Abstract
The traditional empirical mode decomposition method cannot accurately extract the time-frequency characteristic parameters contained in the noisy seismic monitoring signals. In this paper, the time-frequency analysis model of CEEMD-MPE-HT is established by introducing the multiscale permutation entropy (MPE), combining with the optimized empirical mode decomposition (CEEMD) and Hilbert transform (HT). The accuracy of the model is verified by the simulation signal mixed with noise. Based on the project of Loushan two-to-four in situ expansion tunnel, a CEEMD-MPE-HT model is used to extract and analyze the time-frequency characteristic parameters of blasting seismic signals. The results show that the energy of the seismic wave signal is mainly concentrated in the frequency band above 100 Hz, while the natural vibration frequency of the adjacent existing tunnel is far less than this frequency band, and the excavation blasting of the tunnel will not cause the resonance of the adjacent existing tunnel.
Highlights
As is known to all, the physical quantities such as peak velocity of particle vibration (PPV), acceleration (a), and displacement (s) are usually used to measure and determine the degree of influence of structures under blasting vibration [1]
In view of this problem, Huang et al [10] proposed empirical mode decomposition (EMD) in 1998, which fundamentally broke through the limitation of Fourier transform theory and established a signal analysis method based on instantaneous frequency for the first time [11, 12]. e process of decomposition retained the characteristics of the data itself
To extract the time-frequency information and energy characteristic distribution law contained in blasting signals more truly, the combining with the optimized empirical mode decomposition (CEEMD)-multiscale permutation entropy (MPE)-Hilbert transform (HT) timefrequency analysis model is proposed
Summary
As is known to all, the physical quantities such as peak velocity of particle vibration (PPV), acceleration (a), and displacement (s) are usually used to measure and determine the degree of influence of structures under blasting vibration [1]. E theoretical basis of the abovementioned methods is Fourier transform, which inevitably leads to false frequencies and redundant signal components [8, 9] In view of this problem, Huang et al [10] proposed empirical mode decomposition (EMD) in 1998, which fundamentally broke through the limitation of Fourier transform theory and established a signal analysis method based on instantaneous frequency for the first time [11, 12]. According to the time-frequency characteristic parameters obtained by the proposed model algorithm, the influence of expanding blasting on one side of a super-large and small clear distance separated tunnel on the other side is discussed. E time-frequency algorithm provides a useful idea for solving the identification of blasting seismic wave signals, the analysis of time-frequency characteristic parameter law, and the control of blasting vibration hazards in engineering practices According to the time-frequency characteristic parameters obtained by the proposed model algorithm, the influence of expanding blasting on one side of a super-large and small clear distance separated tunnel on the other side is discussed. e time-frequency algorithm provides a useful idea for solving the identification of blasting seismic wave signals, the analysis of time-frequency characteristic parameter law, and the control of blasting vibration hazards in engineering practices
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