Features of energy distribution for blast vibration signals based on wavelet packet decomposition |
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| Authors: | Ling Tong-hua Li Xi-bing Dai Ta-gen and Peng Zhen-bin |
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| Affiliation: | (1) School of High-way Engineering, Changsha University of Science and Technology, 410077 Changsha, China;(2) School of Resources and Safety Engineering, Central South University, 410083 Changsha, China;(3) School of Geoscience and Environmental Engineering, Central South University, 410083 Changsha, China |
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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.
Foundation item: Project(50490272) supported by the National Natural Science Foundation of China; project(2004036430) supported by the Postdoctoral
Science Foundation of China |
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| Keywords: | blasting vibration non-stationary random signal energy distribution wavelet transform wavelet packet decomposition |
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