Analysis and Research on Blasting Network Delay of Deep-Buried Diversion Tunnel Crossing Fault Zone Based on EP-CEEMDAN-INHT

Jing Wu,Miao Sun,Ya-Ni Lu,Yan-Hua Han,Li Wu

doi:10.1007/s10706-021-01968-9

Jing Wu, Miao Sun + Show 3 more

Open Access

https://doi.org/10.1007/s10706-021-01968-9

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Abstract

The Empirical Mode Decomposition (EMD) of blasting seismic wave monitoring signal with noise can get IMFs with serious modal confusion and endpoint divergence. The Hilbert transform is constrained by the Bedrosian theorem, when it dealing with such IMFs will get negative instantaneous frequency, which leads to serious error in the identification of non-electric millisecond detonator initiation delay. EP-CEEMDAN-INHT is proposed and applied to the delay analysis of blasting network of deep buried diversion tunnel crossing fault zone. Comparing EP-CEEMDAN-INHT with EMD-HHT, it is found that EP-CEEMDAN-INHT can clearly display the time–frequency information contained in the measured blasting vibration signal, and EMD modal confusion and endpoint effect are well suppressed. The actual millisecond time interval obtained by EP-CEEMDAN-INHT can judge whether the detonator is in normal service. At the same time, the blasting millisecond interval with the best damping effect is 54.51–59.75 ms, which can realize the optimization of blasting network and has important practical significance for blasting safety control.

Highlights

The Empirical Mode Decomposition (EMD) of blasting seismic wave monitoring signal with noise can get Intrinsic Mode Function (IMF) with serious mode confusion and divergent end points
This paper introduces the Endpoint Processing (EP)-CEEMDAN-Improved Normalized Hilbert Transform (INHT) algorithm, which can simultaneously suppress the endpoint effect and modal confusion existing in EMD and improve the accuracy of Introduction blasting network delay recognition
EP-CEEMDAN-INHT is completed in three steps, The first step is to perform endpoint processing on the blasting seismic wave monitoring signals obtained from actual construction; The second step performs CEEMDAN on the signal of the "first step" ;The third step is to obtain the normalized

Summary

Introduction

The Empirical Mode Decomposition (EMD) of blasting seismic wave monitoring signal with noise can get IMFs with serious mode confusion and divergent end points. According to the identification result, the signal separation technology is used to obtain the optimal millisecond time interval of damping effect, so as to realize the delay optimization of blasting network.

Results

Conclusion