李静, 巩思园, 李慧, 孙尚鹏. 基于震动波CT探测技术的冲击危险预测[J]. 煤矿安全, 2016, 47(7): 69-72.
    引用本文: 李静, 巩思园, 李慧, 孙尚鹏. 基于震动波CT探测技术的冲击危险预测[J]. 煤矿安全, 2016, 47(7): 69-72.
    LI Jing, GONG Siyuan, LI Hui, SUN Shangpeng. Prediction of Rock Burst Hazard Based on Shock Wave CT Detection Technology[J]. Safety in Coal Mines, 2016, 47(7): 69-72.
    Citation: LI Jing, GONG Siyuan, LI Hui, SUN Shangpeng. Prediction of Rock Burst Hazard Based on Shock Wave CT Detection Technology[J]. Safety in Coal Mines, 2016, 47(7): 69-72.

    基于震动波CT探测技术的冲击危险预测

    Prediction of Rock Burst Hazard Based on Shock Wave CT Detection Technology

    • 摘要: 为探究三河尖煤矿冲击矿压显现机理和大范围探测工作面围岩应力状态,采用震动波CT探测技术进行了区域应力场反演,构建了冲击危险性技术指标,对冲击危险区域进行了预测。研究结果表明:震动波波速和应力场呈正相关关系,9煤层工作面临近7煤上山保护煤柱侧出现高波速和高波速梯度异常区,与“1.30”冲击显现区基本吻合;震动波CT技术能够实现大范围煤岩体应力探测,动态评价冲击危险区域,进而采取针对性卸压解危措施。

       

      Abstract: In order to study the rock burst occurring in Sanhejian Coal Mine and detect large-scale stress state of working face, the stress field inversion was carried out by shock wave CT exploration technology to establish technical indexes and predict rock burst hazard area. The results indicate that seismic wave velocity is positively related with stress, and the working face of No.9 coal seam near uphill coal pillar of No.7 coal seam is located in high wave velocity and high velocity gradient anomaly area, which basically tallies with " 1.30 " rock burst zone. Large-scale stress of coal and rock mass can be detected and rock burst hazard area can be distinguished by shock wave CT technique so as to take measures for pressure relief.

       

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