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A Noise Reduction Method for Tunnel Blasting Vibration Signals based on OOA-VMD
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Rong-zeng MA1, Ze-hui DU2, 3, Wen LI1, 3, Ya-xiong PENG4, Li WU3
Blasting | 2025, 42(1) : 175 - 182
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Blasting | 2025, 42(1): 175-182
• BLASTING SAFETY •
A Noise Reduction Method for Tunnel Blasting Vibration Signals based on OOA-VMD
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Rong-zeng MA1, Ze-hui DU2, 3, Wen LI1, 3, Ya-xiong PENG4, Li WU3
Affiliations
  • 1.CCCC SHEC (Kunming) Construction Co., Ltd., Kunming 650200, China
  • 2.Hubei Key Laboratory of Advanced Materials & Reinforcement Technology Research for Marine Environment Structures, CCCC Wuhan Harbour Engineering Design and Research Co., Ltd., Wuhan 430040, China
  • 3.Engineering Research Center of Rock-Soil Drilling & Excavation and Protection, China University of Geoscieneces, Wuhan 430074, China
  • 4.Hunan Provincial Key Laboratory of Geotechnical Engineering for Stability Control and Health Monitoring, Hunan University of Science and Technology, Xiangtan 411201, China
Published: 2025-03-15 doi: 10.3963/j.issn.1001-487X.2025.01.021
Outline
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Accurate acquisition of blasting vibration signals is essential for analyzing the harmful effects of blasting operations. However, geological conditions, electromagnetic interference, and instrument errors can introduce significant high-frequency noise into the collected signals, leading to distortion and inaccurate data interpretation. To address this issue, a signal decomposition algorithm based on Ospley Optimization Algorithm (OOA) is proposed to optimize Variational Mode Decomposition (VMD). Multiscale Permutation Entropy (MPE) is also employed to construct a noise reduction model for tunnel blasting vibration signals. OOA is iteratively applied to determine the optimal VMD parameters (K & α) and obtain the intrinsic mode formula (IMF) using the maximum information coefficient as the fitness function. The MPE values of each decomposed signal are then used to identify the noise components, which are removed to reconstruct the denoised signal. This coupled algorithm was applied to analyze the blasting effects in Dashan Tunnel, Yunnan Province. The results demonstrate that the proposed optimization algorithm effectively decomposes the signal and eliminates noise without significantly affecting the low-frequency energy. The OOA-VMD denoising method's performance is superior to the complete ensemble empirical mode decomposition (CEEMD) and conventional VMD algorithm, thereby verifying its reliability.

blasting vibration signal  /  denoising algorithm  /  tunnel  /  osprey optimization algorithm  /  variational mode decomposition algorithm
Rong-zeng MA, Ze-hui DU, Wen LI, Ya-xiong PENG, Li WU. A Noise Reduction Method for Tunnel Blasting Vibration Signals based on OOA-VMD[J]. Blasting, 2025 , 42 (1) : 175 -182 . DOI: 10.3963/j.issn.1001-487X.2025.01.021
Funding
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  • State Key Laboratory of Precision Blasting and Hubei Key Laboratory of Blasting Engineering(202410)
  • Jianghan University(PBSKL2022D08)
  • Scientific research project of Hunan Provincial Department of Education(22B0486; 22B0516)
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Year 2025 volume 42 Issue 1
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86
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Article Info
doi: 10.3963/j.issn.1001-487X.2025.01.021
  • Receive Date：2024-07-21
  • Online Date：2026-03-18
  • Published：2025-03-15
Article Data
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History
  • Received：2024-07-21
Funding
State Key Laboratory of Precision Blasting and Hubei Key Laboratory of Blasting Engineering(202410)
Jianghan University(PBSKL2022D08)
Scientific research project of Hunan Provincial Department of Education(22B0486; 22B0516)
Affiliations
    1.CCCC SHEC (Kunming) Construction Co., Ltd., Kunming 650200, China
    2.Hubei Key Laboratory of Advanced Materials & Reinforcement Technology Research for Marine Environment Structures, CCCC Wuhan Harbour Engineering Design and Research Co., Ltd., Wuhan 430040, China
    3.Engineering Research Center of Rock-Soil Drilling & Excavation and Protection, China University of Geoscieneces, Wuhan 430074, China
    4.Hunan Provincial Key Laboratory of Geotechnical Engineering for Stability Control and Health Monitoring, Hunan University of Science and Technology, Xiangtan 411201, China

Corresponding:

WU Li (1963-), male, born in Zhuzhou, Hunan province, professor, mainly engaged in blasting and rock dynamics research, (E-mail) .
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https://castjournals.cast.org.cn/joweb/bp/EN/10.3963/j.issn.1001-487X.2025.01.021
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