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Volume 42 Issue 10
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HU Zhi-hua, HU Yu-hao, MA Dong-tao, YUAN Lu, LI Mei. Experimental study on acoustic waves of different types of debris flow using generalized S transform[J]. Chinese Journal of Geotechnical Engineering, 2020, 42(10): 1962-1968. DOI: 10.11779/CJGE202010023
Citation: HU Zhi-hua, HU Yu-hao, MA Dong-tao, YUAN Lu, LI Mei. Experimental study on acoustic waves of different types of debris flow using generalized S transform[J]. Chinese Journal of Geotechnical Engineering, 2020, 42(10): 1962-1968. DOI: 10.11779/CJGE202010023
shu

Experimental study on acoustic waves of different types of debris flow using generalized S transform

  • 1.

    Key Laboratory of Mountain Hazards and Earth Surface Process, CAS, Institute of Mountain Hazards and Environment, CAS, Chengdu 610041, China

  • 2.

    University of Chinese Academy of Sciences, Beijing 100049, China

  • 3.

    CCTEG Chongqing Engineering Co., Ltd., Chongqing 400016, China

  • 4.

    Construction Investment and Management Co., Ltd., CDCI, Chengdu 610037, China

  • 5.

    China University of Geosciences, Beijing 100083, China

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  • Received Date: January 07, 2020
  • Available Online: December 07, 2022
    Graphical Abstract
    • Abstract
  • The physical model tests in laboratory for debris flow with three types of sub-viscous, intermediate and viscous debris flows are performed. By introducing the window function parameters, a generalized S transform is proposed to analyze the time-frequency characteristics for acoustic signals of different types of debris flows. At the same time, in view of the shortcomings of the traditional Fourier transform, a wavelet packet transform method is used to extract the distribution characteristics of frequency band energy of the acoustic signals. The results show that: (1) Compared with the traditional time-frequency analysis methods, the generalized S transform has excellent time-frequency focus and resolution. (2) With the increase of the bulk density of debris flow, the peak frequency of debris flow moves to low frequency. (3) The signals are decomposed into 8 frequency bands (0 ~ 6.25, 6.25 ~ 12.5, 12.5 ~ 18.75, 18.75 ~ 25, 25 ~ 31.25, 31.25 ~ 37.5, 37.5~43.75, 43.75 ~ 50 Hz) by using the wavelet packet transform, the sub-viscous debris flow is mainly distributed in S6-8, and the intermediate and viscous debris flows are concentrated in S2-4. (4) Comprehensive identification of different types of debris flows can be realized based on the frequency range and frequency band energy of acoustic signals.
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    • References (17)
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