朱辉云, 杨晓芳, 郭亚永, 马秉务, 侯东利. 2019: 山岭隧道施工期围岩快速分级方法研究. 工程地质学报, 27(s1): 319-326. DOI: 10.13544/j.cnki.jeg.2019101
    引用本文: 朱辉云, 杨晓芳, 郭亚永, 马秉务, 侯东利. 2019: 山岭隧道施工期围岩快速分级方法研究. 工程地质学报, 27(s1): 319-326. DOI: 10.13544/j.cnki.jeg.2019101
    ZHU Huiyun, YANG Xiaofang, GUO Yayong, MA Bingwu, HOU Dongli. 2019: STUDY ON THE METHOD OF SURROUNDING ROCK RAPID CLASSIFICATION DURING CONSTRUCTION PERIOD OF MOUNTAIN TUNNEL. JOURNAL OF ENGINEERING GEOLOGY, 27(s1): 319-326. DOI: 10.13544/j.cnki.jeg.2019101
    Citation: ZHU Huiyun, YANG Xiaofang, GUO Yayong, MA Bingwu, HOU Dongli. 2019: STUDY ON THE METHOD OF SURROUNDING ROCK RAPID CLASSIFICATION DURING CONSTRUCTION PERIOD OF MOUNTAIN TUNNEL. JOURNAL OF ENGINEERING GEOLOGY, 27(s1): 319-326. DOI: 10.13544/j.cnki.jeg.2019101

    山岭隧道施工期围岩快速分级方法研究

    STUDY ON THE METHOD OF SURROUNDING ROCK RAPID CLASSIFICATION DURING CONSTRUCTION PERIOD OF MOUNTAIN TUNNEL

    • 摘要: 施工期的围岩快速分级是山岭隧道"动态设计、动态施工"的重要工作。笔者依托于北京某高速公路隧道施工的长期地质配合,选择岩石强度、节理裂隙条数、结构面状态、优势结构面产状与隧道洞轴关系、地下水作为围岩质量分级指标,进行了各分级指标快速获取方法的研究,进而建立了5项分级指标定性+定量相结合的表格评分法。TRT超前地质预报系统能较好反映掌子面前方的地质情况,笔者系统总结了TRT预报系统中的集群异常、单体异常、错断异常、互层异常。在此基础上,笔者提出了表格评分法与TRT超前地质预报紧密结合的施工期围岩动态快速分级方法,根据已开挖掌子面"看得见"的地质信息去预测掌子面前方"看不见"的地质信息,该方法可操作性强,与实际地质情况吻合率较高,用于指导隧道施工,具有重要意义。

       

      Abstract: The rapid classification of surrounding rock during construction period is an important task of "dynamic design and dynamic construction" of mountain tunnels. Based on the long-term geological cooperation of a highway tunnel construction in Beijing, we have selected the rock strength, the number of joints, the structural plane state, the relationship between the dominant structural plane and the tunnel axis, and the groundwater as the surrounding rock quality grading index, and studied the rapid acquisition methods of each grading index, and then established a table scoring method that combines qualitative and quantitative grading indicators. The TRT advanced geological prediction system can better reflect the geological conditions in front of the tunnel face. And we have systematically summarized cluster anomalies, single anomalies, fault anomalies, and interbed anomalies in the TRT forecasting system. The authors proposed a dynamic fast grading method for surrounding rock during construction period, which is combining table scoring method with TRT advanced geological prediction. This method can predict the "invisible" geological information in front of the tunnel face based on the "visible" geological information of the excavated tunnel face. And this method has strong operability and high coincidence rate with actual geological conditions and has important guiding significance for tunnel construction.

       

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