田朝阳, 兰恒星, 张宁, 等. 2022. 某交通线路色季拉山隧道高地应力岩爆风险定量预测研究[J]. 工程地质学报, 30(3): 621-634. doi: 10.13544/j.cnki.jeg.2022-0113.
    引用本文: 田朝阳, 兰恒星, 张宁, 等. 2022. 某交通线路色季拉山隧道高地应力岩爆风险定量预测研究[J]. 工程地质学报, 30(3): 621-634. doi: 10.13544/j.cnki.jeg.2022-0113.
    Tian Chaoyang, Lan Hengxing, Zhang Ning, et al. 2022. Quantitative prediction of rockburst risk in Sejila Tunel of one Railway[J]. Journal of Engineering Geology, 30(3): 621-634. doi: 10.13544/j.cnki.jeg.2022-0113.
    Citation: Tian Chaoyang, Lan Hengxing, Zhang Ning, et al. 2022. Quantitative prediction of rockburst risk in Sejila Tunel of one Railway[J]. Journal of Engineering Geology, 30(3): 621-634. doi: 10.13544/j.cnki.jeg.2022-0113.

    某交通线路色季拉山隧道高地应力岩爆风险定量预测研究

    QUANTITATIVE PREDICTION OF ROCKBURST RISK IN SEJILA TUNEL OF ONE RAILWAY

    • 摘要: 岩爆是在高地应力区域中进行地下隧道建设时所面对的主要风险之一,具有突发性、高危害性等特点。实现岩爆的破坏程度定量化预测,对高地应力区域地下工程的设计与施工具有重要的指导意义。本文通过收集大量国内外典型岩爆隧道的特征参数并进行统计分析,建立了一种能够预测最大爆坑深度的岩爆风险量化预测模型,同时结合室内力学试验、岩体强度损伤准则和地应力场多元线性回归反演等理论和方法,对新建某交通线路色季拉山隧道岩爆风险进行了定量化预测,并与国内巴玉隧道岩爆风险进行相似工程案例对比分析。得出以下结论:(1)本文根据岩爆隧道应力强度比与爆坑深度之间线性统计关系所建立的岩爆预测模型,可实现岩爆风险的量化预测及评估。(2)色季拉山隧道地应力场受构造作用控制明显,同时,全线地应力普遍较高,加之隧道沿线硬岩段落占比大且岩爆倾向性高,高地应力岩爆风险突出。(3)预测色季拉山隧道中等以上等级岩爆风险段落可达12 188 m,占隧道全长的32.1%,岩爆将主要发生在弱风化花岗岩、闪长岩以及埋深较大的片麻岩段落中。(4)色季拉山隧道预测最大爆坑深度为3.42 m,小于已贯通的巴玉隧道实测最大爆坑深度(3.5 m),在合理的防控措施下可认为色季拉山隧道的岩爆风险总体可控。

       

      Abstract: Rockburst is one of the main risks in the process of underground tunnel construction in high geostress area, which is characterized by sudden occurrence and high harmfulness. The quantitative prediction of rockburst damage degree is of great guiding significance to the design and construction of underground engineering in high in-situ stress area. By collecting a large number of characteristic parameters of typical rockburst tunnels at home and abroad and conducting statistical analysis, this paper establishes a quantitative rockburst risk prediction model that can predict the maximum depth of rockburst pit. At the same time, combined with the laboratory test, rock strength damage criterion and multiple linear regression inversion method for geostress field, the rockburst risk of Sejila Tunnel of one railway is quantitatively predicted, and the rockburst risk is compared and analyzed with similar engineering cases of Bayu tunnel in China. The conclusions are as follows: (1)The rockburst prediction model based on the linear statistical relationship between the depth of rockburst tunnel and the stress intensity ratio can realize the quantitative prediction and evaluation of rockburst risk. (2)The geostress field of Sejila Tunnel is obviously controlled by tectonic action, and the geostress along the whole line is generally high. In addition, the hard rock section along the tunnel accounts for a large proportion and the rockburst tendency is high, so the rockburst risk of high geostress is prominent. (3)It is predicted that the rock burst risk section of medium grade or above in Sejila Tunnel can reach 12 188 m, accounting for 32.1% of the total length of the tunnel. The rock burst will mainly occur in the section of weakly weathered granite, diorite and gneiss with large burial depth. (4)The predicted maximum pit depth of Sejila Tunnel is 3.42 m, which is less than the measured maximum pit depth(3.5 m) of the already connected Bayu tunnel. Under reasonable construction and prevention and control measures, the rock burst risk of Sejila Tunnel is generally controllable.

       

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