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基于微震监测技术的深埋长大隧洞群岩爆时空分布规律分析

揭秉辉 赵周能 陈炳瑞 肖亚勋 丰光亮

长江科学院院报2012,Vol.29Issue(9):69-73,5.
长江科学院院报2012,Vol.29Issue(9):69-73,5.DOI:10.3969/j.issn.1001-5485.2012.09.016

基于微震监测技术的深埋长大隧洞群岩爆时空分布规律分析

Regularity of Spatio-Temporal Distribution of Rockburst in Deep-Buried Long Tunnels Based on Microseismic Monitoring Signals

揭秉辉 1赵周能 2陈炳瑞 3肖亚勋 4丰光亮3

作者信息

  • 1. 二滩水电开发有限责任公司,成都610051
  • 2. 东北大学资源与土木工程学院,沈阳110819
  • 3. 中国科学院武汉岩土力学研究所,武汉430071
  • 4. 中国科学院岩土力学与工程国家重点实验室,武汉430071
  • 折叠

摘要

Abstract

The microseismic monitoring system used in the deep-buried diversion and drainage tunnels of Jinping-Ⅱ hydropower station is introduced. An optimized layout of sensors working together with each other and keeping up with the movement of working face is proposed in line with the characteristic of tunnel excavation. The spatio-temporal evolution relation between microseismic event and rockburst is discussed. Results show that the active and quiet periods of microseismic activity coincide respectively with the frequent and rare rockburst-occurring periods, and the space distribution feature of microseismic events is similar to that of rockburst. The spatio-temporal evolution of microseismic events correlates well with the distribution features of rockburst. Therefore, it is possible and feasible to forecast rockburst disaster by the analysis and research on spatio-temporal evolution of microseismic e-vents, which can provide scientific basis for rockburst prevention.

关键词

岩石力学/微震监测/岩爆/时空分布/深埋隧洞

Key words

rock mechanics/ microseismic monitoring/ rockburst/ spatio-temporal distribution/deep-buried tunnel

分类

建筑与水利

引用本文复制引用

揭秉辉,赵周能,陈炳瑞,肖亚勋,丰光亮..基于微震监测技术的深埋长大隧洞群岩爆时空分布规律分析[J].长江科学院院报,2012,29(9):69-73,5.

基金项目

国家自然科学基金资助项目(50909092) (50909092)

湖北省自然科学基金(2009CDB120) (2009CDB120)

长江科学院院报

OA北大核心CSCDCSTPCD

1001-5485

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