淮南矿区深部岩巷典型围岩参数反分析研究!  

Parameters Back Analysis of Typical Deep Surrounding Rockmass in Huainan Coal Mine

作　　者：高玮[1] 刘泉声[1] 

机构地区：[1]武汉大学土木建筑工程学院,湖北武汉430072

出　　处：《沈阳大学学报（自然科学版）》2013年第1期58-64,68,共8页Journal of Shenyang University：Natural Science

基　　金：国家自然科学基金项目(41072233)

摘　　要：基于典型巷道的表面收敛位移,通过进化神经网络方法进行了淮南矿区典型围岩类型的物性参数反分析研究.采用反分析得到的参数,通过数值正分析得到了和实测基本吻合的深部位移结果.表明通过反分析研究,基本得到了反映典型围岩类型的物性参数.From the monitoring convergence displacements of typical roadways, based on evolutionary neural network model, the typical surrounding rockmass parameters at Huainan coal mine are back analyzed. By the results of back analysis, from FEM method, the deep displacements are computed, and are compared with the monitoring results. The results show that, the computed deep displacements coincide with the monitoring ones very well, and the suitable parameters of deep rock roadways can be gotten conveniently.

关 键 词：淮南矿区 深部巷道 进化神经网络 反分析 围岩参数 

分 类 号：TD325[矿业工程—矿井建设]