Neural network estimation of rockburst damage severity based on engineering cases
文献类型：会议论文
| 作者 | Chen, D. F.1; Feng, X. T.1,2; Yang, C. X.1; Chen, B. R.2; Qiu, S. L.2; Xu, D. P.2 |
| 出版日期 | 2013 |
| 会议日期 | JUN 18-20, 2013 |
| 会议地点 | Tongji Univ, Shanghai, PEOPLES R CHINA |
| 页码 | 457-462 |
| 英文摘要 | Addressing the current inadequacies of a single criterion to predict the severity of damage caused by rockburst due to its complexity of the variables, this paper proposes a methodolgy with quantitative and qualitative analysis based on the engineering information from the deep and long diversion tunnels of Jinping II Hydropower Station. This method incorporates in its model of damage severity estimation by using the Genetic-BP neural network algorithm which microseismic monitoring information and engineering conditions are taken into account, and as a result provides a comprehensive estimation on the severity of damage caused by rockburst with the elimination of influence of randomness to some extent. Agood agreement between the model's estimation and the statistical data collected from measurements made in the field was observed, indicating the efficacy of the model in estimation the severity of damage caused by rockburst. |
| 源文献作者 | Feng, XT ; Hudson, JA ; Tan, F |
| 会议录 | ROCK CHARACTERISATION, MODELLING AND ENGINEERING DESIGN METHODS
 |
| 会议录出版者 | CRC PRESS-TAYLOR & FRANCIS GROUP |
| 会议录出版地 | BOCA RATON |
| 语种 | 英语 |
| WOS研究方向 | Engineering |
| WOS记录号 | WOS:000342685900076 |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/4761]  |
| 专题 | 岩土力学所知识全产出_会议论文 国家重点实验室知识产出_会议论文 |
| 作者单位 | 1.Northeastern Univ, Key Lab, Minist Educ Safe Min Deep Met Mines; 2.Chinese Acad Sci, Inst Rock & Soil Mech |
| 推荐引用方式 GB/T 7714 | Chen, D. F.,Feng, X. T.,Yang, C. X.,et al. Neural network estimation of rockburst damage severity based on engineering cases[C]. 见:. Tongji Univ, Shanghai, PEOPLES R CHINA. JUN 18-20, 2013. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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