A Parameter Intelligent Recognition Method and Numerical Simulation of Large Underground Caverns
文献类型:会议论文
作者 | Xiang, Tianbing1; Jiang, Quan1; Feng, Xiating1![]() |
出版日期 | 2009 |
会议日期 | JUN 06-07, 2009 |
会议地点 | Wuhan, PEOPLES R CHINA |
关键词 | parameters recognition intelligent method undergrpund engineering numerical calculation |
DOI | 10.1109/CINC.2009.59 |
页码 | 482 |
英文摘要 | To gain the equivalent mechanical parameter of rock in underground engineering and to improve the precision of numerical simulation of excavation, a new multi-information intelligent recognition method of rock mechanical parameter is put forward. By coupling artificial neural network and genetic algorithm as a whole algorithm and by building an associated fitness function to absorb multi-information, a combinatorial intelligent optimization method is available for parameter recognition. The method realizes the global optimization efficiently and improves the uniqueness of searched parameter as far as possible. After recognizing the equivalent mechanical parameters of rock in Jinping II underground caverns by above method, the performance of surround rock in construction is calculated by 3D numerical simulation with the characters of 1168 thousand elements and 234 gridpoints. The practical application indicates that the intelligent method is reliable to analyze and predict the safety of underground engineering. |
会议录 | PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND NATURAL COMPUTING, VOL I
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会议录出版者 | IEEE COMPUTER SOC |
会议录出版地 | LOS ALAMITOS |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS记录号 | WOS:000274874600118 |
源URL | [http://119.78.100.198/handle/2S6PX9GI/4542] ![]() |
专题 | 岩土力学所知识全产出_会议论文 岩土力学所知识全产出 |
作者单位 | 1.Chinese Acad Sci, Inst Rock & Soil Mech ; 2.China Hydropower Engn Consulting Grp Co, East China Invest & Design Inst |
推荐引用方式 GB/T 7714 | Xiang, Tianbing,Jiang, Quan,Feng, Xiating,et al. A Parameter Intelligent Recognition Method and Numerical Simulation of Large Underground Caverns[C]. 见:. Wuhan, PEOPLES R CHINA. JUN 06-07, 2009. |
入库方式: OAI收割
来源:武汉岩土力学研究所
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