Selection and characterization of microseismic information about rock mass failure for rockburst warning in a deep tunnel
文献类型：期刊论文
| 作者 | Niu, Wenjing2; Feng, Xia-Ting2 ; Feng, Guangliang1; Xiao, Yaxun1; Yao, Zhibin2; Zhang, Wei2; Hu, Lei2
|
| 刊名 | ENGINEERING FAILURE ANALYSIS
 |
| 出版日期 | 2022 |
| 卷号 | 131页码:18 |
| 关键词 | Deep tunnel Rockburst warning Microseismic monitoring Microseismic information selection Microseismicity distribution characterization Rock mass failure |
| ISSN号 | 1350-6307 |
| DOI | 10.1016/j.engfailanal.2021.105910 |
| 英文摘要 | A rockburst is a complex dynamic engineering failure hazard encountered in deep tunnels, which leads to serious casualties, mechanical damage, project delays, and economic loss. To conduct microseismic (MS) warning and safety control of rockburst hazard can reduce the degree of damage and incidence of rockburst failure. Through analysis of the failure behavior and microseismicity of rockbursts of different intensities, the interference factors and causes for rockburst warning were clarified. By introducing the MS energy gradation curve to analyze the completeness of the MS catalogue, a selection method of MS information for rockburst warning was established. Geomechanical conditions, such as the crack initiation level and degree of damage of a rock mass with different intensities of rockbursts, were characterized by using the distribution of MS events based on a MS energy gradation curve. The logarithm of MS energy threshold value is 0.30 for screening MS events for rockburst warning in this tunnel was set. By comparing the difference of the slope of its straight-line segment, its d90 value, and other parameters of MS energy gradation curve in the area at risk to the characteristic parameters used for rockburst warning of various intensities, whether the crack initiation level and degree of damage have reached the condition of occurrence of rockburst can be judged, which can provide some assistance and reference for rockburst warning. Relevant results have been applied in the follow-up rockburst warning work in a tunnel, showing a good effect. More than 85% of rockburst hazards can be effectively identified and warnings were issued. The method proposed here can provide support for warning of rockburst accuracy in the excavation of deep-buried hard rock tunnels. |
| 资助项目 | National Natural Science Foundation of China[51839003] ; Science and Technology Development Project of China Railway[2017G006-B] ; LiaoNing Revitalization Talents Program[XLYC1801002] |
| WOS研究方向 | Engineering ; Materials Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000753085500001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/34449]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Feng, Xia-Ting |
| 作者单位 | 1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 2.Northeastern Univ, Key Lab Minist Educ Safe Min Deep Met Mines, Shenyang 110819, Peoples R China |
| 推荐引用方式 GB/T 7714 | Niu, Wenjing,Feng, Xia-Ting,Feng, Guangliang,et al. Selection and characterization of microseismic information about rock mass failure for rockburst warning in a deep tunnel[J]. ENGINEERING FAILURE ANALYSIS,2022,131:18. |
| APA | Niu, Wenjing.,Feng, Xia-Ting.,Feng, Guangliang.,Xiao, Yaxun.,Yao, Zhibin.,...&Hu, Lei.(2022).Selection and characterization of microseismic information about rock mass failure for rockburst warning in a deep tunnel.ENGINEERING FAILURE ANALYSIS,131,18. |
| MLA | Niu, Wenjing,et al."Selection and characterization of microseismic information about rock mass failure for rockburst warning in a deep tunnel".ENGINEERING FAILURE ANALYSIS 131(2022):18. |
入库方式： OAI收割
来源：武汉岩土力学研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。