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Identification of potential high-stress hazards in deep-buried hard rock tunnel based on microseismic information: a case study

机译:基于微震信息的深埋硬岩隧道潜在高应力危害的识别 - 以案例研究

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摘要

Rockbursts, stress-induced collapse, and spalling often occur in the excavation process of deep-buried hard rock tunnel, which affect the stability thereof. The early identification of these potential high-stress hazards during tunnel excavation can provide reliable basis for the selection of preservative and controlled measures. During the excavation of a deep-buried hard rock tunnel in southwest China (a railway tunnel with a maximum burial depth over 2000 m), rockbursts, stress-induced collapse, spalling, and cracking occurred frequently. In this study, the microseismicity of various high-stress hazards in the genesis process of the tunnel was analysed. The difference of microseismicity characteristics of these high-stress hazards was revealed. A matter-element extension mathematical model was established to quantify the microseismicity of the rock mass during tunnel excavation. Based on microseismic (MS) information, an identification method of potential high-stress hazards in deep-buried hard rock tunnels was established. The method was then applied to a real case, and reliability analysis thereof performed. Thirty test case samples were selected for reliability analysis and case verification. Through practical application, it is found that 90% samples were identified correctly. The results show that the identification method of potential high-stress hazards in the deep hard rock tunnel constructed in this study is both applicable and reliable, and can identify potential high-stress hazard types in the process of tunnel excavation by using MS information.
机译:摇滚乐爆发,应力引起的崩溃和剥落经常发生在深埋硬岩隧道的挖掘过程中,这影响其稳定性。在隧道挖掘过程中早期识别这些潜在的高应力危险可以为选择防腐剂和受控措施提供可靠的基础。在中国西南地区深埋硬岩隧道的挖掘过程中(铁路隧道超过2000米的最大埋藏深度),摇滚乐强调崩溃,剥落和裂缝经常发生。在这项研究中,分析了隧道的成因过程中各种高应力危害的微震性。揭示了这些高应力危害的微震性特征的差异。建立了一种物质 - 元素扩展数学模型,以量化隧道开挖期间岩体的微震性。基于微震(MS)信息,建立了深埋硬岩隧道中潜在的高应力危害的识别方法。然后将该方法应用于实际情况,并且其可靠性分析进行。选择三十个测试案例样本进行可靠性分析和案例验证。通过实际应用,发现正确鉴定了90%的样品。结果表明,该研究中构建的深硬岩隧道潜在高应力危害的识别方法既适用可靠,也可以通过使用MS信息识别隧道挖掘过程中的潜在的高应力危险类型。

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