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Mathematical Problems in Engineering
Volume 2014, Article ID 626527, 5 pages
http://dx.doi.org/10.1155/2014/626527
Research Article

Study and Application on Stability Classification of Tunnel Surrounding Rock Based on Uncertainty Measure Theory

1School of Earth Science and Resources, Chang’an University, Southern Yanta Road 126, Xi’an, Shaanxi 710054, China
2Key Laboratory of Western Mineral Resources and Geological Engineering, Ministry of Education, Chang’an University, Xi’an 710054, China
3LandOcean Energy Services Co., Ltd., Beijing 100084, China

Received 20 June 2014; Revised 2 October 2014; Accepted 2 October 2014; Published 19 October 2014

Academic Editor: Igor Andrianov

Copyright © 2014 Hujun He et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. G. Liu, The Safety Classification of Surrounding Rocks in Tunnels and Its Engineering Application Based on BP Neural Network, University of Technology, Hefei, China, 2007.
  2. C. Y. Chen and G. R. Wang, “Discussion on the interrelation of various rock mass quality classification systems at home and abroad,” Chinese Journal of Rock Mechanics and Engineering, vol. 21, no. 12, pp. 1894–1900, 2002. View at Google Scholar
  3. R. L. Chen and Z. X. Zeng, “Method of entropy coefficient to evaluate the surrounding rock stability of underground engineering,” Journal of Huaqiao University (Natural Science), vol. 29, no. 3, pp. 443–446, 2008. View at Google Scholar
  4. C. Xu and Q. Ren, “Fuzzy-synthetical evaluation on stability of surrounding rockmasses of underground engineering,” Chinese Journal of Rock Mechanics and Engineering, vol. 23, no. 11, pp. 1852–1855, 2004. View at Google Scholar · View at Scopus
  5. B. Wang, J. P. Chen, Z. X. Li, and J. Chao, “Application of artificial neural network in rock mass quality classification,” Global Geology, vol. 23, no. 1, pp. 64–68, 2004. View at Google Scholar
  6. G.-H. Yuan, J.-P. Chen, and L. Ma, “Application of extenics in evaluating of engineering quality of rock masses,” Chinese Journal of Rock Mechanics and Engineering, vol. 24, no. 9, pp. 1539–1544, 2005. View at Google Scholar · View at Scopus
  7. F. S. Wang, L. He, and M. Liu, “Risk analysis on surrounding rock stability of underground engineering with improved extension method,” Chinese Journal of Underground Space and Engineering, vol. 7, no. 12, pp. 1263–1268, 2011. View at Google Scholar
  8. F. Q. Gong and X. B. Li, “Application of distance discriminant analysis method to classification of engineering quality of rock masses,” Chinese Journal of Rock Mechanics and Engineering, vol. 26, no. 1, pp. 190–194, 2007. View at Google Scholar
  9. H.-B. Zhao, X.-T. Feng, and S.-D. Yin, “Classification of engineering rock based on support vector machine,” Rock and Soil Mechanics, vol. 23, no. 6, pp. 698–701, 2002. View at Google Scholar · View at Scopus
  10. M.-W. Wang, L. Li, and J.-L. Jin, “Set pair analysis-variable fuzzy set model for evaluation of stability of surrounding rock,” Chinese Journal of Geotechnical Engineering, vol. 30, no. 6, pp. 941–944, 2008. View at Google Scholar · View at Scopus
  11. J. L. Wang, J. P. Chen, and J. Yang, “Application of distance discriminant analysis method in classification of surrounding rock mass in highway tunnel,” Journal of Jilin University (Earth Science Edition), vol. 38, no. 11, pp. 999–1004, 2008. View at Google Scholar
  12. G. Y. Wang, “Uncertainty information and its mathematical treatment,” Journal of Harbin Architecture and Engineering Institute, vol. 23, no. 4, pp. 52–58, 1999. View at Google Scholar
  13. K. D. Liu, H. Q. Wu, and Y. J. Pang, Mathematics Treatment and Application of Uncertainty Information, Science Press, Beijing, China, 1999.
  14. K. D. Liu, H. Q. Wu, and N. P. Wang, Uncertainty Mathematics, Huazhong University of Science and Technology Press, Wuhan, China, 1997.
  15. F. Q. Gong, X. B. Li, L. J. Dong, and X. L. Liu, “Underground goaf risk evaluation based on uncertainty measurement theory,” Chinese Journal of Rock Mechanics and Engineering, vol. 27, no. 2, pp. 323–330, 2008. View at Google Scholar · View at Scopus
  16. H. J. He, S. R. Su, X. J. Wang, and P. Li, “Evaluation on activity of active faults based on uncertainty measure theory,” Disaster Advances, vol. 5, no. 4, pp. 1281–1286, 2012. View at Google Scholar · View at Scopus
  17. H. J. He, S. R. Su, X. J. Wang, and P. Li, “Study and application on comprehensive evaluation model of landslide hazard based on uncertainty measure theory,” Journal of Central South University (Science and Technology), vol. 44, no. 4, pp. 1564–1570, 2013. View at Google Scholar · View at Scopus
  18. S. Li, C. Ma, and G. Wang, “Colliery ventilation safety evaluation on the basis of the unascertained measure,” Journal of University of Science and Technology Beijing, vol. 28, no. 2, pp. 101–103, 2006. View at Google Scholar · View at Scopus
  19. The Professional Standards Compilation Group of People’s Republic of Chin, L279-2002 Specification for Design of Hydraulic Tunnel, China Water Power Press, Beijing, China, 2003.
  20. X. F. Yu, Y. R. Zheng, and H. H. Liu, Stability Analysis of Surrounding Rock for Underground Engineering, Coal Industry Press, Beijing, China, 1980.