基于BP的地下硐室围岩位移预测方法及应用  

Displacement Prediction Method of Surrounding Rock in Chamber Based on BP Neural Network and Its Application

作　　者：贾涛 杜飞 赵洋 

机构地区：[1]山东黄金矿业(莱州)有限公司三山岛金矿

出　　处：《现代矿业》2015年第3期116-118,共3页Modern Mining

摘　　要：以某工程实例为背景,建立基于人工神经网络的硐室围岩收敛位移预报模型,对已开挖的3个硐室围岩最终位移量进行检测,并将硐室围岩最终位移量与围岩坚固性系数的关系进行拟合,得到相应的关系函数,应用该函数对本分段内即将开挖的硐室D4的最终位移量进行了预测,预测值与实测结果吻合度较高,为后续施工过程中对围岩位移监测提供了重要的技术参考。Taking a engineering example as the research background,the convergence displacement prediction model of chamber surrounding rock based on artifical neural network is established so as to monitor the final displacement of thess chambers that are already excavated,and the relationship between the final displacement of chamber surrounding rock and sturdiness coefficient of surrounding rock is fitted so as to obtain the corresponding relationship function. The relationship function is used to predict the final displacement of D4 chamber that will be excavated in this section. The research results show that,the consistency of prediction value and measured results is good. Therefore,the research method in this paper can provide technical reference for the monitoring the displacement of surrounding rock in the process of subsequent construction.

关 键 词：硐室 BP网络预测 围岩收敛 坚固性系数 

分 类 号：TD325[矿业工程—矿井建设]