A Parameter Intelligent Recognition Method and Numerical Simulation of Large Underground Caverns
会议名称：《2009 International Conference on Computational Intelligence and Natural Computing(CINC 2009)》
会议日期：2009年
学科分类：08[工学] 080104[工学-工程力学] 0815[工学-水利工程] 0801[工学-力学（可授工学、理学学位）]
基 金：supported by National Science Foundation of China under Grant No 50539090 the Open Research Fund of the State Key Laboratory of Geomechanics and Geotechnical Engineering, Chinese Academy of Sciences under grant No Z000701 National Science Technology Support Program under grant No 2006BAB04A06
关 键 词：parameters recognition intelligent method undergrpund engineering numerical calculation
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.