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

被引:67
|
作者
Xue, Yiguo [1 ]
Li, Zhiqiang [1 ]
Li, Shucai [1 ]
Qiu, Daohong [1 ]
Tao, Yufan [1 ]
Wang, Lin [1 ]
Yang, Weimin [1 ]
Zhang, Kai [1 ]
机构
[1] Shandong Univ, Res Ctr Geotech & Struct Engn, Jinan 250061, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
Rock burst prediction; Rough set theory; Extension theory; Underground caverns; CLOUD MODEL; ROCKBURST;
D O I
10.1007/s10064-017-1117-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:417 / 429
页数:13
相关论文
共 50 条
  • [21] Prediction of rock burst intensity based on unascertained measure-intuitionistic fuzzy set
    Wu S.
    Yang S.
    Huo L.
    Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 2020, 39 : 2930 - 2939
  • [22] Research on evaluation method of rock burst tendency based on improved comprehensive weighting
    Li K.
    Li M.
    Qin Q.
    Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 2020, 39 : 2751 - 2762
  • [23] Catastrophe progression method on comprehensive evaluation of rock burst
    Jin, Pei-Jian
    Wang, En-Yuan
    Liu, Xiao-Fei
    Huang, Ning
    Wang, Si-Heng
    Caikuang yu Anquan Gongcheng Xuebao/Journal of Mining and Safety Engineering, 2013, 30 (02): : 256 - 261
  • [24] Stability evaluation of rock slope basing on rough set
    Qie, Zhi-Hong
    Wu, Xin-Miao
    Lian, Ji-Jian
    Wang, Fu-Zeng
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 2310 - +
  • [25] Research on Comprehensive Prediction of Rock burst in Sanshandao Gold Mine
    Li, Zhengsheng
    Miao, SHengjung
    Ren, Fenhua
    PROGRESS IN CIVIL ENGINEERING, PTS 1-4, 2012, 170-173 : 1612 - 1617
  • [26] Safety Evaluation of Underground Caverns Based on Monte Carlo Method
    Guo, Qifeng
    Dong, Zhihong
    Cai, Meifeng
    Ren, Fenhua
    Pan, Jiliang
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020
  • [27] COMPREHENSIVE EVALUATION OF THE RAILWAY PASSENGER'S SATISFACTION BASED ON ROUGH SET AND ENTROPY
    Feng Yun-qing
    Li Xue-wei
    Li Xue-mei
    ICEIS 2011: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 4, 2011, : 629 - 635
  • [28] Rock burst laws in deep mines based on combined model of membership function and dominance-based rough set
    Lang Liu
    Zhong-qiang Chen
    Li-guan Wang
    Journal of Central South University, 2015, 22 : 3591 - 3597
  • [29] An improved comprehensive evaluation model of software dependability based on rough set theory
    Li, Bo
    Cao, Yang
    Journal of Software, 2009, 4 (10) : 1152 - 1159
  • [30] Comprehensive Evaluation of Power Quality Based on the Integration of Rough Set and Evidence Theory
    Li, Shangyuang
    ADVANCES IN ENERGY SCIENCE AND TECHNOLOGY, PTS 1-4, 2013, 291-294 : 1336 - 1345