Improved matter-element extension model and its application to prediction of rockburst intensity

被引:0
|
作者
Hu, Jian-Hua [1 ,2 ]
Shang, Jun-Long [1 ,2 ]
Zhou, Ke-Ping [1 ,2 ]
机构
[1] School of Resources and Safety Engineering, Central South University, Changsha 410083, China
[2] Key Laboratory of Deep Mining and Disaster Control in Hunan Province, Central South University, Changsha 410083, China
关键词
Classification standard - Comprehensive evaluation - Extension models - Incidence-degree - Maximum tangential stress - Rockburst intensity - Uniaxial compressive strength - Uniaxial tensile strength;
D O I
暂无
中图分类号
学科分类号
摘要
Based on the improved matter-element extension theory, an improved matter-element extension model used to predict the rockburst intensity was established. Firstly, the main factors of rockburst intensity, such as the maximum tangential stress of the cavern wall σθ, uniaxial compressive strength σc, uniaxial tensile strength σt, and the elastic energy index of rock Wet, were taken into account in the analysis. Three factors, σθ/σc, σc/σt and Wet were defined as the criterion indices for rockburst intensity prediction in the proposed model. Secondly, the classification standards of rockburst intensity were confirmed. In order to remedy the defect of the correlation function which may exceed the controlled field, the rockburst intensity classification standards were normalized. And then, based on the game theory, the synthetic weight values of eigenvalue were determined by integrating the objective-dynamic weight and subjective-static weight, solving problems occurred in traditional matter-element extension assessment method like indicator weight only depends on eigenvalue, ignoring the significance of feature. Lastly, the rockburst intensity level (RIL) was predicted by the maximum incidence degree criterion, then are improved matter-element extension model used to predict the rockburst intensity was proposed. 20 cases of the engineering project examples of the domestic and foreign were analyzed by using the proposed model to study the effectiveness and practicality of the model. The results show that the prediction results agrees well with the practical situations, and have higher accuracy compared with the results of the traditional matter-element extension method and the fuzzy mathematics comprehensive evaluation method.
引用
收藏
页码:495 / 502
相关论文
共 50 条
  • [1] A prediction model on rockburst intensity grade based on variable weight and matter-element extension
    Chen, Jianhong
    Chen, Yi
    Yang, Shan
    Zhong, Xudong
    Han, Xu
    [J]. PLOS ONE, 2019, 14 (06):
  • [2] Improvement of matter-element extension model and its application to classification of expansive soils
    Zhang, Hui-Ying
    Zeng, Jian-Min
    [J]. Yantu Lixue/Rock and Soil Mechanics, 2008, 29 (06): : 1681 - 1684
  • [3] Improvement of matter-element extension model and its application to classification of expansive soils
    Zhang Hui-ying
    Zeng Jian-min
    [J]. ROCK AND SOIL MECHANICS, 2008, 29 (06) : 1681 - 1684
  • [4] Predicting rockburst tendency based on fuzzy matter-element model
    Wang, Chunlai
    Wu, Aixiang
    Lu, Hui
    Bao, Tiancai
    Liu, Xiaohui
    [J]. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2015, 75 : 224 - 232
  • [5] Matter-element model of multi-factorial evaluation and its application to earthquake prediction
    Jiang, Chun
    Tian, Shan
    Chen, Huaran
    Wang, Jian'guo
    Feng, Deyi
    [J]. Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 18 (01): : 135 - 138
  • [6] Demand response evaluation of RIES based on improved matter-element extension model
    Wang, Yongli
    Li, Fang
    Yang, Jiale
    Zhou, Minhan
    Song, Fuhao
    Zhang, Danyang
    Xue, Lu
    Zhu, Jinrong
    [J]. ENERGY, 2020, 212
  • [7] Improved Matter-element Model based on Cloud Model and Its Application in Power Transformers Fault Diagnosis
    Wu Zhong-li
    Yuan Na
    Gong Zheng
    Zhu Yong-li
    [J]. 2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC), 2011, : 3758 - 3762
  • [8] Upgrade of extension set and information model of matter-element
    [J]. Xitong Gongcheng Lilum yu Shijian, 1 (93-96):
  • [9] The Improved Matter Element Extension Evaluating Model and Application
    Sun, Xiu-ling
    Wang, Bao-quan
    [J]. 2010 4TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING (ICBBE 2010), 2010,
  • [10] Service Evaluation of Electric Vehicle Charging Station: An Application of Improved Matter-Element Extension Method
    Yan, Qingyou
    Dong, Hua
    Zhang, Meijuan
    [J]. SUSTAINABILITY, 2021, 13 (14)