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Noise Reduction Analysis of Tunnel Blasting Vibration Data based on OVMD-MPE Algorithm
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Shuang WANG1, Wen-qing ZHAO1, Shi-cheng ZHAO2, 3, Guang-wei HAO1, Fu-zhong LONG1, Hui SU1
Blasting | 2023, 40(4) : 166 - 173
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Blasting | 2023, 40(4): 166-173
• BLASTING SAFETY •
Noise Reduction Analysis of Tunnel Blasting Vibration Data based on OVMD-MPE Algorithm
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Shuang WANG1, Wen-qing ZHAO1, Shi-cheng ZHAO2, 3, Guang-wei HAO1, Fu-zhong LONG1, Hui SU1
Affiliations
  • 1.Shandong Luqiao Group Co., Ltd., Jinan 250011, China
  • 2.Shandong Key Laboratory of Disaster Prevention and Mitigation of Civil Engineering, Shandong University of Science and Technology, Qingdao 266590, China
  • 3.School of Qilu Transportationg, Shandong University, Jinan 250002, China
Published: 2023-12-01 doi: 10.3963/j.issn.1001-487X.2023.04.022
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Due to the influence of complex environment of tunnel blasting and the electromagnetic interference of instruments, the measured blasting vibration signals mostly contain high-frequency noise, which makes it ineffective to analyze related laws by the raw blasting vibration data. In order to obtain the real blasting vibration characteristics, a signal smoothing and noise reduction model based on the optimal variational mode decomposition (OVMD) and the multi-scale permutation entropy (MPE) is adopted, which is verified by the simulated superposition signals and measured signals. Firstly, the signal is decomposed by OVMD to obtain the band-limited intrinsic mode functions (BIMF). Then, the high-frequency BIMFs larger than the threshold set by MPE are removed as noise. Finally, the remaining BIMFs components are reconstructed to obtain the noise-reduced signal. The results show that the OVMD-MPE model can accurately identify the signal frequency information, and the first two order components can effectively reflect the effective contents of the superimposed signal, which is suitable for high-precision data analysis and feature extraction. Compared with EEMD-MPE and CEEMDAN-MPE models, the OVMD-MPE model has better noise reduction performance. The noise reduction error ratio, root mean square error and smoothness are increased by 22.05%, 48% and 33.34%, respectively. The denoised curve is closer to the original signal and is more suitable for blasting signal analysis with different source distances. The blasting vibration signals measured during the construction of the right line of Shuangzishan Tunnel are concentrated in the middle and the low frequency bands below 200 Hz. The natural frequency of the lining structure is similar to the main frequency of the blasting signal, which means shock absorption measures need to be taken to ensure the construction safety of the tunnel project.

tunnel engineering  /  blasting vibration  /  OVMD  /  MPE  /  signal noise reduction
Shuang WANG, Wen-qing ZHAO, Shi-cheng ZHAO, Guang-wei HAO, Fu-zhong LONG, Hui SU. Noise Reduction Analysis of Tunnel Blasting Vibration Data based on OVMD-MPE Algorithm[J]. Blasting, 2023 , 40 (4) : 166 -173 . DOI: 10.3963/j.issn.1001-487X.2023.04.022
Funding
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  • The Open Fund of the Engineering Research Center of Underground Mine Construction, Ministry of Education (Anhui University of Science and Technology) the Ministry of Education for Mining Underground Engineering in 2021(JYBGCZX2021102)
Appendix
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Year 2023 volume 40 Issue 4
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85
36
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Article Info
doi: 10.3963/j.issn.1001-487X.2023.04.022
  • Receive Date：2022-08-24
  • Online Date：2026-03-19
  • Published：2023-12-01
Article Data
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History
  • Received：2022-08-24
Funding
The Open Fund of the Engineering Research Center of Underground Mine Construction, Ministry of Education (Anhui University of Science and Technology) the Ministry of Education for Mining Underground Engineering in 2021(JYBGCZX2021102)
Affiliations
    1.Shandong Luqiao Group Co., Ltd., Jinan 250011, China
    2.Shandong Key Laboratory of Disaster Prevention and Mitigation of Civil Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    3.School of Qilu Transportationg, Shandong University, Jinan 250002, China

Corresponding:

ZHAO Shi-cheng (1998-), male, born in Jinan, Shandong Province, postgraduate, mainly engaged in geotechnical mechanics and engineering blasting research, (E-mail) .
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表12种不同金属材料的力学参数
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光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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