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首页> 外文期刊>Advances in civil engineering >Artificial Seismic Source Field Research on the Impact of the Number and Layout of Stations on the Microseismic Location Error of Mines
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Artificial Seismic Source Field Research on the Impact of the Number and Layout of Stations on the Microseismic Location Error of Mines

机译:台站数量和布局对矿井微震定位误差影响的人工震源研究

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摘要

A site experiment is performed herein within a 100m range using a high-frequency structure activity monitor to explore the impact of different factors on the microseismic source location and analyze the range of influence of the velocity model, number of stations, and array surface on the seismic source location. Moreover, the impact of wave velocity, velocity-free location algorithm, and position of the seismic source on the microseismic location error of mines is discussed by establishing the ideal theoretical model of the wave velocity location and with particle swarm optimization. The impact of the number of stations and tables on the location precision is also explored by using the microseismic signals produced by the artificial seismic source. The results show that, for the location model containing the velocity, the velocity error would greatly affect the location precision, and the velocity-free algorithm receives good location results. The location result is more satisfactory when the seismic source point falls in between array envelope lines. The seismic source location precision is in direct proportion to the number of stations. According to the experiment, within a 100m range, when the number of stations is over 12, the effect does not significantly grow with the increase of stations; the number of tables affects the location precision; and the multitable location effect is significantly superior to the single-table effect. The research shows that the optimal station density is 0.0192%, and the appropriate sensor layout to form a multitable monitoring network may effectively enhance the microseismic source precision of mines through the selection of a velocity-free location model. On the contrary, the number of stations can be reduced on the premise of the allowable error of the seismic source location, which may effectively reduce the monitoring cost.
机译:本文使用高频结构活动监测器在100m范围内进行了现场试验,以探索不同因素对微震源位置的影响,并分析速度模型,台数和阵列表面对微震源位置的影响范围。地震源位置。此外,通过建立理想的波速定位理论模型并利用粒子群算法,讨论了波速,无速度定位算法和震源位置对矿井微震定位误差的影响。通过使用人工地震源产生的微地震信号,还探讨了站台数量对定位精度的影响。结果表明,对于包含速度的定位模型,速度误差将极大地影响定位精度,无速度算法得到了良好的定位结果。当地震震源点落在阵列包络线之间时,定位结果更加令人满意。震源定位精度与测站数量成正比。根据实验,在100m范围内,当站点数量超过12个时,其效果不会随着站点数量的增加而显着增加。表的数量影响位置精度;多表定位效果明显优于单表效果。研究表明,最佳台站密度为0.0192%,通过选择无速度位置模型,适当的传感器布局以形成多表监测网络可以有效提高矿井的微震源精度。相反,可以在地震源位置的允许误差的前提下减少站数,可以有效地降低监测成本。

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  • 来源
    《Advances in civil engineering》 |2019年第1期|1487486.1-1487486.11|共11页
  • 作者单位

    Liaoning Tech Univ, Sch Civil Engn, Fuxing 123000, Peoples R China|China Earthquake Adm, Inst Geol, Beijing 100000, Peoples R China;

    Liaoning Tech Univ, Sch Civil Engn, Fuxing 123000, Peoples R China;

    Liaoning Univ, Shenyang 110036, Liaoning, Peoples R China;

    Liaoning Tech Univ, Sch Civil Engn, Fuxing 123000, Peoples R China;

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