骡坪隧道围岩参数的智能反分析研究  

The Intelligent Back Analysis of Luo Ping Tunnel Rock Parameters

作　　者：刘蒙蒙[1] 张璐[2] 江俊松[1] 

机构地区：[1]西华大学建筑与土木工程学院,四川成都610039 [2]成都纺织高等专科学校,四川成都611731

出　　处：《西华大学学报（自然科学版）》2011年第4期94-96,共3页Journal of Xihua University:Natural Science Edition

摘　　要：基于有限元理论、正交设计和人工神经网络建立了新的隧道围岩物理力学参数智能反分析方法。按照正交设计和均匀设计要求选取不同物理力学参数,用ANSYS有限元程序计算得出相应的神经网络分析样本;进行网络训练和网络结构及学习参数优化;利用现场监测数据,对骡坪隧道围岩物理力学参数进行神经网络反分析,分析结果满足精度要求。A backward analysis of physical and mechanical parameters of surrounding rock was conducted based on finite element method,orthogonal design and artificial neural networks,in which different parameters were chosen according to orthogonal design.The related analytical samples for neural networks were given by ANSYS calculation results.With the samples trained,the structure and learning parameters of networks were optimized.The physical and mechanical parameters of surrounding rock of Luoping tunnel were analyzed backwards by trained results and the on-the-spot surveyed data.The results met the demand of precision.

关 键 词：正交设计 人工神经网络 反分析 物理力学参数 

分 类 号：U455[建筑科学—桥梁与隧道工程]