Geomechanics and Engineering

  • 제34권1호
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  • Pages.1-15
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  • 2023
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  • 2005-307X(pISSN)
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  • 2092-6219(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Time-frequency domain characteristics of intact and cracked red sandstone based on acoustic emission waveforms

  • Yong Niu (Key Laboratory of Rock Mechanics and Geohazards of Zhejiang Province, Shaoxing University) ;
  • Jinguo Wang (School of Earth Science and Engineering, Hohai University) ;
  • Yunjin Hu (Key Laboratory of Rock Mechanics and Geohazards of Zhejiang Province, Shaoxing University) ;
  • Gang Wang (Key Laboratory of Rock Mechanics and Geohazards of Zhejiang Province, Shaoxing University) ;
  • Bolong Liu (Key Laboratory of Rock Mechanics and Geohazards of Zhejiang Province, Shaoxing University)
  • 투고 : 2022.05.19
  • 심사 : 2023.04.18
  • 발행 : 2023.07.10
⟨ 이전 논문 다음 논문 ⟩

초록

This study conducts uniaxial compression tests on intact and single crack-contained rocks to investigate the time-frequency domain characteristics of acoustic emission (AE) signals monitored during the deformation failure process. A processing approach, short-time Fourier transform (STFT), is performed to obtain the evolution characteristics of time-frequency domain of AE signals. The AE signal modes at different deformation stages of rocks are different. Five modes of AE signal are observed during the cracking process of rocks. The evolution characteristics of time-frequency domain of AE signals processed by STFT can be utilized to evaluate the damage process of rocks. The difference of time-frequency domain characteristics between intact and cracked rocks is comparatively analyzed. The distribution characteristics of frequency changing from a single band-shaped cluster to multiple band-shaped clusters can be regarded as an early warning information of damage and failure of rocks. Meanwhile, the attenuation of frequency enables the exploration of rock failure trends.

키워드

과제정보

The research described in this paper was financially supported by the Shaoxing Basic Public Welfare Planning Project (Grant Nos. 2022A13004), the National Natural Science Foundation of China (Grant No. 41977256), the Zhejiang Natural Science Foundation (Grant No. LHZ21D020001) and the Scientific Research Fund Project of Shaoxing University (Grant No. 2021LG014).

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