STUDY ON THE METHODS OF PREDICTING BLASTING-INDUCED GROUND VIBRATION INTENSITY
Blasting works with the use of explosive energy. It is an economical means for rock and soil excavation for both ground and underground engineering projects. Blast-induced ground vibration has negative consequences on nearby structures. The peak particle velocity produced by ground vibration is often used to evaluate the risk of blasting induced seismicity. There have been some empirical equations for predicting peak ground vibration velocity; however, these equations are invalid under the situation that specific conditions used for deduction can not be met. Ground vibration is complex and influenced by numerous parameters. In this paper, empirical equations and the Fourmap Method for calculating ground vibration intensity are investigated. In addition, a new method using an artificial neural network to predict the peak ground vibration velocity is proposed.
ZHI-XIN YAN PING JIANG JIAN DUAN LI YAN HOU-YU WANG
School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou, 730000, P.R.China School of Electronic and Information Engineering, Xian Jiaotong University, Xian, 710049, P.R.Chin Air Force Engineering Design & Research Bureau, Beijing, 100077, China
国际会议
The 7th International Symposium on Rockburst and Seismicity in Mines(2009年第七届国际岩爆与微振动性学术研讨会)
大连
英文
441-448
2009-08-21（万方平台首次上网日期，不代表论文的发表时间）