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回采速度对采场能量释放的影响规律研究

Study on influence law of mining speed on stope energy releasing

  • 摘要: 开采活动是造成煤矿强矿震甚至冲击地压的根本原因。针对回采速度对采场围岩弹性能释放的影响机制,通过理论分析、数值模拟、现场实测的方法,阐述了回采速度对采场支承压力-顶板破断释放能量的影响,实现了开采过程中采场围岩矿震能量的时空演化特征模拟,统计了回采速度对矿震能量、频次分布的影响结果。研究结果表明:回采速度越快,单位时间内模型释放的总能量和最大能量越大;模型释放的总弹性能峰值随开挖次数的增多而增大;证明了围岩的能量积聚程度会随回采速度和开挖次数的增大而增强;且回采速度越快,采场围岩大能量矿震所占的比例就越高。通过实际采场围岩矿震能量的统计分析验证,根据日平均总能量和大能量矿震日平均频次随回采速度的变化梯度,确定402103工作面中等及以上冲击危险及区域的合理回采速度区间为3.2~4.8 m/d,并将统计分析结果应用于邻近工作面的开采强度优化,取得良好效果。

     

    Abstract: Mining activities are the fundamental causes of strong mine earthquakes and even rockbursts in coal mines. Aiming at the impact mechanism of the mining speed on the release of elastic energy of surrounding rock, through theoretical analysis, numerical simulation, and on-site measurement methods, the influence of mining speed on the release of supporting pressure roof energy in the mining area was theoretically generalized and expounded. The temporal and spatial evolution characteristics of earthquake energy in the mine are simulated, and the effect of mining speed on the energy and frequency distribution of mine earthquakes was calculated. The results show that the faster the mining speed, the greater the total energy and the maximum energy released by the model per unit time; the peak value of the total elastic energy released by the model increases with the number of excavations; it is proved that the energy accumulation degree of the surrounding rock will increase with mining speed and the increase of the number of excavations, and the faster the stoping speed, the higher the proportion of large-energy mine earthquakes in the surrounding rock of the stope. Through the statistical analysis and verification of the seismic energy of surrounding rocks and mines in the actual stope, and according to the change gradient of daily average total energy and daily average frequency of large energy mine earthquake with mining speed, it is determined that the reasonable mining speed range of No.402103 working face is 3.2~4.8 m/d, and the statistical analysis results are applied to the mining intensity optimization of the adjacent working faces, and good results are obtained.

     

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