Attribute Recognition Analysis Method Based on Entropy Weight for Comprehensive Assessment and Prediction of Rockburst Risk
Main control indicators of different types of rockburst have obviously differences. In this paper, main control indicators of non-structural rockburst proposed, such as the ratio of uniaxial compressive strength and uniaxial tensile strength of rock σc/σt, the ratio of in-situ stress and uniaxial compressive strength of rock σθ/σc, elastic energy index of rock Wet, and the integrity index of rock mass Kv, are regarded as the evaluated factors. And then, multi-source information classification standards that are established in combination with theories and engineering cases over the years for this type of rockburst are used as evaluation criteria of rockburst risk analysis. Based on these results and the principle of attribute recognition, an attribute recognition analysis method based on entropy weight is established to predict and assess the possibility and classification of rockburst risk. A series of underground rock projects are evaluated with the proposed method. The evaluated results show a good agreement with the practical records, and it proves that the proposed method is effective in assessment and prediction of rockburst risk.
rock mechanics non-structural rockburst risk analysis and attribute recognition method based on entropy weight
Shuling Huang Xiuli Ding Aiqing Wu
Key Laboratory of Geotechnical Mechanics and Engineering of Ministry of Water Resources,Changjiang River Scientific Research Institute,Wuhan,Hubei 430010,China
国际会议
大连
英文
342-346
2009-10-20（万方平台首次上网日期，不代表论文的发表时间）