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Prediction of characteristic blast-induced vibration frequency during underground excavation by using wavelet transform |
Tae Un PAK1, Guk Rae JO1, Un Chol HAN2() |
1. Faculty of Mining Engineering, Kim Chaek University of Technology, Pyongyang 999093, Democratic People’s Republic of Korea 2. School of Science and Engineering, Kim Chaek University of Technology, Pyongyang 999093, Democratic People’s Republic of Korea |
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Abstract Blast-induced vibration produces a very complex signal, and it is very important to work out environmental problems induced by blasting. In this study, blasting vibration signals were measured during underground excavation in carbonaceous shale by using vibration pickup CB-30 and FFT analyzer AD-3523. Then, wavelet analysis on the measured results was carried out to identify frequency bands reflecting changes of blasting vibration parameters such as vibration velocity and energy in different frequency bands. Frequency characteristics are then discussed in view of blast source distance and charge weight per delay. From analysis of results, it can be found that peak velocity and energy of blasting vibration in frequency band of 62.5–125 Hz were larger than ones in other bands, indicating the similarity to characteristics in the distribution band (31–130 Hz) of main vibration frequency. Most frequency bands were affected by blasting source distance, and the frequency band of 0–62.5 Hz reflected the change of charge weight per delay. By presenting a simplified method to predict main vibration frequency, this research may provide significant reference for future blasting engineering.
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Keywords
wavelet analysis
blast-induced vibration
frequency characteristics
underground excavation
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Corresponding Author(s):
Un Chol HAN
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Just Accepted Date: 17 August 2022
Online First Date: 01 November 2022
Issue Date: 02 December 2022
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1 |
A K Mishra, R N Gupta. Rapid excavation of tunnels using innovative drilling and blasting techniques. In: The 10th International Symposium on Rock Fragmentation by Blasting. London: Tailor & Francis Group, 2013, 15–22
|
2 |
Z Wang, C Fang, Y Chen, W Cheng. A comparative study of delay time identification by vibration energy analysis in millisecond blasting. International Journal of Rock Mechanics and Mining Sciences, 2013, 60: 389–400
https://doi.org/10.1016/j.ijrmms.2012.12.032
|
3 |
J H Yang, W B Lu, Q H Jiang, C Yao, C B Zhou. Frequency comparison of blast-induced vibration per delay for the full-face millisecond delay blasting in underground opening excavation. Tunnelling and Underground Space Technology, 2016, 51: 189–201
https://doi.org/10.1016/j.tust.2015.10.036
|
4 |
V R Sastry, G R Chandra. Assessment of seismic energy obtained from blast induced ground vibrations using signal processing computation techniques. In: Processing of on Recent Trends in Electronics Information & Communication Technology. Bangalore: IEEE, 2016, 31–35
https://doi.org/10.1109/RTEICT.2016.7807776
|
5 |
T Hudaverdi. Application of multivariate analysis for prediction of blast-induced ground vibrations. Soil Dynamics and Earthquake Engineering, 2012, 43: 300–308
https://doi.org/10.1016/j.soildyn.2012.08.002
|
6 |
J Zhou, W Lu, P Yan, M Chen, G Wang. Frequency-dependent attenuation of blasting vibration waves. Rock Mechanics and Rock Engineering, 2016, 49(10): 4061–4072
https://doi.org/10.1007/s00603-016-1046-5
|
7 |
H Li, X Li, J Li, X Xia, X Wang. Application of coupled analysis methods for prediction of blast-induced dominant vibration frequency. Earthquake Engineering and Engineering Vibration, 2016, 15(1): 153–162
https://doi.org/10.1007/s11803-016-0312-6
|
8 |
X F Deng, J B Zhu, S G Chen, Z Y Zhao, Y X Zhou, J Zhao. Numerical study on tunnel damage subject to blast-induced shock wave in jointed rock masses. Tunnelling and Underground Space Technology, 2014, 43: 88–100
https://doi.org/10.1016/j.tust.2014.04.004
|
9 |
Y Motoyama, S Mikame, K Nojima, M Kawahara. Second-order adjoint equation method for parameter identification of rock based on blast waves in tunnel excavation. Engineering Optimization, 2014, 46(7): 939–963
https://doi.org/10.1080/0305215X.2013.806917
|
10 |
P Li, W B Lu, X X Wu, M Chen, P Yan, Y G Hu. Spectral prediction and control of blast vibrations during the excavation of high dam abutment slopes with millisecond-delay blasting. Soil Dynamics and Earthquake Engineering, 2017, 94: 116–124
https://doi.org/10.1016/j.soildyn.2017.01.007
|
11 |
A Cohen. Numerical Analysis of Wavelet Methods. Amsterdam: Elsevier, 2003
|
12 |
J Morlet, G Arens, E Fourgeau, D Glard. Wave propagation and sampling theory. Geophysics, 1982, 47(2): 203–221
https://doi.org/10.1190/1.1441328
|
13 |
D Huang, S Cui, X Li. Wavelet packet analysis of blasting vibration signal of mountain tunnel. Soil Dynamics and Earthquake Engineering, 2019, 117: 72–80
https://doi.org/10.1016/j.soildyn.2018.11.025
|
14 |
D Ainalis, L Ducarne, O Kaufmann, J P Tshibangu, O Verlinden, G Kouroussis. Improved analysis of ground vibrations produced by man-made sources. Science of the Total Environment, 2018, 616−617: 517–530
https://doi.org/10.1016/j.scitotenv.2017.10.291
|
15 |
R M Wheeler. How millisecond delay periods may enhance or deduce blast vibration effects. Mining Engineering, 1988, 40(10): 969–973
|
16 |
Y P Zhang, Z X Liu. Wavelet analysis and Hilbert-Huang transform of blasting vibration signal. Explosion and Shock Waves, 2005, 25(6): 528–535
https://doi.org/10.11883/1001-1455(2005)06-0528-08
|
17 |
M X Lan, C M Lin. Wavelet packet analysis of vibration caused by high rock slope blasting. Nonferrous Metals (Mining Section), 2009, 61(2): 43–45
|
18 |
C Xu, C Deng. Investigating spectral behavior of tunnel blast induced vibration using wavelet analysis a case study of a dam in China. Journal of Civil Structural Health Monitoring, 2016, 6(3): 637–647
https://doi.org/10.1007/s13349-016-0183-6
|
19 |
K G Hinzen. Comparison of seismic and explosive energy in five smooth blasting test rounds. International Journal of Rock Mechanics and Mining Sciences, 1998, 35(7): 957–967
https://doi.org/10.1016/S0148-9062(98)00159-4
|
20 |
T H LingX B Li. Time-energy analysis based on wavelet transform for identifying real delay time in millisecond blasting. Chinese Journal of Rock Mechanics and Engineering, 2004, 23(12): 2266−2270 (in Chinese)
|
21 |
G S Zhong, J Li, K Zhao. Structural safety criteria for blasting vibration based on wavelet packet energy spectra. Mining Science and Technology (China), 2011, 21(1): 35–40
https://doi.org/10.1016/j.mstc.2010.12.016
|
22 |
G G U AldasB Ecevitoglu. Waveform analysis in mitigation of blast-induced vibrations. Journal of Applied Geophysics, 2008, 66(1−2): 25−30
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