CORRELATION OF ROCK MASS CLASSIFICATIONS SURROUNDING LARGE UNDERGROUND CAVERN AND APPLICATION

CHU Handong; XU Guangli; LI Pengpeng; ZHU Kejun; WU Guanzhou

Volume 21 Issue 5

Oct. 2013

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CHU Handong, XU Guangli, LI Pengpeng, ZHU Kejun, WU Guanzhou. 2013: CORRELATION OF ROCK MASS CLASSIFICATIONS SURROUNDING LARGE UNDERGROUND CAVERN AND APPLICATION. JOURNAL OF ENGINEERING GEOLOGY, 21(5): 688-695.

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CHU Handong, XU Guangli, LI Pengpeng, ZHU Kejun, WU Guanzhou. 2013: CORRELATION OF ROCK MASS CLASSIFICATIONS SURROUNDING LARGE UNDERGROUND CAVERN AND APPLICATION. JOURNAL OF ENGINEERING GEOLOGY, 21(5): 688-695.

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CORRELATION OF ROCK MASS CLASSIFICATIONS SURROUNDING LARGE UNDERGROUND CAVERN AND APPLICATION

1.
Engineering Research Center of Rock-Soil Drilling and Excavation and Protection, Ministry of Education, Wuhan 430074;
2.
Faculty of Engineering, China University of Geosciences, Wuhan 430074;
3.
Hydro China Chengdu Engineering Corporation, Chengdu 610072

Received Date: 2012-05-20
Rev Recd Date: 2012-08-18
Publish Date: 2013-10-25

Abstract

Abstract

The rock mass quality surrounding large underground cavern is affected by many factors. The rock classification is relatively complex. Using several rock classification methods synthetically is propitious to accurately determine the integrated category of the surrounding rocks. The classifications called RMR,Q,HC,BQ and RMi are used to classify the rocks of the main workshop on the basis of the experimental data and long-term field geological work. The workshop is the representative cavern of Dagangshan hydropower station. The study is conducted by means of regression analysis. The results show that among Q value, RMR value, and HC value there are exponential relations. The same circs also appears between RMi value and HC value, between RMi value and RMR value. The correlation coefficients for each of the pairs are 0.91, 0.82, 0.87, 0.94 respectively. Meanwhile, Q value and RMi value, RMR value and HC value have shown power relations, linear relations respectively. Accordingly, the correlation coefficients between each of them are 0.90 and 0.85 respectively. Between BQ value and HC value, the RMR value show linear relations, while between BQ value and Q value, the RMi value show exponential relation and logarithmic relation in sequence. The correlation coefficients between each of them are 0.49, 0.38, 0.38, and 0.40 respectively. The results also show that the correlation of RMR,Q,HC, and RMi classification are close related. They can complement and verify each other. They can be effectively applied to engineering practice. The BQ classification has poor correlation with the other four kinds of classification, so it is not very suitable to be used in the power station and similar projects.
- Correlation,
- Surrounding rock classification,
- Large underground cavern,
- Regression analysis

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References(1)

References

[1] Cai M,Kaiser P K,Uno H.Estimation of rock mass deformation modulus and strength of jointed hard rock masses using the GSI system[J]. International Journal of Rock Mechanics and Mining Sciences, 2004, 41: 3～19.

[2] 刘佑荣, 唐辉明.岩体力学[M].北京: 化学工业出版社, 2008.

Liu Yourong, Tang Huiming. Rock Mass Mechanics. Beijing: Chemical Industry Press, 2008.

[3] Bieniawski Z T.Engineering Rock Mass Classification[M]. New York: Wiley Inter Science, 1989, 1～15.

[4] Barton N,Lien R,Lunde J.Engineering classification of rock masses for the design of tunnel support[J]. Rock Mech, 1974, 6 (4): 183～236.

[5] Palmstrom A.Characterzing rock masses by the RMi for use in practical rock engineering, part 2: Some practical applications of the Rock Mass index(RMi)[J].Tunneling and Underground Space Technology, 1996, 11 (3): 287～303.

[6] 中华人民共和国水利部.GB 50218-94工程岩体分级标准[S].北京: 中国计划出版社, 1994.

The Ministry of Water Resources of the People's Republic of China. GB 50218-94 Standard for Engineering Classification of Rock Masses. Beijing: China Planning Press, 1994.

[7] 中国电力企业联合会.GB 50287-2006水力发电工程地质勘察规范[S].北京: 中国计划出版社, 2006.

China Electricity Council. GB 50287-2006 Code for Hydropower Engineering Geological Investigation. Beijing: China Planning Press, 2006.

[8] 周建民, 金丰年,王斌,等.洞室跨度对围岩分类影响探讨[J].岩土力学, 2005, 26 (增): 303～305.

Zhou Jianmin, Jin Fengnian, Wang Bin, et al. Discussion on influence of cavern's span on surrounding rock classification. Rock and Soil Mechanics, 2005, 26 (S): 303～305.

[9] 晏长根, 刘彤,伍法权.复杂条件下大型地下洞室群的变形稳定性分析[J].工程地质学报, 2008, 16 (1): 84～88.

Yan Changgen, Liu Tong, Wu Faquan. Deformation and stability analysis of large-scale underground cavity group under complicated geological conditions. Journal of Engineering Geology, 2008, 16 (1): 84～88.

[10] 中国水电顾问集团成都勘测设计研究院. 四川省大渡河大岗山水电站可行性研究报告[R].成都, 2006.

Chengdu Hydroelectric Investigation & Design Institute of SPC.Feasibility Report of Dagangshan Hydropower Station on Dadu River in Sichuan Province. Chengdu, 2006.

[11] Palmstrom A.Spreadsheet to calculate RMR,Q and RMi values(Calculations part)[EB/OL].[2009-06-15].http: //www.rockmass.net/net/files/Q～RMR～RMi v2～1.xls.

[12] 申艳军, 徐光黎,朱可俊.RMi 岩体指标评价法优化及其应用[J].中南大学学报(自然科学版), 2011, 42 (5): 1375～1383.

Shen Yanjun, Xu Guangli, Zhu Kejun. Optimization of RMi rock mass quality evaluation method and its application. Journal of Central South University: Science and Technology, 2011, 42 (5): 1375～1383.

[13] 闫天俊, 吴雪婷,吴立.地下洞室围岩分类相关性研究与工程应用[J].地下空间与工程学报, 2009, 5 (6): 1103～1109.

Yan Tianjun, Wu Xueting, Wu Li. Correlation study on surrounding rockmass classification for underground cavern and its application. Chinese Journal of Underground Space and Engineering, 2009, 5 (6): 1103～1109.

[14] Bieniawski ZT.Promises and pitfalls: Taking stock of rock mass classifications as design aids in tunneling[C]. Proceedings-1987 Rapid Excavation and Tunneling Conference. New Orleans: Society of Mining Engineers of AIME, 1987.

[15] 周志东, 胡卸文,张倬元,等.西南某水电站坝肩岩体质量分级方法选取探讨[J].成都理工学院学报, 1999, 26 (1): 82～85.

Zhou Zhidong, Hu Xiewen, Zhang Zhuoyuan, et al. Discussion on the selection of rockmss quality classification of a hydroelectric power station abutments. Journal of Chengdu University of Technology, 1999, 26 (1): 82～85.

[16] 闫天俊, 吴雪婷,徐光黎,等.大岗山水电站地下洞室围岩分类指标研究[J].人民长江, 2009, 40 (15): 30～32.

Yan Tianjun, Wu Xueting, Xu Guangli, et al. Study on surrounding rock mass classification index of Dagangshan hydropower underground cavern. Yangtze River, 2009, 40 (15): 30～32.

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