Geomechanics and Engineering

Volume 11, Number 5, 2016, pages 607-624

DOI: 10.12989/gae.2016.11.5.607

Blasting wave pattern recognition based on Hilbert-Huang transform

Xuelong Li , Enyuan Wang , Zhonghui Li , Xiaofei Bie , Liang Chen , Junjun Feng , Nan Li

Abstract

Rockburst is becoming more serious in Chinese coal mine. One of the effective methods to control rockburst is blasting. In the paper, we monitored and analyzed the blasting waves at different blast center distances by the Hilbert-Huang transform (HHT) in a coal mine. Results show that with the increase of blast center distance, the main frequency and amplitude of blasting waves show the decreasing trend. The attenuation of blasting waves is slower in the near blast field (10-75 m), compared with the far blast field (75-230 m). Besides, the frequency superposition phenomenon aggravates in the far field. A majority of the blasting waves energy at different blast center distances is concentrated around the IMF components 1-3. The instantaneous energy peak shows attenuation trend with the blast center distance increase, there are two obvious energy peaks in the near blast field (10-75 m), the energy spectrum appears "fat", and the total energy is greater. By contrast, there is only an energy peak in the far blast field, the energy spectrum is "thin", and the total energy is lesser. The HHT three dimensional spectrum shows that the wave energy accumulates in the time and frequency with the increasing of blast center distance.

Key Words

blasting wave; rockburst; HHT; instantaneous energy

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