| 某水电站地下厂房岩体质量分级研究 |
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| 引用本文： | 葛华,吉峰,李攀峰. 某水电站地下厂房岩体质量分级研究[J]. 地质找矿论丛, 2007, 22(2): 157-160 |
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| 作者姓名： | 葛华 吉峰 李攀峰 |
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| 作者单位： | 四川大学水利水电学院,成都,610065;成都理工大学环境与土木工程学院,成都,610059;中国水电顾问集团成都勘测设计研究院,成都,610072 |
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| 基金项目： | 国家重点基础研究发展计划(973计划) |
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| 摘 要： | 根据某水电站地下厂房各勘探平硐现场统计的基础数据,采用RMR分类、Q系统法、水电系统分类法(HC法)、BQ法对地下厂区围岩岩体质量进行了分析评价,然后综合4种方法的评价结果,得到了各硐段的综合岩体质量类别,使这4种分类法相互补充、相互验证,达到综合确定围岩类别的目的,以此作为围岩稳定性分类的基础.此外,还对不同方法所得的评价结果进行了相关性分析.
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| 关 键 词： | 地下厂房 岩体质量分级 相关性分析 |
| 文章编号： | 1001-1412（2007）02-0157-04 |
| 收稿时间： | 2006-04-13 |
| 修稿时间： | 2006-04-132007-05-25 |
STUDY ON QUALITY CLASSIFICATION OF ROCK MASS SURROUNDING THE UNDERGROUND POWERHOUSE OF A HYDROELECTRIC STATION |
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| GE Hu,JI Feng and LI Panfeng. STUDY ON QUALITY CLASSIFICATION OF ROCK MASS SURROUNDING THE UNDERGROUND POWERHOUSE OF A HYDROELECTRIC STATION[J]. Contributions to Geology and Mineral Resources Research, 2007, 22(2): 157-160 |
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| Authors: | GE Hu JI Feng LI Panfeng |
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| Affiliation: | College of Water Resources and Hydropower, Sichuan University, Chengdu 610065, China;College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, China;Chengdu Hydroelectric Investigation & Design Institute of China Hydropower Consulting Group, Chengdu 610072, China |
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| Abstract: | The quality classification of rock mass surrounding underground powerhouse were analyzed according the basic geological reconnaissance datum of exploration tunnel of a hydroelectric station with RMR classification,Q system,criterion of geological reconnaissance of water resources and hydroelectric project shorted HC and national criterion of engineering rock mass classification shorted BQ system.Synthesizing the analysis results of the four method the integrated rock mass quality was obtained.The four methods are reciprocal and can be checked with each other.The synthetic classification can be used as the basis to determine the rank of surrounding rock.Furthermore,this paper gaves a correlation analysis to the analysis results of each of the four method. |
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| Keywords: | underground powerhouse rock mass quality classification correlation analysis |
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