中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (3): 89-94.doi: 10.16265/j.cnki.issn1003-3033.2017.03.016

• 安全工程技术科学 • 上一篇    下一篇

地下工程岩体岩爆倾向性微观机制研究

李墨潇1,2,3 助理研究员, 宋英华1,2,3 教授, 吕伟1,2,3 讲师, 王喆1,2,3 讲师, 方丹辉1,2,3 副教授   

  1. 1 武汉理工大学 中国应急管理研究中心,湖北 武汉 430070
    2 安全预警与应急联动技术湖北省协同创新中心,湖北 武汉 430070
    3 武汉理工大学 管理学院,湖北 武汉 430070
  • 收稿日期:2016-12-19 修回日期:2017-02-19 出版日期:2017-03-28 发布日期:2020-11-22
  • 作者简介:李墨潇 (1987—),男,安徽安庆人,博士,助理研究员,主要从地下空间安全工程的研究。E-mail:lmx@whut.edu.cn。
  • 基金资助:
    国家重点研发计划项目(2016YFC0802509);湖北省自然科学基金资助(2016CFB467);科技部科技创新战略研究专项(ZLY2015078);高校博士点科研专项基金资助(20120143110005)。

Study on micro-mechanism of rockburst tendency of rock mass in underground engineering

LI Moxiao1,2,3, SONG Yinghua1,2,3, LYU Wei1,2,3, WANG Zhe1,2,3, FANG Danhui1,2,3   

  1. 1 China Research Center for Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China
    2 Hubei Collaborative Innovation Center for Early Warning and Emergency Response Technology, Wuhan University of Technology, Wuhan Hubei 430070, China
    3 School of Management, Wuhan University of Technology, Wuhan Hubei 430070, China
  • Received:2016-12-19 Revised:2017-02-19 Online:2017-03-28 Published:2020-11-22

摘要: 为提高地下岩爆灾害预测的准确性,考虑岩石的岩性,选取大理岩、花岗岩、角岩和矽卡岩进行力学和微观试验,研究具有岩爆倾向性岩石的微观机制,建立基于莫氏硬度的岩爆倾向性串并联模型。计算4种岩石的加权模式硬度。结果显示,串联加权莫氏硬度大于6.0、并联加权莫氏硬度大于0.5的岩石表现出强烈的岩爆倾向性,串联加权莫氏硬度小于4.0、并联加权莫氏硬度小于0.3的岩石表现出较弱的岩爆倾向性。试验结果表明,岩石的岩爆倾向性主要与岩石的微观结构、矿物组成和解理条件等有关,含坚硬、储能能力强的矿物的岩石有强烈岩爆倾向性。

关键词: 地下工程, 岩爆灾害, 岩爆倾向性, 微观机制, 莫氏硬度

Abstract: At present, there are more and more underground engineering projects facing more serious threat of rockburst. This thesis focuses on the study of micro-mechanism of rockburst based on the rock lithology. Four kinds of rock were chosen to and the data on the rockburs proneness mechanical tests and micro-structure tests. Based on both the data on the mineral composition and the data on the rockburs proneness of the samples, a quantitative criterion was established for the rockburst proneness .Two models were built respectively for series connection and parallel connection Mohs hardness-weighted to calculate the rockburst proneness. When the series connection Mohs hardness-weighted is bigger than 6.0 or the parallel connection Mohs hardness-weighted is bigger than 0.5, the rock shows strong rockburst proneness. When the series connection Mohs hardness-weighted is smaller than 4.0 or the parallel connection Mohs hardness-weighted of is smaller than 0.3, the rock shows weak rockburst proneness. The results show that the rock with hard and strong energy storage ability mineral shows strong rockburst proneness.

Key words: underground engineering, rockburst, rockburst tendency, micro-mechanism, Mohs hardness

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