动态应力表征和不稳定性风险识别使用多源声信号在切割和填充停止
Longjun Dong1, Yihan Zhang1, Zhongjie Chen1,2
1The School of Resources and Safety Engineering, Central South University, Changsha, 410083, China.
Scientific reports
|July 17, 2024
概括
监测采矿引起的压力变化是安全的关键. 这项研究使用波速和b值模式来检测微地震事件并预测复杂压力环境中的潜在地质技术灾害.
科学领域:
- 地质技术工程 地质技术工程
- 矿业地震学 矿业地震学
- 岩石机械学 岩石机械学
背景情况:
- 岩石质量和应力变化的定量表征对于结构稳定性监测和采矿操作中的灾难预警至关重要.
- 无支柱的大面积连续开采为了解岩石质量行为和应力演变带来了独特的挑战.
- 微观地震监测对于评估岩石质量对采矿活动的动态反应至关重要.
研究的目的:
- 调查微地震源在无支柱大面积连续提取过程中的时空分布.
- 开发和应用一种结合速度场和空间b值模式的方法,用于识别面板停止的应力和结构变化.
- 通过分析异常波速和b值来增强不稳定性灾害的识别.
主要方法:
- 微地震源的时空强度分布的分析.
- 速度场和空间b值的协作进化模式分析.
- 在关键地质结构和采矿界面的波速和b值中识别异常区域.
主要成果:
- 波速和b值的异常区域在采矿道路和脚墙矿石接触的十字路口被确定,与微地震事件核相对应.
- 速度场和空间b值的协同使用有效地揭示了采矿引起的应力迁移和停止结构变化.
- 通过增加波速和异常的b值变化,成功识别了连接道路和横流交叉路口的不稳定性灾难.
结论:
- 波速场和空间b值的综合分析提供了一种可靠的方法来描述采矿环境中的压力和结构变化.
- 这种方法为预测在复杂压力条件下地质工程灾害提供了宝贵的见解.
- 这些发现支持了这种方法在地下采矿中实时识别风险和监测结构稳定性的潜力.
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