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

被引:221
作者
Xu, N. W. [1 ,2 ]
Tang, C. A. [1 ,2 ]
Li, L. C. [1 ]
Zhou, Z. [3 ]
Sha, C. [3 ]
Liang, Z. Z. [1 ]
Yang, J. Y. [4 ]
机构
[1] Dalian Univ Technol, Inst Rock Instabil & Seism Res, Fac Infrastruct Engn, Dalian 116024, Liaoning Prov, Peoples R China
[2] Dalian Univ Technol, State Key Lab Coastal & Offshore Engn, Dalian 116024, Liaoning Prov, Peoples R China
[3] HydroChina Chengdu Engn Corp, Chengdu 610072, Sichuan Prov, Peoples R China
[4] Dalian Mechsoft Co Ltd, Dalian 116024, Liaoning Prov, Peoples R China
基金
中国国家自然科学基金;
关键词
Microseismic monitoring; Stability analysis; High rock slope; Jinping first stage hydropower station; Prediction; ROCK FAILURE; NUMERICAL-SIMULATION; SOURCE LOCATION; SLIP SURFACE; PART I; SEISMICITY; ROCKBURST; SYSTEM; DAMAGE; MODEL;
D O I
10.1016/j.ijrmms.2011.06.009
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
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.
引用
收藏
页码:950 / 963
页数:14
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