Statistical analysis of large accidents in China’s coal mines in 2016

Xiao, Wang; Meng, Fanbao

doi:10.1007/s11069-018-3211-5

Cited by 90 publications

(33 citation statements)

References 1 publication

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“…where σc is the peak stress of the combined coal-rock bodies during compression, and σr is the residual strength of the combined coal-rock bodies during compression. Based on the AE hits parameter, the damage variable of the combined coal-rock body under uniaxial compression condition is established as Equation (5). Figure 10 shows the damage variable curves of coal-rock combined bodies with different HRRC by Equation (5).…”

Section: Damage Variable Based On Ae Hitsmentioning

confidence: 99%

“…Based on the AE hits parameter, the damage variable of the combined coal-rock body under uniaxial compression condition is established as Equation (5). Figure 10 shows the damage variable curves of coal-rock combined bodies with different HRRC by Equation (5). It can be seen that the damage variable curves of coal-rock combined body have two stages.…”

Section: Damage Variable Based On Ae Hitsmentioning

confidence: 99%

“…With the increase of mining scale and intensity, rock bursts, coal-gas outburst, and other coal mine disasters are becoming more common [1][2][3][4]. According to statistics [5], from 2004 to 2016, a total of 20,980 coal mine accidents occurred in China, and most of them were caused by the damage of coal pillars. Coal pillar is a part of the coal-rock mass system, and its failure and instability is the result of the interaction of coal and rock mass, and is a weakening process of gradual development [6].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Acoustic Emission Characteristics and Damage Constitutive Model of Coal-Rock Combined Body Based on Particle Flow Code

et al. 2019

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In this manuscript, the numerical coal-rock combined bodies with different height ratios of rock part to coal-rock combined body (HRRC) were established by particle flow code (PFC) firstly, and then the influence of different HRRC on mechanical properties and numerical acoustic emission (AE) characteristics of coal-rock combined bodies were investigated. Finally, the damage constitutive model of the coal-rock combined body was discussed. The research results show that with the increase of the HRRC, the UCS and the elastic modulus (E) of the combined coal-rock bodies increased. The failure of coal-rock combined bodies is mainly focused on the coal body. The evolution law of AE hits of coal-rock combined bodies have three stages, named stable stage, rapid ascending stage, and rapid descending stage. The damage variable curves of coal-rock combined body have two stages, named slowly damage stage and sharply damage stage. The damage constitutive relation based on AE hits can well reflect the stress-strain relationships with a lower HRRC. However, for a higher HRRC, the damage constitutive equation is not accurately and the damage of the rock part in the coal-rock-combined body should be considered.

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Section: Damage Variable Based On Ae Hitsmentioning

confidence: 99%

Section: Damage Variable Based On Ae Hitsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of Acoustic Emission Characteristics and Damage Constitutive Model of Coal-Rock Combined Body Based on Particle Flow Code

et al. 2019

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“…The byproduct of such rich reserves is the high coal-seam methane (CMM), and the content of methane ranges from 8 m 3 /t to 20 m 3 /t in most of mine areas, [5][6][7][8] meaning that the coal mines are threatened by potential hazard of gas outburst and gas explosion. 9 As the CBM accumulation is positively correlated with coal reservoirs, it has distinct characteristic of regional enrichment. China has 3284 gassy and outburst-prone coal mines distributing in 26 coal rich provinces in 2012.…”

Section: Introductionmentioning

confidence: 99%

A new pattern of underground space‐time tridimensional gas drainage: A case study in Yuwu coal mine, China

Nie

et al. 2019

Energy Science & Engineering

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With the increase of mining depth, the high gassy coal mine confronts with a variety of gas problems, such as gas concentration exceeding the limit in the working face, gas outburst and gas explosion. According to the situation of gas drainage in Qinshui Basin (South of Shanxi Province, China) and enlightened by horizontal directional drillings (HDD) and multi‐branched horizontal wells, a new gas drainage pattern that inverted π‐shape km borehole layout was proposed. Verified in Yuwu Coal Mine, the gas drainage data were standardized via the unified theory of standardization. It could dropped the coal seam gas content to 7.71 m3/t, and increased the gas drainage rate to 34.2%, which conformed to the Chinese regulation (<8 m3/t, >30%, respectively). This pattern has a significant effect on coal mines with a single seam, where protective seam mining technology was unsuitable to prevent gas outburst and gas explosion.

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“…A large number of landslide, rockburst and sinkage caused by rock failure bring enormous damage to industry, agriculture, people, and properties worldwide (Guzzetti et al 2005;Geertsema et al 2009;Alrawabdeh et al 2017;Huang et al 2017aHuang et al , 2017bLi et al 2018;Tao et al 2018a;Wang and Meng 2018). Some landslides are catastrophic, and to date, tens of thousands of people have been injured or perished due to landslides and induced secondary disasters.…”

Section: Introductionmentioning

confidence: 99%

Design and operation of App-based intelligent landslide monitoring system: the case of Three Gorges Reservoir Region

Tao

Zhang

Zhu

et al. 2019

Geomatics, Natural Hazards and Risk

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Nowadays, mobile applications (Apps) have become a main form of mobile Internet services, and related applications in the geological disaster monitoring domain must follow this development trend. In this study, an innovative remote and intelligent landslide monitoring system was designed and developed, which can capture the in-depth sliding force state of the slope in real time. When it reaches the early warning threshold, the system immediately transmits the warning information to user terminals and warns users to initiate corresponding risk-avoidance plans. Next, using the developed system, an App of early warning information publishing program was developed to transmit the acquired sliding-force data by field monitoring devices to servers via Beidou Satellite or GPRS base station. The App can inquire background servers via WiFi or 4G for acquiring the monitoring data and curves of the side slope. Finally, the developed system was applied for the monitoring of the sliding mass in Zhoujiawan, Badong County, the Three Gorges Reservoir Region. The monitoring personnel could locate and inspect the failure characteristics of the deformation region in a timely manner using the developed App. The App data exhibited significant correlation and consistency with the monitored results, thus enhancing the inspection efficiency and allowing an effective emergency response.

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Statistical analysis of large accidents in China’s coal mines in 2016

Cited by 90 publications

References 1 publication

Analysis of Acoustic Emission Characteristics and Damage Constitutive Model of Coal-Rock Combined Body Based on Particle Flow Code

Analysis of Acoustic Emission Characteristics and Damage Constitutive Model of Coal-Rock Combined Body Based on Particle Flow Code

A new pattern of underground space‐time tridimensional gas drainage: A case study in Yuwu coal mine, China

Design and operation of App-based intelligent landslide monitoring system: the case of Three Gorges Reservoir Region

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