Features of energy distribution for blast vibration signals based on wavelet packet decomposition

Tong-hua Ling , Xi-bing Li , Ta-gen Dai , Zhen-bin Peng

Journal of Central South University ›› 2005, Vol. 12 ›› Issue (Suppl 1) : 135 -140.

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Journal of Central South University ›› 2005, Vol. 12 ›› Issue (Suppl 1) : 135 -140. DOI: 10.1007/s11771-005-0387-0
Geology, Mining And Civil Engineering

Features of energy distribution for blast vibration signals based on wavelet packet decomposition

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Abstract

Blast vibration analysis constitutes the foundation for studying the control of blasting vibration damage and provides the precondition of controlling blasting vibration. Based on the characteristics of short-time non-stationary random signal, the laws of energy distribution are investigated for blasting vibration signals in different blasting conditions by means of the wavelet packet analysis technique. The characteristics of wavelet transform and wavelet packet analysis are introduced. Then, blasting vibration signals of different blasting conditions are analysed by the wavelet packet analysis technique using MATLAB; energy distribution for different frequency bands is obtained. It is concluded that the energy distribution of blasting vibration signals varies with maximum decking charge, millisecond delay time and distances between explosion and the measuring point. The results show that the wavelet packet analysis method is an effective means for studying blasting seismic effect in its entirety, especially for constituting velocity-frequency criteria.

Keywords

blasting vibration / non-stationary random signal / energy distribution / wavelet transform / wavelet packet decomposition

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Tong-hua Ling, Xi-bing Li, Ta-gen Dai, Zhen-bin Peng. Features of energy distribution for blast vibration signals based on wavelet packet decomposition. Journal of Central South University, 2005, 12(Suppl 1): 135-140 DOI:10.1007/s11771-005-0387-0

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