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Identification of crack development in granite under triaxial compression based on the acoustic emission signal

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Listed:
  • Tianzuo Wang
  • Linxiang Wang
  • Fei Xue
  • Mengya Xue

Abstract

To explore the development mechanism of cracks in the process of rock failure, triaxial compression tests with simultaneous acoustic emission monitoring were performed on granite specimens using the MTS rock mechanics test system. The frequency-domain information of the acoustic emission signal was obtained by the fast Fourier transform. The Gutenberg–Richter law was used to calculate the acoustic emission signals and obtain the b -value dynamic curve in the loading process. Combined with the stiffness curve of granite specimens and acoustic emission signal in the time domain and frequency domain, the crack development characteristics in different stages were analyzed. The results showed that the acoustic emission signals of granite samples under triaxial compression can be divided into four stages: quiet period 1, active stage 1, quiet period 2, and active stage 2. b -value attained its maximum value in the active phase 2 when it is close to the sample loss, and then drops rapidly, which means the propagation of cracks and the formation of large cracks. The acoustic emission signal’s dominant frequency was not more than 500 kHz, mostly concentrated in the medium-frequency band (100–200 kHz), which accounted for more than 80%. The proportion of signals in each frequency band can reflect the distribution of the three kinds of cracks, while the change in low-frequency signals can reflect the breakthrough of microcracks and the formation time of macrocracks in granite samples. By fully analyzing the characteristics of acoustic emission signals in the time domain and frequency domain, the time and conditions of producing large cracks can be determined accurately and efficiently.

Suggested Citation

  • Tianzuo Wang & Linxiang Wang & Fei Xue & Mengya Xue, 2021. "Identification of crack development in granite under triaxial compression based on the acoustic emission signal," International Journal of Distributed Sensor Networks, , vol. 17(1), pages 15501477209, January.
    • Handle: RePEc:sae:intdis:v:17:y:2021:i:1:p:1550147720986116
    DOI: 10.1177/1550147720986116
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    References listed on IDEAS

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    1. Yang Tang & Seisuke Okubo & Jiang Xu & Shoujian Peng, 2018. "Study on the Progressive Failure Characteristics of Coal in Uniaxial and Triaxial Compression Conditions Using 3D-Digital Image Correlation," Energies, MDPI, vol. 11(5), pages 1-13, May.
    2. Jun Peng & Sheng-Qi Yang, 2018. "Comparison of Mechanical Behavior and Acoustic Emission Characteristics of Three Thermally-Damaged Rocks," Energies, MDPI, vol. 11(9), pages 1-17, September.
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    1. Jiaxing Qiao & Gang Wang & Leibo Song & Xiqi Liu & Changbing Zhou & Yong Niu & Bolong Liu, 2024. "Mechanical properties and the mechanism of microscopic thermal damage of basalt subjected to high-temperature treatment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(1), pages 41-61, January.

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