韩家岭隧道围岩物理力学参数反分析  

Backward Analysis of Physical and Mechanical Parameters of Surrounding Rock of Hanjialing Tunnel

作　　者：郝哲[1] 万明富[1] 刘斌[1] 常春[2] 

机构地区：[1]东北大学资源与土木工程学院,辽宁沈阳110004 [2]沈阳大学建筑工程学院,辽宁沈阳110044

出　　处：《东北大学学报（自然科学版）》2005年第3期300-303,共4页Journal of Northeastern University(Natural Science)

基　　金：交通部重点科技攻关项目(2002 353 32 07).

摘　　要：基于差分法、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反分析方法·按照正交设计要求选取不同物理力学参数,用FLAC差分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,对韩家岭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 newly developed, based on differences method, orthogonal design and artificial neural networks, where the different parameters were chosen according to orthogonal design. The related analytical samples for neural networks were given by FLAC calculation results. With the samples trained, the structure and learning parameters of networks were optimized. The physical and mechanical parameters of surrounding rock of Hanjialing tunnel were analyzed backwards by trained results and the on-the-spot surveyed data. The results satisfied the demand of precision.

关 键 词：差分法 正交设计 神经网络 隧道围岩 反分析 

分 类 号：U45[建筑科学—桥梁与隧道工程]