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Prediction of rock burst in underground caverns based on rough set and extensible comprehensive evaluation

  • Yiguo Xue
  • Zhiqiang Li
  • Shucai Li
  • Daohong QiuEmail author
  • Yufan Tao
  • Lin Wang
  • Weimin Yang
  • Kai Zhang
Original Paper
  • 283 Downloads

Abstract

In high terrestrial stress regions, rock burst is a major geological disaster influencing underground engineering construction significantly. How to carry out efficient and accurate rock burst prediction is still not resolved. In this paper, a new rock burst evaluation method based on rough set theory and extension theory is proposed. In the method the following seven indexes were selected as indices to evaluate and predict rock bursts: uniaxial compressive strength, ratio of rock strength to in situ stress, ratio of rock compressive strength to tensile strength, ratio of tangential stress and rock compressive strength, elastic strain energy index, depth of tunnel, and rock integrity. According to rough set theory, those indexes influencing rock bursts were investigated through attribute reduction operation to obtain four main influential indexes and the weight coefficients of each evaluation index were acquired by analysing the significance of conditional attribute. Thereafter, the main influential indexes and its weight were taken into the extension theory to predict the practical engineering. This method was applied to a practical case, underground caverns of Jiangbian hydropower station in China’s Sichuan province. It is proved that the evaluation results of the method were well consistent with real conditions.

Keywords

Rock burst prediction Rough set theory Extension theory Underground caverns 

Notes

Acknowledgements

The work described in this paper was substantially supported by a grant from National Natural Science Foundation of China (CN) (51309144, 51379112, 51422904) and the National Program on Key Basic Research Project of China (973 Program) (No. 2013CB036002).

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Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Yiguo Xue
    • 1
  • Zhiqiang Li
    • 1
  • Shucai Li
    • 1
  • Daohong Qiu
    • 1
    Email author
  • Yufan Tao
    • 1
  • Lin Wang
    • 1
  • Weimin Yang
    • 1
  • Kai Zhang
    • 1
  1. 1.Research Center of Geotechnical and Structural EngineeringShandong UniversityJinanChina

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