矿山台阶爆破震动速度预测方法的研究  

Study on the Prediction Method of Vibration Velocity in Bench Blasting

作　　者：李小武[1] 周铭[1] 胡韬[1] 代雨昊 何皇兵 

机构地区：[1]昆明有色冶金设计研究院股份公司,云南昆明650051

出　　处：《有色金属设计》2015年第1期1-5,18,共6页Nonferrous Metals Design

摘　　要：针对某露天矿山采场附近居民房屋出现裂缝的问题,进行矿山居民房屋现场测震,并现场实验检验了传统萨道夫斯基线性回归方法与BP神经网络预测震动速度的两种方法的可靠性,采用BP神经网络方法进行爆破震动质点速度的预测,再通过调整爆破设计降低爆破震动,保障了房屋的安全。As cracks were observed in the wall of resident houses near the open stope,vibration measurement on site was carried out. The reliability of traditional Sadov＇s linear regression and vibration velocity prediction by BP neural network was examined. The blasting vibration particle velocity prediction of by BP neural network was adopted and the blasting vibration was reduced by adjusting the blasting design,thus ensuring the housing security.

关 键 词：矿山爆破 爆破震动 神经网络预测 房屋安全 

分 类 号：TD235[矿业工程—矿井建设]