Scholarlink

<p>To effectively conduct pre-monitoring analysis and early-warning research on rock mass failure in an undersea gold mine, a micro-seismic (MS) monitoring system was established using rhomboid three-dimensional cross-arranged MS sensors. The collected monitoring data were analyzed in combination with focal parameters. Results indicate that rock mass fracture expansion progresses through five distinct stages: fracture closure, fracture initiation, fracture expansion, critical instability, and restoring balance. During the critical instability stage, cumulative apparent volume and energy increase sharply and reach a peak, indicating a high likelihood of large-scale failure. A strong linear relationship is observed between the logarithmic volume variation and logarithmic energy. MS events located at the lower-right of the fitting line reflect poor rock mass stability, whereas those at the upper-left indicate good stability. A new source parameter, the potential energy ratio, is introduced, and a fuzzy early-warning time equation is proposed to enable effective localization and prediction of rock mass failure. Field observations confirm the accuracy and effectiveness of the approach. These results provide a valuable reference for predicting instability characteristics and quantitatively characterizing failure locations in metal mines.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Research on Pre-Monitory and Early Warning Methods of Rock Mass Failure in Undersea Gold Mine Based on Micro-Seismic Monitoring

  • 期刊论文

  • 发表日期：

    2025年11月13日

查看全文
  • Chao Zhang,
  • Xueting Guo,
  • Jinping Guo,
  • Mingchao Kang,
  • Wenhao Xia

摘要

To effectively conduct pre-monitoring analysis and early-warning research on rock mass failure in an undersea gold mine, a micro-seismic (MS) monitoring system was established using rhomboid three-dimensional cross-arranged MS sensors. The collected monitoring data were analyzed in combination with focal parameters. Results indicate that rock mass fracture expansion progresses through five distinct stages: fracture closure, fracture initiation, fracture expansion, critical instability, and restoring balance. During the critical instability stage, cumulative apparent volume and energy increase sharply and reach a peak, indicating a high likelihood of large-scale failure. A strong linear relationship is observed between the logarithmic volume variation and logarithmic energy. MS events located at the lower-right of the fitting line reflect poor rock mass stability, whereas those at the upper-left indicate good stability. A new source parameter, the potential energy ratio, is introduced, and a fuzzy early-warning time equation is proposed to enable effective localization and prediction of rock mass failure. Field observations confirm the accuracy and effectiveness of the approach. These results provide a valuable reference for predicting instability characteristics and quantitatively characterizing failure locations in metal mines.