唐春安

个人信息Personal Information

教授

博士生导师

硕士生导师

主要任职:President of international exchange committee of the Chinese Society of Rock Mechanics and Engineering CSRME

其他任职:国际岩石力学与岩石工程学会(ISRM)中国国家小组副主席

性别:男

毕业院校:东北大学

学位:博士

所在单位:土木工程系

办公地点:综合实验四号楼330

联系方式:tca@mail.neu.edu.cn

扫描关注

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

Microseismic monitoring and stability analysis of the left bank slope in Jinping first stage hydropower station in southwestern China

点击次数:

论文类型:期刊论文

发表时间:2011-09-01

发表刊物:INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

收录刊物:Scopus、SCIE、EI

卷号:48

期号:6

页面范围:950-963

ISSN号:1365-1609

关键字:Microseismic monitoring; Stability analysis; High rock slope; Jinping first stage hydropower station; Prediction

摘要:Risks associated with the left banks lope of Jinping first hydro power station in south western China are growing as a result of excavation of the dam foundation ditch and various tunnels, as well as grouting to soft strata. To improve our understanding of the slope instability and resolve the complex subsurface conditions of the highly fractured rock mass, a microseismic monitoring system was installed in June 2009, which is the first time such a technique has been introduced in to stability analysis of a high steep rock slope in China. The micro seismic monitoring system consists of a data acquisition unit, a data processing unit and a three-dimensional array of uniaxial accelerometers. In order to analyze the correlation between seismicity and potential slip surface of the slope, a numerical model was implemented to analyze the failure processes and stability of the slope. The monitoring results illustrate that microseismic events mainly occur as a strip along the spandrel groove of the dam, which coincides with the potential slipsurface obtained from numerical analysis, especially at the bottom of the slope. Therefore, the comprehensive method incorporating microseismic monitoring and numerical analysis has been proven to be very promising in instability prediction of rock slope subject to identification and delineation of potential slip surface and failure regions. (C) 2011 Elsevier Ltd. All rights reserved.