Prediction of rockburst based on an accident database
文献类型：会议论文
| 作者 | Peixoto, Ana1; Ribeiro e Sousa, Luis1; Leal e Sousa, Rita2; Feng, Xia-Ting3; Miranda, Tiago4; Martins, Francisco4 |
| 出版日期 | 2012 |
| 会议日期 | OCT 17-21, 2011 |
| 会议地点 | Beijing, PEOPLES R CHINA |
| 关键词 | risks and hazards numerical modeling case studies |
| 页码 | 1247-1252 |
| 英文摘要 | Rockburst is characterized by a violent explosion of a certain block causing a sudden rupture in the rock and is quite common in deep tunnels. It is critical to understand the phenomenon of rockburst, focusing on the patterns of occurrence so these events can be avoid and/or managed saving costs and possibly lives. In order to further understand the conditions that trigger rockburst, several cases of rockburst that occurred around the world were collected, stored in a database and analyzed. The analysis of the collected cases allowed one to build influence diagrams, listing the factors that interact and influence the occurrence of rockburst, as well as the relation between them. Data Mining (DM) techniques were also applied to the database cases in order to determine and conclude on relations between parameters that influence the occurrence of rockburst during underground construction. A risk analysis methodology was developed based on the use of Bayesian Networks (BN) and applied to the existing information of the database and some numerical applications were performed. |
| 源文献作者 | Qian, Q ; Zhou, Y |
| 会议录 | HARMONISING ROCK ENGINEERING AND THE ENVIRONMENT
 |
| 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:000392521000224 |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/4647]  |
| 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.Univ Porto, Dept Civil Engn, Oporto, Portugal; 2.MIT, Dept Civil Engn & Environm; 3.State Key Lab Geomech & Geotech Engn ; 4.Univ Minho, Dept Civil Engn |
| 推荐引用方式 GB/T 7714 | Peixoto, Ana,Ribeiro e Sousa, Luis,Leal e Sousa, Rita,et al. Prediction of rockburst based on an accident database[C]. 见:. Beijing, PEOPLES R CHINA. OCT 17-21, 2011. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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