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

  • Geology, Mining And Civil Engineering
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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.

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Authors and Affiliations

  1. School of High-way Engineering, Changsha University of Science and Technology, 410077, Changsha, China

    Ling Tong-hua PhD (Assistant professor)

  2. School of Resources and Safety Engineering, Central South University, 410083, Changsha, China

    Ling Tong-hua PhD (Assistant professor) & Li Xi-bing

  3. School of Geoscience and Environmental Engineering, Central South University, 410083, Changsha, China

    Dai Ta-gen & Peng Zhen-bin

Authors
  1. Ling Tong-hua PhD
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  2. Li Xi-bing
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  3. Dai Ta-gen
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  4. Peng Zhen-bin
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Corresponding author

Correspondence to Ling Tong-hua PhD.

Additional information

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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Ling, Th., Li, Xb., Dai, Tg. et al. Features of energy distribution for blast vibration signals based on wavelet packet decomposition. J Cent. South Univ. Technol. 12 (Suppl 1), 135–140 (2005). https://doi.org/10.1007/s11771-005-0387-0

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  • DOI: https://doi.org/10.1007/s11771-005-0387-0

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