Discussion on rockburst predictive method applying to TBM tunnel construction

CHEN Wei-zhong; MA Chi-shuai; TIAN Hong-ming; YANG Jian-ping

doi:10.16285/j.rsm.2017.S2.034

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Discussion on rockburst predictive method applying to TBM tunnel construction

更新时间：2026-06-25

- Discussion on rockburst predictive method applying to TBM tunnel construction
- Vol. 38, Issue S2, Pages: 241-249(2017)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：10.16285/j.rsm.2017.S2.034
  CLC： U452
- Online First：05 June 2018，
  
  Published：2017
- 稿件说明：
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CHEN Wei-zhong, MA Chi-shuai, TIAN Hong-ming, et al. Discussion on rockburst predictive method applying to TBM tunnel construction[J]. 2017, 38(S2): 241-249.
DOI：

CHEN Wei-zhong, MA Chi-shuai, TIAN Hong-ming, et al. Discussion on rockburst predictive method applying to TBM tunnel construction[J]. 2017, 38(S2): 241-249. DOI： 10.16285/j.rsm.2017.S2.034.

摘要

针对隧道掘进机(tunnel borring machine

TBM)施工阶段岩爆倾向性指标存在的不足，综合考虑围岩应力状态、岩体完整性、岩石强度、施工扰动等岩爆关键影响因素，提出了一种适用于隧道施工阶段的新型岩爆及时预测方法。首先，细致地分析了岩石强度、脆性系数、地质强度指标GSI、开挖扰动系数D和最大地应力等施工阶段参数特点，引入Hoek-Brown 强度准则估算工程岩体强度，基于工程岩体强度应力比思想，提出新型岩爆预测指标表达式，并给出岩爆的分级界限值。工程实例进一步验证新方法的合理性。文中方法为施工期岩爆预测问题的研究提供了一种新的和切实可行的思路。

Abstract

Aiming at the disadvantages of rockburst proneness criterion in application of tunnel boring machine(TBM) tunnel construction stage

a novel rockburst predictive method applying to tunnel construction stage is proposed

considering the key influence factors of rockburst such as the in-situ stress

the rockmass integrality

the rock strength and construction disturbance during tunnel construction. Firstly

the uniaxial rockmass strength based on Hoek-Brown strength criterion is estimated

by introducing five parametric attributes of rock strength

brittleness coefficient

the quantitative geological strength index (GSI)

the excavation disturbance factor D and the maximum in-situ stress .Then

a novel rockburst predictive index is put forward by the strength-stress ratio method of engineering rockmass; and the corresponding threshold values of the new index are presented. Case studies for application further verified the feasibility and reliability of the novel index

so as to provide a practical method for the study of rockburst prediction.

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Related Institution

Geotechnical and Structural Engineering Research Center, Shandong University

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Research Center of Tunneling and Underground Works, Beijing Jiaotong University

School of Civil and Architecture Engineering, Guangxi University

Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, Guangxi University

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