2019
DOI: 10.1002/ese3.289
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Acoustic emission monitoring technology for coal and gas outburst

Abstract: In recent years, with the increase in mining depth and strength, coal‐rock gas dynamic disasters, such as coal and gas outburst, have shown an increasing trend. Acoustic emission (AE) technology has been viewed as a promising method that can effectively forecast coal and gas dynamic disasters. This paper first tests the AE characteristics of coal and rock samples during loading. Then, self‐developed AE continuous monitoring and early warning equipment is used to monitor and predict the coal and gas outburst dy… Show more

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Cited by 36 publications
(13 citation statements)
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“…With further unloading, large numbers of cracks can be observed around the excavation boundaries. The strain rockburst is triggered once the accumulated strain energy exceeds the surface energy required for rock fracturing . Because of the unwanted corners, the cubic hole will cause severe roof caving and floor heaving and even intense dynamic hazards.…”
Section: Resultsmentioning
confidence: 99%
“…With further unloading, large numbers of cracks can be observed around the excavation boundaries. The strain rockburst is triggered once the accumulated strain energy exceeds the surface energy required for rock fracturing . Because of the unwanted corners, the cubic hole will cause severe roof caving and floor heaving and even intense dynamic hazards.…”
Section: Resultsmentioning
confidence: 99%
“…They found that mining depth is the most significant factor among all factors, and distance from fault is the most significant contributing factor to outburst. Li et al [11] investigated the acoustic emissions (AE) characteristics of coal and rock samples under loading and monitored and predicted the coal and gas outburst dynamic disasters at the working face using self-developed AE continuous monitoring and early warning equipment. It was found that coal and gas outbursts occurred in stress post-peak zone.…”
Section: Of 13mentioning
confidence: 99%
“…This traditional coal and gas outburst prediction is an empirical sampling‐based, discontinuous, and localized prediction method, which cannot fully meet the needs of high‐yield, high‐efficiency mine safety production. The noncontact dynamic prediction method is the method for assessing outburst risk by monitoring the physical properties of sound, electricity, magnetism, and thermal and gas emission in the initiation process of coal and gas outburst, including the AE acoustic emission signal, electric radiation detection, gas emission, and microseismic monitoring methods . These methods are dynamic and continuous in time and space, and only require minimal work.…”
Section: Introductionmentioning
confidence: 99%