Characteristics and Classification of Microseismic Signals in Heading Face of Coal Mine: Implication for Coal and Gas Outburst Warning

Shu, Longyong; Liu, Zhengshuai; Wang, Kai; Zhu, Nannan; Yang, Jian

doi:10.1007/s00603-022-03028-x

Cited by 24 publications

(16 citation statements)

References 40 publications

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Section: Resultsmentioning

confidence: 99%

“…The waveform parameters amplitude, rise time, and duration (illustrated in Figure 4A) also contain lots of information reflecting the coal failure, which were used to distinguish the microseismic signals of coal fracture. 8 Figure 5 shows the distribution of the amplitude, duration, and rise time during coal failure. In the nonfracture development stage, the amplitude of the AE waveform is mainly distributed in 40−75 and 40−55 dB for the intact coal and the deformed coal, respectively.…”

Section: Distribution Of Ae Signal Time Domain Characteristicsmentioning

confidence: 99%

“…Coal and gas outburst (hereafter outbursts) as one of the most serious disasters in coal mines threatens the safety of workers and the energy supply. , Previous studies on the outburst mechanism revealed that the stress, gas pressure, and physical and mechanical properties of coal in an abnormal geological zone determine the occurrence of outbursts. − The stress state and gas pressure in the front of the working face are influenced by the mining activities. , The acoustic emission (AE) event number/rate and gas emission that can reflect the stress state and gas pressure in the front of the working face in real time were used as precursors to warn about outbursts. , However, the accuracy of the outburst warning is limited using the AE event number/rate due to lots of interference signals existing in the field . More precursory information from the AE waveform characteristics should be explored, which is meaningful for characterizing the early warning of outbursts.…”

Section: Introductionmentioning

confidence: 99%

“… 6 , 7 The acoustic emission (AE) event number/rate and gas emission that can reflect the stress state and gas pressure in the front of the working face in real time were used as precursors to warn about outbursts. 8 , 9 However, the accuracy of the outburst warning is limited using the AE event number/rate due to lots of interference signals existing in the field. 10 More precursory information from the AE waveform characteristics should be explored, which is meaningful for characterizing the early warning of outbursts.…”

Section: Introductionmentioning

confidence: 99%

“… 24 − 27 The essential reason is that the AE statistical characteristics are seriously influenced by the accurate identification of coal failure due to lots of interference signals in the field. 8 , 28 The waveform characteristics widely used include amplitude, duration, rise time, dominant frequency, and frequency centroid. 28 − 30 Shen et al 31 studied the amplitude and dominant frequency properties of AE during the coal fracturing process and discussed the influence of water pressure on the amplitude and dominant frequency variation.…”

Section: Introductionmentioning

confidence: 99%

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Time–Frequency Characteristics and Evolution Law of Acoustic Emission Signals during the Deformation and Failure of Deformed Coal

et al. 2023

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The research on the time−frequency characteristics and evolution law of acoustic emission (AE) signals during deformed coal failure is more conducive to understand the damage mechanism of coal. In this study, the experiments of AE monitoring during the intact and deformed coal failure were first conducted under loading axial stress and unloading confining stress conditions. Based on the evolution characteristics of volume strain and AE event rate, the damage process of coal was divided into three stages: nonfracture development stage, stable development stage of fracture, and unstable development stage of fracture. The distribution and evolution of AE waveform time−frequency properties under different damage processes were then analyzed and discussed. Besides, the evolution of the average value of different time−frequency parameters per 200 s for the intact coal and per 25 s for the deformed coal was discussed. The results show that the amplitude of most AE events stabilizes in 40−50 dB during the intact and deformed coal failure. The average amplitude of the deformed coal has an approximate positive correlation with the loading stress. The percentage of AE events with longer duration and rise time increases suddenly before the peak stress for the intact coal and after the peak stress for the deformed coal, which corresponds to the abrupt increase property of the average duration and rise time. For the frequency properties, the peak frequency and frequency centroid of the intact coal are distributed within 50−125 and 75−150 kHz, with those of the deformed coal located within 20−120 and 80−130 kHz, respectively. The average peak frequency and frequency centroid of the intact coal show an upward trend except for the initial fracture closure stage, while the average peak frequency and average frequency centroid of the deformed coal present a downward trend before the peak stress and have a smaller growth after the peak stress. According to the above-mentioned analysis, the sudden increase of the average duration and rise time, the lower average peak frequency, and the lower frequency centroid can be regarded as the precursor for the instability and failure of deformed coal. This research can provide a new idea and theoretical guidance for the early warning of outbursts.

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Section: Resultsmentioning

confidence: 99%

Section: Distribution Of Ae Signal Time Domain Characteristicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Time–Frequency Characteristics and Evolution Law of Acoustic Emission Signals during the Deformation and Failure of Deformed Coal

et al. 2023

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Multifactor analysis of roof deformation and reasonable determination of the unsupported distance of a coal roadway heading face based on response surface method

Gong

Liu

2023

Energy Science & Engineering

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This paper is aimed at the problems of multiple factors influencing the roof stability near a heading face and unreasonable values of the unsupported distance leading to a slow excavation speed. The behavior of the direct roof subsidence in the unsupported area is analyzed, and numerical simulation and the response surface method are used to study the key factors affecting the roof deformation and their interaction relations. The results indicate that roof strength is the most critical factor affecting deformation and failure, followed by soft rock thickness, unsupported distance, and support strength. The interaction analysis in Zhaozhuang Coal Mine's 33082 lane shows that it is difficult to control the roof subsidence when the unsupported distance is more than 2 m and the soft rock thickness is more than 4 m. After the unsupported distance is set to about 2 m and the support strength is increased to 0.25 MPa, the excavation speed approximately doubles, and the overall roadway is stable and controllable. By implementing field applications, the rationality of the research approach was confirmed.

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Study on Failure Behaviors of Roofs with Varying Thicknesses in Longwall Coal Mining Working Face

Yang,

Yue,

et al. 2024

Rock Mech Rock Eng

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Characteristics and Classification of Microseismic Signals in Heading Face of Coal Mine: Implication for Coal and Gas Outburst Warning

Cited by 24 publications

References 40 publications

Time–Frequency Characteristics and Evolution Law of Acoustic Emission Signals during the Deformation and Failure of Deformed Coal

Time–Frequency Characteristics and Evolution Law of Acoustic Emission Signals during the Deformation and Failure of Deformed Coal

Multifactor analysis of roof deformation and reasonable determination of the unsupported distance of a coal roadway heading face based on response surface method

Study on Failure Behaviors of Roofs with Varying Thicknesses in Longwall Coal Mining Working Face

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