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  • 教师姓名:李宏
  • 性别:
  • 主要任职:Professor/Ph. D & Master Supervisor
  • 电子邮箱:Hong.Li@dlut.edu.cn
  • 职称:教授
  • 所在单位:土木工程系
  • 学位:博士
  • 学科:岩土工程
  • 毕业院校:东北大学
  • 办公地点:辽宁省大连市甘井子区凌工路2号 大连理工大学 建设工程学部 土木工程学院 岩石破裂与失稳研究所 三号综合实验楼 417-1房间
  • 联系方式:手机: 138-89472105 E-mail: hong.li@dlut.edu.cn; 13889472105@163.com
论文成果
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Excavation-induced microseismicity: microseismic monitoring and numerical simulation
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  • 论文类型:期刊论文
  • 发表时间:2012-06-01
  • 发表刊物:JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A
  • 收录刊物:SCIE、EI、ISTIC、CSCD
  • 卷号:13
  • 期号:6
  • 页面范围:445-460
  • ISSN号:1673-565X
  • 关键字:Microseismic monitoring; Rock slope; Numerical simulation; Stability analysis; Dagangshan Hydropower Station
  • 摘要:The volume of influence of excavation at the right bank slope of Dagangshan Hydropower Station, southwest China, is essentially determined from microseismic monitoring, numerical modeling and conventional measurements as well as in situ observations. Microseismic monitoring is a new application technique for investigating microcrackings in rock slopes. A microseismic monitoring network has been systematically used to monitor rock masses unloading relaxation due to continuous excavation of rock slope and stress redistribution caused by dam impoundment later on, and to identify and delineate the potential slippage regions since May, 2010. An important database of seismic source locations is available. The analysis of microseismic events showed a particular tempo-spatial distribution. Seismic events predominantly occurred around the upstream slope of 1180 m elevation, especially focusing on the hanging wall of fault XL316-1. Such phenomenon was interpreted by numerical modeling using RFPA-SRM code (realistic failure process analysis-strength reduction method). By comparing microseismic activity and results of numerical simulation with in site observation and conventional measurements results, a strong correlation can be obtained between seismic source locations and excavation-induced stress distribution in the working areas. The volume of influence of the rock slope is thus determined. Engineering practices show microseismic monitoring can accurately diagnose magnitude, intensity and associated tempo-spatial characteristics of tectonic activities such as faults and unloading zones. The integrated technique combining seismic monitoring with numerical modeling, as well as in site observation and conventional surveying, leads to a better understanding of the internal effect and relationship between microseismic activity and stress field in the right bank slope from different perspectives.
  • 发表时间:2012-06-01