Geomechanics and Engineering

  • 제25권2호
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  • Pages.135-142
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  • 2021
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  • 2005-307X(pISSN)
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  • 2092-6219(eISSN)
테크노프레스 (Techno-Press)
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DOI QR Code

Cluster and information entropy analysis of acoustic emission during rock failure process

  • Zhang, Zhenghu (State Key Laboratory of the Coastal and Offshore Engineering, School of Civil Engineering, Dalian University of Technology) ;
  • Hu, Lihua (State Key Laboratory of the Coastal and Offshore Engineering, School of Civil Engineering, Dalian University of Technology) ;
  • Liu, Tiexin (Department of Civil Engineering, Dalian Maritime University) ;
  • Zheng, Hongchun (China Three Gorges Corporation) ;
  • Tang, Chun'an (State Key Laboratory of the Coastal and Offshore Engineering, School of Civil Engineering, Dalian University of Technology)
  • 투고 : 2020.08.04
  • 심사 : 2021.04.02
  • 발행 : 2021.04.25
⟨ 이전 논문 다음 논문 ⟩

초록

This study provided a new research perspective for processing and analyzing AE data to evaluate rock failure. Cluster method and information entropy theory were introduced to investigate temporal and spatial correlation of acoustic emission (AE) events during the rock failure process. Laboratory experiments of granite subjected to compression were carried out, accompanied by real-time acoustic emission monitoring. The cumulative length and dip angle curves of single links were fitted by different distribution models and distribution functions of link length and directionality were determined. Spatial scale and directionality of AE event distribution, which are characterized by two parameters, i.e., spatial correlation length and spatial correlation directionality, were studied with the normalized applied stress. The entropies of link length and link directionality were also discussed. The results show that the distribution of accumulative link length and directionality obeys Weibull distribution. Spatial correlation length shows an upward trend preceding rock failure, while there are no remarkable upward or downward trends in spatial correlation directionality. There are obvious downward trends in entropies of link length and directionality. This research could enrich mathematical methods for processing AE data and facilitate the early-warning of rock failure-related geological disasters.

키워드

참고문헌

  1. Aggelis, D.G. (2011), "Classification of cracking mode in concrete by acoustic emission parameters", Mech. Res. Commun., 38(3), 153-157. https://doi.org/10.1016/j.mechrescom.2011.03.007.
  2. Brace, W.F., Paulding, B.W. and Scholz, C. (1966), "Dilatancy in the fracture of crystalline rocks", J. Geophys. Res., 71(16), 3939-3953. https://doi.org/10.1029/jz071i016p03939.
  3. Chen, Y. and Irfan, M. (2018), "Experimental study of Kaiser effect under cyclic compression and tension tests", Geomech. Eng., 14(2), 203-209. http://doi.org/10.12989/gae.2018.14.2.203.
  4. Cheon, D.S., Jung, Y.B., Park, E.S., Song, W.K. and Jang, H.I. (2011), "Evaluation of damage level for rock slopes using acoustic emission technique with waveguides", Eng. Geol., 121(1-2), 75-88. https://doi.org/10.1016/j.enggeo.2011.04.015.
  5. Diederichs, M.S., Kaiser, P.K. and Eberhardt, E. (2004), "Damage initiation and propagation in hard rock during tunnelling and the influence of near-face stress rotation", Int. J. Rock Mech. Min. Sci., 41(5), 785-812. https://doi.org/10.1016/j.ijrmms.2004.02.003.
  6. Elbatanouny, M.K., Larosche, A., Mazzoleni, P., Ziehl, P.H., Matta, F. and Zappa, E. (2014), "Identification of cracking mechanisms in scaled FRP reinforced concrete beams using acoustic emission", Exp. Mech., 54(1), 69-82. https://doi.org/10.1007/s11340-012-9692-3.
  7. Ferreira, M.R.P., Carvalho, F.D.A.T.D. and Simoes, E.C. (2016), "Kernel-based hard clustering methods with kernelization of the metric and automatic weighting of the variables", Pattern Recogn., 51, 310-321. https://doi.org/10.1016/j.patcog.2015.09.025.
  8. Frohlich, C. and Davis, S.D. (1990), "Single-link cluster analysis as a method to evaluate spatial and temporal properties of earthquake catalogues", Geophys. J. Int., 100(1), 19-32. https://doi.org/10.1111/j.1365-246X.1990.tb04564.x.
  9. Gordon, A.D. (1999), Classification, 2nd Edition, Chapman & Hall, Boca Raton, Florida, U.S.A.
  10. Hirata, T., Satoh, T. and Ito, K. (1987), "Fractal structure of spatial distribution of microfracturing in rock", Geophys. J. Int., 90(2), 369-374. https://doi.org/10.1111/j.1365-246X.1987.tb00732.x.
  11. Jain, A.K., Murty, M.N. and Flynn, P.J. (1999), "Data clustering: A review", ACM Comput. Surv., 31, 233-264. https://doi.org/10.1145/331499.331504.
  12. Karser, J. (1950), "A study of acoustic emission phenomena in tensile tests", Technische Hochschule Munchen, Munich, Germany.
  13. Kim, J.S., Lee, K.S., Cho, W.J., Choi, H.J. and Cho, G.C. (2015), "A comparative evaluation of stress-strain and acoustic emission methods for quantitative damage assessments of brittle rock", Rock Mech. Rock Eng., 48, 495-508. https://doi.org/10.1007/s00603-014-0590-0.
  14. Kim, J., Kim, G., Baik, M., Finsterle, S. and Cho, G. (2019), "A new approach for quantitative damage assessment of in-situ rock mass by acoustic emission", Geomech. Eng., 18(1), 11-20. http://doi.org/10.12989/gae.2019.18.1.011.
  15. Kong, X., Wang, E., He, X., Li, D. and Liu, Q. (2017), "Time-varying multifractal of acoustic emission about coal samples subjected to uniaxial compression", Chaos Soliton Fract., 103, 571-577. https://doi.org/10.1016/j.chaos.2017.07.015.
  16. Lei, X., Masuda, K., Nishizawa, O., Jouniaux, L., Liu, L., Ma, W., Satoh, T. and Kusunose, K. (2004), "Detailed analysis of acoustic emission activity during catastrophic fracture of faults in rock", J. Struct. Geol., 26(2), 247-258. https://doi.org/10.1016/S0191-8141(03)00095-6.
  17. Li, Y.H., Liu, J.P., Zhao, X.D. and Yang, Y.J. (2010), "Experimental studies of the change of spatial correlation length of acoustic emission events during rock fracture process", Int. J. Rock Mech. Min. Sci., 47(8), 1254-1262. https://doi.org/10.1016/j.ijrmms.2010.08.002.
  18. Morgan, S.P., Johnson, C.A. and Einstein, H.H. (2013), "Cracking processes in barre granite: Fracture process zones and crack coalescence", Int. J. Fract., 180(2), 177-204. https://doi.org/10.1007/s10704-013-9810-y.
  19. Ohnaka, M. and Mogi, K. (1982), "Frequency characteristics of acoustic emission in rocks under uniaxial compression and its relation to the fracturing process to failure", J. Geophys. Res. Sol. Ea., 87(B5), 3873-3884. https://doi.org/10.1029/JB087iB05p03873.
  20. Prikryl, R., Lokajicek, T., Li, C. and Rudajev, V. (2003), "Acoustic emission characteristics and failure of uniaxially stressed granitic rocks: The effect of rock fabric", Rock Mech. Rock Eng., 36(4), 255-270. https://doi.org/10.1007/s00603-003-0051-7.
  21. Read, M.D., Ayling, M.R., Meredith, P.G. and Murrell, S.A.F. (1995), "Microcracking during triaxial deformation of porous rocks monitored by changes in rock physical properties, II. Pore volumometry and acoustic emission measurements on water-saturated rocks", Tectonophysics, 245(3-4), 223-235. https://doi.org/10.1016/0040-1951(94)00236-3.
  22. Rodriguez, P. and Celestino, T.B. (2019), "Application of acoustic emission monitoring and signal analysis to the qualitative and quantitative characterization of the fracturing process in rocks", Eng. Fract. Mech., 210, 54-69. https://doi.org/10.1016/j.engfracmech.2018.06.027.
  23. Scholtz, C.H. (1968), "The frequency-magnitude relation of microfracturing in rock and its relation to earthquakes", B. Seismol. Soc. Am., 58(1), 399-415. https://doi.org/10.1109/IGARSS.2013.6723499.
  24. Shannon, C.E. (1948), "A mathematical theory of communication", Bell Syst. Tech. J., 27(3), 379-423. https://doi.org/10.1002/j.1538-7305.1948.tb00917.x.
  25. Shiotani, T., Ohtsu, M. and Ikeda, K. (2001), "Detection and evaluation of AE waves due to rock deformation", Constr. Build. Mater., 15(5-6), 235-246. https://doi.org/10.1016/S0950-0618(00)00073-8.
  26. Tyupkin, Y.S. and Giovambattista, R.D. (2005), "Correlation length as an indicator of critical point behavior prior to a large earthquake", Earth Planet Sc. Lett., 230(1-2), 85-96. https://doi.org/10.1016/j.epsl.2004.10.037.
  27. Xu, R. and Wunusch, D.I.I. (2005), "Survey of clustering algorithms", IEEE Trans. Neural Netw., 16, 645-678. https://doi.org/10.1109/TNN.2005.845141.
  28. Zhang, Z.H. and Deng, J.H. (2020), "A new method for determining the crack classification criterion in acoustic emission parameter analysis", Int. J. Rock Mech. Min. Sci., 130, 104323. https://doi.org/10.1016/j.ijrmms.2020.104323.
  29. Zhang, Z., Wang, E. and Li, N. (2017), "Temporal and spatial characteristics of coal-mine microseism based on single-link cluster", Geosci. J., 21(2), 223-233. https://doi.org/10.1007/s12303-016-0038-5.
  30. Zoller, G., Hainzl, S. and Kurths, J. (2001), "Observation of growing correlation length as an indicator for critical point behavior prior to large earthquakes", J. Geophys. Res. Sol. Ea., 106(B2), 2167-2175. https://doi.org/10.1029/2000JB900379.