| In order to study the effect of blasting load under the new tunnel vibration response of the existing tunnel,the new railway across the Fuping Gushan tunnel engineering tunnel as the research object,analysis of blasting parameters and site conditions of the existing tunnel vibration monitoring,the signal denoising and particle swarm algorithm inverse the parameters of Blasting Loads simulation of blasting vibration,blasting excavation at the intersection above the new tunnel response.In order to eliminate the noise in the blasting signal,a noise reduction method based on ensemble empirical mode decomposition and wavelet threshold is introduced.First,the signal collection of empirical mode decomposition,and then select the mode function component of the denoising of wavelet threshold denoising processing,finally the overlay treated and untreated component component,the reconstructed signal is denoised signal.This method not only can effectively remove the noise,but also can keep the waveform of blasting to be true and complete.The EEMD-wavelet threshold method is used to denoise the vibration waveform.The vibration response of the existing tunnel is simulated by FLAC~3DD software.The MATLAB and FLAC~3DD software combined as the fitness function in rock under blasting vibration signal simulation and the actual monitoring denoising signal,using PSO algorithm to optimize the inversion of rock blasting parameters and vibration damping parameters,adaptive parameter simulation of blasting in the process of selection,to solve the parameters of the actual simulation difficult the problem of determining.The actual results show that the method of the combination of MATLAB-FLAC3D is feasible,not only can study both on tunnel blasting vibration on cross tunnel response,but also can significantly improve the results of numerical simulation of explosion effect of rock mass accuracy,prediction of tunnel vibration response. |
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