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Study on Spectrum Characteristics and Clustering of Acoustic Emission Signals from Rock Fracture

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Abstract

Acoustic emission signals are relevant to the process of rock failure. In this paper, acoustic emission waveform signals during rock loading are acquired through uniaxial compression test of granite in laboratory. Short-time Fourier transform is used to analyze the acoustic emission signals during rock fracture to obtain the peak frequency. Based on the peak frequency of acoustic emission, four types of acoustic emission signals are classified by using fuzzy C-means method. The parameters of different types of acoustic emission signals are analyzed, which include ring count, duration, amplitude and energy. Meanwhile, the progressive propagation of surface cracks in rock specimens is quantitatively analyzed by digital image correlation (DIC) technology. The result shows that different types of acoustic emission signals correspond to different strength of rock fracture. Before rock fracture, high-count, long-duration and high-energy precursory characteristic signals appear intensively. The event density \( {\text{Den}}_{t} = 1 \) is taken as the early warning threshold of rock fracture through the quantitative analysis of acoustic emission signal. The present results of the research show the usefulness of the DIC and acoustic emission techniques in experiment of that type.

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References

  1. A. Bashari, M. Beiki, A. Talebinejad, Estimation of deformation modulus of rock masses by using fuzzy clustering-based modeling. Int. J. Rock Mech. Min. Sci. 48(8), 1224–1234 (2011)

    Article  Google Scholar 

  2. Y. Chen, Z. Wei, J. Xu, X. Tang, H. Yang, S. Li, Experimental research on the acoustic emission characteristics of rock under uniaxial compression. J. China Coal Soc. 36(Supp. 2), 237–240 (2011)

    Google Scholar 

  3. K. Cui, X. Qin, Virtual reality research of the dynamic characteristics of soft soil under metro vibration loads based on BP neural networks. Neural Comput. Appl. 29(5), 1233–1242 (2018)

    Article  Google Scholar 

  4. K. Cui, T. Zhao, Unsaturated dynamic constitutive model under cyclic loading. Clust. Comput. 20(4), 2869–2879 (2017)

    Article  MathSciNet  Google Scholar 

  5. F. Dai, B. Li, N. Xu, Y. Fan, J. Xu, J. Liu, Microseismic characteristic analysis of underground powerhouse at Baihetan hydropower station subjected to excavation. Chin. J. Rock Mech. Eng. 35(4), 692–703 (2016)

    Google Scholar 

  6. E. Eberhardt, D. Stead, B. Stimpson, R.S. Read, Identifying crack initiation and propagation thresholds in brittle rock. Can. Geotech. J. 35(2), 222–233 (1998)

    Article  Google Scholar 

  7. E. Eberhardt, D. Stead, B. Stimpson, Quantifying progressive pre-peak brittle fracture damage in rock during uniaxial compression. Int. J. Rock Mech. Min. Sci. 36(3), 361–380 (1999)

    Article  Google Scholar 

  8. P. Ganne, A. Vervoort, M. Wevers, Quantification of pre-peak brittle damage: correlation between acoustic emission and observed micro-fracturing. Int. J. Rock Mech. Min. Sci. 44(5), 720–729 (2007)

    Article  Google Scholar 

  9. Y. Gong, Z. Song, M. He, W. Gong, F. Ren, Precursory waves and eigenfrequencies identified from acoustic emission data based on singular spectrum analysis and laboratory rock-burst experiments. Int. J. Rock Mech. Min. Sci. 91, 155–169 (2017)

    Article  Google Scholar 

  10. M. He, F. Zhao, Y. Zhang, S. Du, L. Guan, Feature evolution of dominant frequency components in acoustic emissions of instantaneous strain-type granitic rockburst simulation tests. Rock Soil Mech. 36(1), 1–8 (2015)

    Google Scholar 

  11. E. Hoek, C.D. Martin, Fracture initiation and propagation in intact rock: a review. J. Rock Mech. Geotech. Eng. 6(4), 287–300 (2014)

    Article  Google Scholar 

  12. W. Hu, A. Wu, S. Chen, S. Huang, L. Zhang, Mechanical properties of columnar jointed basalt rock with hidden fissures under uniaxial loading. Chin. J. Rock Mech. Eng. 36(8), 1880–1888 (2017)

    Google Scholar 

  13. H. Ji, X. Lu, Characteristics of acoustic emission and rock fracture precursors of granite under conventional triaxial compression. Chin. J. Rock Mech. Eng. 34(4), 694–702 (2015)

    Google Scholar 

  14. J. Kim, K. Lee, W. Cho, H. Choi, G. Cho, A comparative evaluation of stress–strain and acoustic emission methods for quantitative damage assessments of brittle rock. Rock Mech. Rock Eng. 48(2), 495–508 (2015)

    Article  Google Scholar 

  15. G.G. Kumar, S.K. Sahoo, P.K. Meher, 50 years of FFT algorithms and applications. Circuits Syst. Signal Process. (2019). https://doi.org/10.1007/s00034-019-01136-8

    Article  Google Scholar 

  16. F. Lei, H. Li, Y. Gao, Y. Zhang, A color image segmentation method based on region salient color and fuzzy c-means algorithm. Circuits Syst. Signal Process (2019). https://doi.org/10.1007/s00034-019-01126-w

    Article  Google Scholar 

  17. B. Liu, J. Huang, Z. Wang, L. Liu, Study on damage evolution and acoustic emission character of coal-rock under uniaxial compression. Chin. J. Rock Mech. Eng. 28(Supp. 1), 3234–3238 (2009)

    Google Scholar 

  18. S. Liu, X. Li, Z. Li, P. Chen, X. Yang, Y. Liu, Energy distribution and fractal characterization of acoustic emission (AE) during coal deformation and fracturing. Measurement 136, 122–131 (2018)

    Article  Google Scholar 

  19. Y. Lv, Q. Liu, Y. Hu, Damage deformation characteristics and its strength criterion based on unloading experiments of granites. Chin. J. Rock Mech. Eng. 28(10), 2096–2103 (2009)

    Google Scholar 

  20. Y. Lv, Q. Liu, H. Jiang, Study of mechanical deformation characteristics of granite in unloading experiments of high stress. Rock Soil Mech. 31(2), 337–344 (2010)

    Google Scholar 

  21. G. Manthei, Application of the cluster analysis and time statistic of acoustic emission events from tensile test of a cylindrical rock salt specimen. Eng. Fract. Mech. (2018). https://doi.org/10.1016/j.engfracmech.2018.05.039

    Article  Google Scholar 

  22. C.D. Martin, R. Christiansson, Estimating the potential for spalling around a deep nuclear waste repository in crystalline rock. Int. J. Rock Mech. Min. Sci. 46(2), 219–228 (2009)

    Article  Google Scholar 

  23. C.D. Martin, P.K. Kaiser, D.R. McCreath, Hoek–Brown parameters for predicting the depth of brittle failure around tunnels. Can. Geotech. J. 36(1), 136–151 (1999)

    Article  Google Scholar 

  24. R.S. Read, 20 years of excavation response studies at AECL’s underground research laboratory. Int. J. Rock Mech. Min. Sci. 41(8), 1251–1275 (2004)

    Article  Google Scholar 

  25. C. Tang, X. Xu, Evolution and propagation of material defects and kaiser effect function. J. Seismol. Res. 13(2), 203–213 (1990)

    Google Scholar 

  26. A. Thirumalaiselvi, S. Sasmal, Acoustic emission monitoring and classification of signals in cement composites during early-age hydration. Constr. Build. Mater. 196, 411–427 (2019)

    Article  Google Scholar 

  27. X. Wu, J. Liu, X. Liu, K. Zhao, Y. Zhang, Study on the coupled relationship between AE accumulative ring-down count and damage constitutive model of rock. J. Min. Saf. Eng. 32(1), 28–34 (2015)

    Google Scholar 

  28. H. Xie, Y. Ju, L. Li, Criteria for strength and structural failure of rocks based on energy dissipation and energy release principles. Chin. J. Rock Mech. Eng. 24(17), 3003–3010 (2005)

    Google Scholar 

  29. Y. Yang, N. Xu, T. Li, F. Dai, Y. Fan, J. Xu, B. Li, Stability analysis of left bank rock slope at Baihetan hydropower station based on RFPA3D software and microseismic monitoring. Rock Soil Mech. 39(6), 2202–3193 (2018)

    Google Scholar 

  30. P. Zeng, Y. Liu, H. Ji, Coupling criteria and precursor identification characteristics of multi-band acoustic emission of gritstone fracture under uniaxial compression. Chin. J. Geotech. Eng. 39(3), 509–517 (2016)

    Google Scholar 

  31. Y. Zhang, P. Liang, X. Liu, S. Liu, B. Tian, Experimental study on precursor of rock burst based on acoustic emission signal dominant-frequency and entropy. Chin. J. Rock Mech. Eng. 34(Supp. 1), 2959–2967 (2015)

    Google Scholar 

  32. Y. Zhang, G. Yu, B. Tian, X. Liu, P. Liang, Y. Wang, Experimental study of acoustic emission signal dominant-frequency characteristics of rockburst in a granite tunnel. Rock Soil Mech. 38(5), 1258–1266 (2017)

    Google Scholar 

  33. Y. Zhang, Z. Yang, X. Yao, B. Tian, X. Liu, P. Liang, Experimental study on rockburst acoustic emission signal and fracture characteristics in granite roadway. J. China Coal Soc. 43(1), 95–104 (2018)

    Google Scholar 

  34. C. Zhang, Z. Liu, C. Zhang, H. Zhou, Y. Gao, J. Hou, Experimental study on rupture evolution and failure characteristics of aphanitic basalt. Rock Soil Mech. 40(7), 1–11 (2019)

    Google Scholar 

  35. X. Zhao, C. Tang, Y. Li, R. Yuan, J. Zhang, Study on AE activity characteristics under uniaxial compression loading. Chin. J. Rock Mech. Eng. 25(Supp. 2), 3673–3678 (2006)

    Google Scholar 

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Acknowledgements

The support of Chinese Natural Science Foundation (Nos. 51574102, 51774138, 51804122) and Hebei Natural Science Foundation Project (No. E2017209241) is gratefully acknowledged.

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Authors and Affiliations

  1. School of Mining Engineering, North China University of Science and Technology, Tangshan, 063009, Hebei, China

    Yanbo Zhang, Wenrui Wu, Xulong Yao, Peng Liang, Lin Sun & Xiangxin Liu

  2. Key Laboratory of Mining and Safety Technology of Hebei Province, Tangshan, 063009, Hebei, China

    Yanbo Zhang, Wenrui Wu, Xulong Yao, Peng Liang, Lin Sun & Xiangxin Liu

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  1. Yanbo Zhang
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Zhang, Y., Wu, W., Yao, X. et al. Study on Spectrum Characteristics and Clustering of Acoustic Emission Signals from Rock Fracture. Circuits Syst Signal Process 39, 1133–1145 (2020). https://doi.org/10.1007/s00034-019-01168-0

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