Predicting the damage zone of rock slopes under blasting excavation based on vibration monitoring
YAN Peng1，2，ZOU Yujun1，2，LU Wenbo1，2，HU Yingguo1，2，LENG Zhendong1，2，ZHANG Yuzhu1，2，
LIU Liang1，2，HU Haoran1，2，CHEN Ming1，2，WANG Gaohui1，2
(1. State Key Laboratory of Water Resources and Hydropower Engineering Science，Wuhan University，Wuhan，Hubei 430072，China；2. Key Laboratory of Rock Mechanics in Hydraulic Structural Engineering of Ministry of Education，
Wuhan University，Wuhan，Hubei 430072，China)
Abstract：Vibration monitoring and acoustic detecting to rock slopes under blasting excavation at the altitude of 834.0–770.0 m on the left bank abutment slot of Baihetan hydropower project were carried out and the vibration attenuation of the first to the sixth bench was analyzed. The relationships between the peak particle velocity(PPV) and the damage depth at different distances to the blast center were obtained with the method of regression analysis. These relationships were applied to predict the damage depth of the seventh bench using the results of vibration monitoring. When the lithology of the slope was uniform and there was no large structural plane in the rock mass，the PPV at certain distance to the slope had a high correlation with damage depth. Predicting the damage zone using the correlations between vibration attenuation of pre-splitting blasting and damage depth of reserved rock mass was simple and convenient，thus greatly reducing the massive acoustic detection workload of rock slopes. Taking the geological conditions and physiognomy changes induced by excavation into consideration，other factors needed to be involved in regression analysis or acoustic detection points of key positions are supplemented to promote the prediction accuracy of damage depth.
严 鹏1，2，邹玉君1，2，卢文波1，2，胡英国1，2，冷振东1，2，张玉柱1，2，刘 亮1，2，胡浩然1，2，陈 明1，2，王高辉1，2. 基于爆破振动监测的岩石边坡开挖损伤区预测[J]. 岩石力学与工程学报, 2016, 35(3): 538-548.
YAN Peng1，2，ZOU Yujun1，2，LU Wenbo1，2，HU Yingguo1，2，LENG Zhendong1，2，ZHANG Yuzhu1，2，. Predicting the damage zone of rock slopes under blasting excavation based on vibration monitoring. , 2016, 35(3): 538-548.
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2016, Vol. 35 
