岩土力学 ›› 2019, Vol. 40 ›› Issue (8): 3125-3134.doi: 10.16285/j.rsm.2018.0748

• 岩土工程研究 • 上一篇    下一篇

基于修正[BQ]值的软岩隧道挤压变形预测

陈卫忠1, 2,田 云1, 3,王学海4,田洪铭1,曹怀轩5,谢华东5   

  1. 1. 中国科学院武汉岩土力学研究所 岩土力学与工程国家重点实验室,湖北 武汉 430071; 2. 山东大学 岩土与结构工程研究中心,山东 济南 250061;3. 中国科学院大学,北京 100049; 4. 中交一公局第五工程有限公司,北京 100024;5. 兖州煤业股份有限公司 东滩煤矿,山东 邹城 273500
  • 收稿日期:2018-05-02 出版日期:2019-08-12 发布日期:2019-08-25
  • 作者简介:陈卫忠,男,1968年生,博士,研究员,博士生导师,主要从事隧道及地下工程方面的教学及研究工作
  • 基金资助:
    国家自然科学基金(No. 51879258,No. 51879259);湖北省自然科学基金(No. 2018CFA012);中国科学院青年创新促进会资助项目。

Squeezing prediction of tunnel in soft rocks based on modified [BQ]

CHEN Wei-zhong1, 2, TIAN Yun1, 3, WANG Xue-hai4, TIAN Hong-ming1, CAO Huai-xuan5, XIE Hua-dong5   

  1. 1. State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, Hubei 430071, China; 2. Research Center of Geotechnical and Structural Engineering, Shandong University, Jinan, Shandong 250061, China; 3. University of Chinese Academy of Sciences, Beijing 100049 , China; 4. CCCC First Highway Fifth Engineering Co., Ltd., Beijing 100024, China; 5. Dongtan Coal Mine, Yanzhou Coal Mining Company Limited, Zoucheng, Shandong 273500, China
  • Received:2018-05-02 Online:2019-08-12 Published:2019-08-25
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (51879258, 51879259), the Hubei Provincial Natural Science Foundation (2018CFA012) and the Project Funded by Youth Innovation Promotion Association.

摘要: 高地应力条件下,深埋隧道破碎围岩容易发生挤压大变形。挤压变形量的预测对于工程的设计与施工至关重要。经验预测方法因其形式简单、使用方便得到广泛应用,现有隧道挤压变形预测的经验法具有以下特点:(1)考虑的影响因素较少,多数仅能对挤压变形进行分级,无法给出挤压变形量;(2)现有经验变形预测方法多基于围岩Q分级系统,不能直接应用于国内的BQ分级系统。因此,基于对国内外100多条隧道变形监测数据的分析,提出一种新的适用于国内岩体基本质量指标修正值[BQ]的挤压变形预测方法。该方法综合考虑了隧道埋深、跨度、围岩强度应力比、地下水、岩体结构面等影响岩体挤压变形的多种因素。通过与多条大变形隧道监测结果的对比分析,验证了预测方法的合理性,研究成果对高地应力软岩隧道确定支护强度及提前采取超前加固措施具有十分重要的指导作用。

关键词: 高地应力, 软岩隧道, 挤压大变形, 预测, 修正[BQ]

Abstract:

 Soft rocks around deep-buried tunnels under high geo-stress conditions are prone to emerging large deformation. Nowadays, the prediction of squeezing deformation is a significant problem during the design and construction of practical engineering. The existing empirical prediction methods of squeezing tunnels are widely used due to its simplicity and convenience, while they also have many limitations, e.g. most of they can only classify the squeezing degree but can’t predict the exact deformation with considering on a few influencing factors, they were developed based on foreign Q system and not applicable for the BQ system of China. Therefore, a new empirical method, that are available for BQ system, is proposed based on more than 100 deformation monitoring data of squeezing tunnels. The method could synthetically take many factors into account, such as tunnel depth, span, ratio of rock strength stress and initial stress, groundwater and structure surface of rock. The proposed method is verified through comparison and analysis of monitoring results of several tunnels with large deformation, and plays a very important guiding role in determining the strength of the support and applying advance reinforcement measures.

Key words: high geo-stress, soft rock tunnel, extruding large deformation, prediction, modified [BQ]

中图分类号: 

  • TU 454
[1] 秦爱芳, 胡宏亮. 碱性溶液饱和高庙子钙基膨润土膨胀特性及预测[J]. 岩土力学, 2020, 41(S1): 123-131.
[2] 郭健, 陈健, 胡杨. 基于小波智能模型的地铁车站基坑变形 时序预测分析[J]. 岩土力学, 2020, 41(S1): 299-304.
[3] 梁珂, 陈国兴, 杭天柱, 刘抗, 何杨, . 砂类土最大动剪切模量的新预测模型[J]. 岩土力学, 2020, 41(6): 1963-1970.
[4] 吴鑫林, 张晓平, 刘泉声, 李伟伟, 黄继敏. TBM岩体可掘性预测及其分级研究[J]. 岩土力学, 2020, 41(5): 1721-1729.
[5] 范日东, 杜延军, 刘松玉, 杨玉玲, . 无机盐溶液作用下砂−膨润土竖向隔离屏障 材料化学相容性试验研究[J]. 岩土力学, 2020, 41(3): 736-746.
[6] 雷升祥, 赵伟. 软岩隧道大变形环向让压支护机制研究[J]. 岩土力学, 2020, 41(3): 1039-1047.
[7] 王忠凯, 徐光黎. 盾构掘进、离开施工阶段对地表变形的 影响范围及量化预测[J]. 岩土力学, 2020, 41(1): 285-294.
[8] 程爱平, 张玉山, 戴顺意, 董福松, 曾文旭, 李丹峰, . 单轴压缩胶结充填体声发射参数 时空演化规律及破裂预测[J]. 岩土力学, 2019, 40(8): 2965-2974.
[9] 赵久彬, 刘元雪, 刘娜, 胡明, . 海量监测数据下分布式BP神经网络区域 滑坡空间预测方法[J]. 岩土力学, 2019, 40(7): 2866-2872.
[10] 王 岗, 潘一山, 肖晓春, . 单轴加载煤体破坏特征与电荷规律研究及应用[J]. 岩土力学, 2019, 40(5): 1823-1831.
[11] 张 勋, 黄茂松, 胡志平, . 砂土中单桩水平循环累积变形特性模型试验[J]. 岩土力学, 2019, 40(3): 933-941.
[12] 郑 栋, 黄劲松, 李典庆, . 基于多源信息融合的路堤沉降预测方法[J]. 岩土力学, 2019, 40(2): 709-719.
[13] 钟国强, 王 浩, 李 莉, 王成汤, 谢壁婷, . 基于SFLA-GRNN模型的基坑地表最大沉降预测[J]. 岩土力学, 2019, 40(2): 792-798.
[14] 钟祖良, 别聪颖, 范一飞, 刘新荣, 罗亦琦, 涂义亮, . 土石混合体注浆扩散机制及影响因素试验研究[J]. 岩土力学, 2019, 40(11): 4194-4202.
[15] 杨文保, 吴琪, 陈国兴, . 长江入海口原状土动剪切模量预测方法探究[J]. 岩土力学, 2019, 40(10): 3889-3896.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!