中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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; Wan, Xiangbing2
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
DOI10.1109/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
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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