The Blasting Test with Precise Delayed Time Interval and Wavelet Pocket Analysis for Vibration Signals’ Energy

Abstract:

As a physical carrier, blasting vibration signal includes much information about blasting method, explosive charge structure and propagation medium. Based on the indoor concrete slope test with millisecond blasting and wavelet pocket analysis technology, the blasting seismic signal was analyzed in the features of energy distribution in order to control the blasting vibration hazard better. The attenuation law of the energy and the peak vibration velocity (PPV) with distance decreased were researched. The effects of delayed time interval on PPV and energy are investigated, and the paper have analyzed the weakening degree of energy and PPV of vibration signals when damping ditch exists, so was its effect on the distribution of energy. The conclusions show that: the impact is great about delayed time interval on the total energy of signals in millisecond blasting; the damping ditch made the predominant frequency for energy concentrate on the low frequency band, damping effect of the damping ditch reduced with the delay time interval increasing. When the propagation distance increased, the attenuation trend of the PPV and total energy slowed down gradually near blasting area. The PPV and energy are not necessarily meanwhile the maximum; the energy of the vibration signal is not only determined by the PPV.

• Periodical: Advanced Materials Research (Volume 1023)
• Pages: 198-204
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1023.198
• Online since: August 2014
• Authors: Li He*, Dong Wang Zhong
• Keywords: Damping Ditch, Delayed Time Interval, Millisecond Blasting, Predominant Frequency, Wavelet Packet Analysis

References

[1] DaChao Lin, HuiJi Shi, ChunHua Bai. Time-frequency characteristic analysis of blasting vibration based on wavelet transform[J]. Journal of rock mechanics and Engineering, 2004, 23(1): 101-106. (in Chinese）.

[2] XueLiang Zhang, ShuTang Huang. The blasting seismic effect[M]. Beijing: Seismological Press, 1981: 1-211. (in Chinese).

[3] GuoYuan Xu, GuoSheng Zhong, ZhengMing Xiong. Study and application of energy analysis method for blasting seismic safety based on wavelet transform [J]. Journal of geotechnical engineering, 2006, 28(1): 24-27. (in Chinese）.

[4] MingSheng Zhao, KaiShui Liang, DeYun Yu, et al. Effect of segments on time frequency characteristics of blasting vibration signals[J]. Journal of China Coal Society, 2012, 37(1): 55-61. (in Chinese).

[5] TongHua Ling, XiBing Li, TaGeng Dai, et al. The separating means of millisecond blasting vibration signal based on wavelet transform[J]. Journal of underground space and Engineering, 2006, 2(3): 491-494. (in Chinese).

[6] YongBing Jiao. Study on blasting seismic safety assessment standard [J]. Blasting, 1995, 12(50): 45-47. (in Chinese).

[7] ShengQuan Yang, XianKui Liao, BaoCheng Liu. Default of the judging standard of blasting vibration safety abstract[J]. Explosion and shock, 2001, 21(3): 223-228. (in Chinese).

[8] TongHua Ling, XiBing Li. Features of energy distribution of single deck blast vibration signals with wavelet packet analysis[J]. Journal of Vibration and Shock , 2007, 26(5): 41-43. (in Chinese).

[9] DunWen Liu, Chuang Li, YunGao Gong. New method for blasting hazards evaluation based on wavelet analysis of blasting vibration signals[J]. Journal of Central South University, 2010, 41(4): 1574-1577. (in Chinese).

[10] MingSheng Zhao, KaiShui Liang, BenWei Li. Influence of deck charge on time-frequency characteristics of a blasting vibration signal[J]. Journal of Vibration and Shock, 2012, 31(7): 85-88. (in Chinese).

[11] MingJie Zhao, XiaoMing Ye, DeLun Wu. The Wavelet-Fourier analysis of blasting seismic signal [J]. Journal of Chongqing Jiaotong University, 1999, 18(3): 1-9. （in Chinese）.

[12] GuoSheng Zhong, GuoYuan Xu, ZhengMing Xiong. Application research of the energy analysis method for blasting seismic signals based on wavelet transform [J]. Explosion and shock, 2006, 26(3): 222-227. （in Chinese）.

[13] JiChun Zhang, ZhengXue Xiao, ShuangYing Zheng, et al. Experimental study of motion characteristics of weak intercalation rock mass blasting[J]. Journal of rock mechanics and Engineering, 2009, 28(8): 1697-1703. （in Chinese）.

[14] DongWang Zhong, Liang Wu, Hao Chen. Model test and numerical simulation study of dynamic characteristics of rock slope under blast loading[J]. Journal of rock mechanics and Engineering, 2010, 29(z1): 2964-2971. （in Chinese）.

[15] ChangHua Hu, JunBo Zhang, Jun Xia, et al. Systems analysis and the design of wavelet analysis based on wavelet[J]. Xi'an: Xi'an University of Electronic Science and Technology Press, 2000: 6-266. （in Chinese）.

[16] Daubechies I. The wavelet transform time-frequency localization and signal analysis[J]. IEEE Transactions on Information Theory 1990, 36(5): 961-1005.

DOI: 10.1109/18.57199