of Beijing Forestry University, 2024, 46(3): 123-131. DOI: 10.12171/j.1000-1522.20230365
    [2]Yuan Wenwen, Zhang Jinsong, Meng Ping, Tong Xiaojuan, Zhou Yu, Li Pengxing. Determination of the average period of CH4 flux in a mixed plantation in Xiaolangdi Area of the Yellow River based on eddy covariance method[J]. Journal of Beijing Forestry University, 2020, 42(10): 55-61. DOI: 10.12171/j.1000-1522.20200003
    [3]Jia Daoxiang, Liu Pengju, Zhang Yingkai, Liu Changchun, Sun Yongming. Smoke and fire positioning method in the image based on terrain profile matching[J]. Journal of Beijing Forestry University, 2018, 40(6): 19-29. DOI: 10.13332/j.1000-1522.20170439
    [4]WEN Yu-xin, ZHAO Jian, ZHAO Dong. Experimental study on the effects of holes on bending strain distribution of wood beams[J]. Journal of Beijing Forestry University, 2017, 39(11): 106-113. DOI: 10.13332/j.1000-1522.20170221
    [5]ZHAO Xiao-mao, JIAO Liang-liang, ZHAO Jian, ZHAO Dong. Acoustic emission attenuation and source location on the bending failure of the rectangular mortise-tenon joint for wood structures[J]. Journal of Beijing Forestry University, 2017, 39(1): 107-111. DOI: 10.13332/j.1000-1522.20160150
    [6]YANG Kai-yue, ZHAO Chun-mei, DING Kun, XU Sheng-ji, LI Qing-yu, ZHOU Ru-liang. A method of highly accurate geometric correction for MODIS images based on SRTM3.[J]. Journal of Beijing Forestry University, 2015, 37(10): 130-137. DOI: 10.13332/j.1000-1522.20150050
    [7]HAO Yan-hua, ZHANG Xiang-xue, DING Xiao-kang, LIU Jiao. Analysis and measurement of ultrasonic acoustic emissions from the cavitation in xylem sap.[J]. Journal of Beijing Forestry University, 2012, 34(3): 36-40.
    [8]XI Ru-chun, DENG Xiao-mei, MA Lü-yi. Characteristics of acoustic emission wave parameter of xylem cavitation in Pinus tabulaeformis[J]. Journal of Beijing Forestry University, 2011, 33(6): 151-156.
    [9]ZHONG Jian, LI Hong-qi, CUI Xiao-peng, LIU Yan, LU Zhen-you, SHEN Shi-jie. Application of the digital speckle correlation method on timber with finger-joints[J]. Journal of Beijing Forestry University, 2006, 28(4): 12-16.
    [10]YANG Hua, MENG Xian-yu, LIU Yan, CHENG Jun. Measurement and calculation methods of stem image information.[J]. Journal of Beijing Forestry University, 2005, 27(1): 51-54.
  • Cited by

    Periodical cited type(15)

    1. 李潇潇. 古建筑木构件损伤及耐久性研究综述. 低温建筑技术. 2025(01): 16-19 .
    2. 麻胜兰,陈志宁,邵顺安,姜绍飞,许跃飞. 基于声发射多参数耦合的木材裂缝检测方法. 建筑结构. 2024(02): 136-144 .
    3. 赵东,马荣宇,于立川,赵健,刘嘉辉. 基于经验模态分解和小波包能量熵的杉木加载过程中细观损伤监测与识别. 北京林业大学学报. 2024(03): 123-131 . 本站查看
    4. 刘佳,于孟言,高珊,陈昱龙,冯蔓萱,杜鑫宇. 基于AE-BP模型的杨木胶合板应力损伤识别. 中南林业科技大学学报. 2024(04): 169-179 .
    5. 张萌,王灵芝,李守宇,张庆文,杨宇彤. 不同变量圆竹建筑填充组合节点轴压损伤声发射特性研究. 林产工业. 2024(07): 17-22 .
    6. 刘陈陈,黄奥,李昇昊,陈昕煜,顾华志. 基于机器视/听觉的耐火材料蚀损行为表征评价研究进展. 钢铁研究学报. 2024(10): 1247-1266 .
    7. 何佳明,李猛,蔡高洁,胡彬,佘艳华. 不同含水率雪松木的裂纹演化规律试验研究. 科学技术与工程. 2023(05): 1888-1894 .
    8. 李猛,佘艳华,何学杰,王俊辉,何佳明. 基于PZT和DIC对木构件榫卯松动监测试验研究. 林产工业. 2023(06): 20-26 .
    9. 李猛,佘艳华,贺才豪,何佳明,陈迪. 不同温度下的柏木构件顺纹压缩损伤规律研究. 西南林业大学学报(自然科学). 2023(05): 153-163 .
    10. 赖菲,王明华,肖洒,丁锐,罗蕊寒,邓婷婷,李明. 应用声发射技术和图像分形理论对樟子松木材裂纹演化特征的检测. 东北林业大学学报. 2022(07): 89-93 .
    11. 邢雪峰,李善明,金菊婉,林兰英,周永东,傅峰. 高能微波处理辐射松木材的抗弯力学性能与损伤演化特征. 北京林业大学学报. 2022(08): 107-116 . 本站查看
    12. 邢雪峰,李善明,周永东,林兰英,傅峰. 声发射技术在木质材料损伤监测中的应用研究进展. 世界林业研究. 2022(06): 63-68 .
    13. 杨丽华. 基于数字林业技术加强林业管理的研究. 造纸装备及材料. 2022(11): 96-98 .
    14. 陈泽华,杨小军,张璐,董浩然,赵琦. 防腐处理胶合木的层间界面断裂韧性研究. 森林与环境学报. 2021(02): 219-224 .
    15. 杜永刚,周伟,刘朔,刘亚萍,刘佳,马连华. 含夹渣缺陷Q245R钢的声发射特性和DIC研究. 电子测量技术. 2021(18): 1-6 .

    Other cited types(9)

Catalog

    Article views (9580) PDF downloads (96) Cited by(24)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return