Please wait a minute...
Frontiers of Structural and Civil Engineering

ISSN 2095-2430

ISSN 2095-2449(Online)

CN 10-1023/X

Postal Subscription Code 80-968

2018 Impact Factor: 1.272

Front. Struct. Civ. Eng.    2022, Vol. 16 Issue (8) : 1029-1039    https://doi.org/10.1007/s11709-022-0861-x
RESEARCH ARTICLE
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
 Download: PDF(3889 KB)   HTML
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
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.

Keywords wavelet analysis      blast-induced vibration      frequency characteristics      underground excavation     
Corresponding Author(s): Un Chol HAN   
Just Accepted Date: 17 August 2022   Online First Date: 01 November 2022    Issue Date: 02 December 2022
 Cite this article:   
Tae Un PAK,Guk Rae JO,Un Chol HAN. Prediction of characteristic blast-induced vibration frequency during underground excavation by using wavelet transform[J]. Front. Struct. Civ. Eng., 2022, 16(8): 1029-1039.
 URL:  
https://academic.hep.com.cn/fsce/EN/10.1007/s11709-022-0861-x
https://academic.hep.com.cn/fsce/EN/Y2022/V16/I8/1029
Fig.1  Vibration pickup CB-30 and FFT analyzer AD-3523.
Fig.2  Measurement condition and setting state of devices.
signal blasting source distance, R (m) charge weight per delay, Qstep (kg) total charge weight (kg) peak vibration velocity, Vmax (cm/s)
1 2.0 0.2 0.2 5.7471
2 2.0 0.2 0.2 4.1420
3 4.6 0.2 0.6 2.5353
4 5.2 0.4 1.6 4.4471
5 5.2 0.4 1.6 4.2353
6 8.4 0.4 0.4 1.7918
7 8.4 0.2 0.4 1.9524
8 13.9 0.3 0.6 1.1941
9 13.9 0.6 0.6 1.5100
10 14.6 0.6 3.2 1.8770
Tab.1  Measuring data of blasting vibration
Fig.3  Waveform of measured blasting vibration. (a) Signal 1; (b) signal 2; (c) signal 3; (d) signal 4; (e) signal 5; (f) signal 6; (g) signal 7; (h) signal 8; (i) signal 9; (j) signal 10.
Fig.4  Blasting vibration contents of six decomposed frequency bands: (a) blasting vibration signal; (b) 0–15.625 Hz frequency band content; (c) 15.625–31.25 Hz frequency band content; (d) 31.25–62.5 Hz frequency band content; (e) 62.5–125 Hz frequency band content; (f) 125–250 Hz frequency band content; (g) 250–500 Hz frequency band content.
Fig.5  Peak vibration velocity of blasting vibration components in each frequency band.
Fig.6  Energy of blasting vibration components in each frequency band.
Fig.7  RVmax diagram of blasting vibration signal components in each frequency band.
Fig.8  RE diagram of blasting vibration signal components in each frequency band.
Fig.9  QstepVmax diagram of blasting vibration signal components in each frequency band.
Fig.10  QstepE diagram of blasting vibration signal components in each frequency band.
frequency band (Hz) kj αj characteristic equation
0–15.625 1.9345 0.6491 v1=1.9345 (Q3R)0.6491
15.625–31.25 1.1966 0.2652 v2=1.1966 (Q3R)0.2652
31.25–62.5 1.7815 0.3251 v3=1.7815 (Q3R)0.3251
62.5–125 5.8268 0.6005 v4=5.8268 (Q3R)0.6005
125–250 5.3260 0.8898 v5=5.326 (Q3R)0.8898
250–500 2.6116 0.7932 v6=2.6116 (Q3R)0.7932
Tab.2  Damping coefficients and characteristic equation of blasting vibration components in each frequency band
Fig.11  Normalized wavelet coefficients. (a) 0–15.625 Hz; (b) 15.625–31.25 Hz; (c) 31.25–62.5 Hz; (d) 62.5–125 Hz; (e) 125–250 Hz; (f) 250–500 Hz.
Fig.12  Comparisons between predicted and measured waveforms. (a) signal 2; (b) signal 3; (c) signal 4; (d) signal 5; (e) signal 6; (f) signal 7; (g) signal 8; (h) signal 9; (i) signal 10.
Fig.13  Comparative analysis of predicted and measured values of main frequency band.
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
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed