(1. School of Civil and Environmental Engineering，University of Science and Technology Beijing，Beijing 100083，China；
2. Sinosteel Corporation Wuhan Safety and Environmental Protection Research Institute，Wuhan，Hubei 430081，China)
Abstract：Based on in-situ microseismic data，the features of blasting vibration and rock fracture microseismic signals were studied. Firstly，using the wavelet packet analysis method，the microseismic signals were decomposed into 5 multi-scale，32 frequency bands to calculate the signals energy under different bands. Secondly，via building 4 new frequency bands to compare the rock fracture signals and blasting vibration signals，the energy distribution was different，and the contrasting characteristics was more obvious. The results indicate that the frequency band energy distribution character of microseismic signals in mine field are as follows：the energy of rock fracture signals was concentrated in S5，0–S5，7 bands(0–125 Hz)；blasting vibration signal was more obviously concentrated in S5，24–S5，31 bands(375–500 Hz). This analysis procedure provides a new method for recognizing blasting vibration and rock fracture signals，and the calculated distribution feature of signals energy can be used to recognize microseismic waveforms as feature index.
朱权洁1，姜福兴1，于正兴1，尹永明1，吕 垒2. 爆破震动与岩石破裂微震信号能量分布特征研究[J]. 岩石力学与工程学报, 2012, 31(4): 723-730.
ZHU Quanjie1，JIANG Fuxing1，YU Zhengxing1，YIN Yongming1，LU Lei2. STUDY ON ENERGY DISTRIBUTION CHARACTERS ABOUT BLASTING VIBRATION AND ROCK FRACTURE MICROSEISMIC SIGNAL. , 2012, 31(4): 723-730.
张义平，李夕兵，凌同华. 爆破震动信号分析理论与技术[M]. 北京：科学出版社，2008：26-36.(ZHANG Yiping，LI Xibing，LING Tonghua. Analysis of blast vibration signal—theories and methods[M]. Beijing：Science Press，2008：26-36.(in Chinese))
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2012, Vol. 31 
