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Precursor Signal Identification and Acoustic Emission Characteristics of Coal Fracture Process Subjected to Uniaxial Loading

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  • Xiangguo Kong

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Key Laboratory of Western Mine and Hazard Prevention, Ministry of Education of China, Xi’an 710054, China)

  • Mengzhao Zhan

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Key Laboratory of Western Mine and Hazard Prevention, Ministry of Education of China, Xi’an 710054, China)

  • Yuchu Cai

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    School of Chemistry and Chemical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Pengfei Ji

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Key Laboratory of Western Mine and Hazard Prevention, Ministry of Education of China, Xi’an 710054, China)

  • Di He

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Key Laboratory of Western Mine and Hazard Prevention, Ministry of Education of China, Xi’an 710054, China)

  • Tianshuo Zhao

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Key Laboratory of Western Mine and Hazard Prevention, Ministry of Education of China, Xi’an 710054, China)

  • Jie Hu

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Key Laboratory of Western Mine and Hazard Prevention, Ministry of Education of China, Xi’an 710054, China)

  • Xi Lin

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Key Laboratory of Western Mine and Hazard Prevention, Ministry of Education of China, Xi’an 710054, China)

Abstract

In deep underground mine engineering, the critical warning signals before the sudden failure of coal are crucial to predict coal or rock dynamic catastrophes and to help the coal industry grow sustainably. Therefore, with the objective of accurately identifying the precursor signals of coal fracture, a uniaxial compression test was adopted. Tests were performed on multiple sets of raw coal samples, and acoustic emission (AE) technology was used to capture the deformation and destruction courses of the coal samples. Furthermore, the signal intensity of AE energy was discussed. Based on the critical slowing down theory, the AE energy sequence was processed. The results indicate that there are significant discrepancies in the strength of coal affected by initial pore fissures. During the whole loading process, the AE energy signals showed obvious stage characteristics, and there was a high risk of rapid coal energy storage during the unstable rupture development (URD) stage, which predicted the imminent destruction of the coal. The variance mutation point that was not affected by the lag step selection was easier to identify than that of the autocorrelation coefficient, and the precursor points were all in the URD stage, which is more accurate than using the AE cumulative energy curve slope.

Suggested Citation

  • Xiangguo Kong & Mengzhao Zhan & Yuchu Cai & Pengfei Ji & Di He & Tianshuo Zhao & Jie Hu & Xi Lin, 2023. "Precursor Signal Identification and Acoustic Emission Characteristics of Coal Fracture Process Subjected to Uniaxial Loading," Sustainability, MDPI, vol. 15(15), pages 1-17, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11581-:d:1203502
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    References listed on IDEAS

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    1. Kong, Xiangguo & Wang, Enyuan & He, Xueqiu & Li, Dexing & Liu, Quanlin, 2017. "Time-varying multifractal of acoustic emission about coal samples subjected to uniaxial compression," Chaos, Solitons & Fractals, Elsevier, vol. 103(C), pages 571-577.
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    Cited by:

    1. Dongming Wang & Yankun Ma & Xiaofei Liu & Dexing Li & Quanlin Liu & Hengze Yang & Xuelong Li, 2024. "Improving Mining Sustainability and Safety by Monitoring Precursors of Catastrophic Failures in Loaded Granite: An Experimental Study of Acoustic Emission and Electromagnetic Radiation," Sustainability, MDPI, vol. 16(3), pages 1-16, January.
    2. Sergey Sidorenko & Vyacheslav Trushnikov & Andrey Sidorenko, 2024. "Methane Emission Estimation Tools as a Basis for Sustainable Underground Mining of Gas-Bearing Coal Seams," Sustainability, MDPI, vol. 16(8), pages 1-22, April.
    3. Xiaoran Wang & Jinhua Wang & Xin Zhou & Xiaofei Liu & Shuxin Liu, 2024. "Mechanical Behaviors and Precursory Characteristics of Coal-Burst in Deep Coal Mining for Safety-Sustainable Operations: Insights from Experimental Analysis," Sustainability, MDPI, vol. 16(5), pages 1-20, March.

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