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author:

Fu, Xiaoqiang (Fu, Xiaoqiang.) [1] | Dai, Liangyu (Dai, Liangyu.) [2] | Yu, Jin (Yu, Jin.) [3] | Shao, Yiqiang (Shao, Yiqiang.) [4]

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Abstract:

In order to solve the problem of difficulty in determining the number of modes and quadratic penalty factors in the process of variational mode decomposition, a GWO-VMD algorithm was proposed. Based on the Longlong Tunnel gas explosion method construction, an integrated acquisition module was used to collect vibration signals during the rock-breaking process. The phase space reconstruction recursive graph (RP) similarity model was used to accurately distinguish the GWO-VMD principal components of the signals. The real signal with interference removed was reconstructed, revealing the distribution characteristics of the energy of the gas explosion signal in the time-frequency domain, and quantifying the accuracy error of the digital electronic detonator. The results show that compared with traditional variational mode algorithms, the GWO-VMD algorithm has significant advantages in improving the signal-to-noise ratio and adaptive feature extraction of gas explosion signals, and has strong time-varying frequency tracking performance. It can accurately identify the detonation accuracy of digital detonators and effectively identify the related of tunnel-blasting detonator disaster sources. © 2025 Editorial Department of China Safety Science Journal. All rights reserved.

Keyword:

Detonation Explosions Finite difference method Frequency domain analysis Phase space methods Signal reconstruction Signal to noise ratio Tunnels Variational mode decomposition Variational techniques

Community:

  • [ 1 ] [Fu, Xiaoqiang]College of Architecture and Civil Engineering, Sanming University, Fujian, Sanming; 365004, China
  • [ 2 ] [Fu, Xiaoqiang]Sanming Coffer Fine Chemical Industrial Co., Ltd., Fujian, Sanming; 365500, China
  • [ 3 ] [Fu, Xiaoqiang]Fujian Research Center for Tunneling and Urban Underground Space Engineering, Huaqiao University, Fujian, Xiamen; 361021, China
  • [ 4 ] [Dai, Liangyu]Sanming Coffer Fine Chemical Industrial Co., Ltd., Fujian, Sanming; 365500, China
  • [ 5 ] [Yu, Jin]Fujian Research Center for Tunneling and Urban Underground Space Engineering, Huaqiao University, Fujian, Xiamen; 361021, China
  • [ 6 ] [Shao, Yiqiang]College of Civil Engineering, Fuzhou University, Fujian, Fuzhou; 350108, China

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Source :

China Safety Science Journal

ISSN: 1003-3033

Year: 2025

Issue: 5

Volume: 35

Page: 64-72

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 0

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