Impact of blasting parameters on vibration signal spectrum: Determination and statistical evidence

Wang, Ze-wei; Li, Xibing; Peng, Kang; Xie, Jiangfeng

doi:10.1016/j.tust.2015.02.004

Cited by 22 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…is means that most of the frequencies of the blasting vibration signals are less than 200 Hz. e published studies of blasting vibration signals are mainly performed through either Fourier transform or wavelet transform, with mere consideration of the influence of frequency or amplitude while without analyzing the combining effect of frequency, energy, and vibration duration [26]. However, this defect can be compensated by the introduction of three-dimensional Hilbert spectrum.…”

Section: Analysis Ofmentioning

confidence: 99%

Analysis of Acoustic Wave Frequency Spectrum Characters of Rock Mass under Blasting Damage Based on the HHT Method

Yuan

Liu

et al. 2018

Advances in Civil Engineering

View full text Add to dashboard Cite

The limitation associated with Fourier transform and wavelet analysis that they often fail to produce satisfactory resolution simultaneously in time and frequency when dealing with nonlinear and nonstationary signals is frequently encountered. Therefore, this paper aims at using the HHT (Hilbert–Huang transform) method, which is built on the basis of the EMD- (empirical mode decomposition-) based wavelet threshold denoising technique and the Hilbert transform, to analyze the blasting vibration signals in a south China lead-zinc mine. The analysis is conducted in terms of three-dimensional Hilbert spectrum, marginal spectrum, and instantaneous energy spectrum. The results indicate that the frequencies of the blasting vibration signals lie mainly within 0∼200 Hz, which consists of more than 90% of the total signal energy. At the onset of the blasting, the vibration frequency tends to be low, with the frequency that is less than 50 Hz being dominant. By using instantaneous energy spectrum, which can reveal the condition of energy release for detonator explosion, the initiation moments of detonators with 7 time-lag levels are accurately identified. This accurate identification demonstrates the superiority of the HHT method in coping with nonlinear and nonstationary signals. Additionally, the HHT method that is characterized by adaptivity, completeness, strong reconfigurability, and high accuracy provides an opportunity for reflecting signals’ change features with regard to time domain, frequency domain, and energy irrespective of the limitation of the Heisenberg uncertainty principle.

show abstract

Section: Analysis Ofmentioning

confidence: 99%

Analysis of Acoustic Wave Frequency Spectrum Characters of Rock Mass under Blasting Damage Based on the HHT Method

Yuan

Liu

et al. 2018

Advances in Civil Engineering

View full text Add to dashboard Cite

show abstract

“…However, in the actual construction site, the collected signal waveform will deviate from the baseline and the zero-drift phenomenon due to the complex environment of the construction site and the influence of signal sampling instruments 1 . Therefore, the signal has a trend term, which makes a significant error in the blasting vibration signal analysis, making the obtained results inconsistent with the actual situation 2 – 4 .…”

Section: Introductionmentioning

confidence: 99%

Denoising of blasting vibration signals based on CEEMDAN-ICA algorithm

Wenjun,

Yingjie

2023

Sci Rep

View full text Add to dashboard Cite

Monitoring of blasting vibration signals can make the collected blasting signals noisy due to various factors such as on-site actual construction conditions, equipment, and instruments. Thus, the acquired signals should be preprocessed before analyzing the blasting vibration signals. The current study proposes a blasting vibration denoising method based on CEEMDAN-ICA to alleviate the noise component in the blasting signals effectively. The collected signal is first decomposed through the CEMMDAN algorithm to extract the IMF components of different frequency bands. Next, the collected signal is estimated using the ICA algorithm to attain corresponding ICA components. Finally, the arrangement entropy of the ICA components is calculated for signal reconstruction to attain a small noise blasting vibration signal. Simulations are performed to evaluate the feasibility of the presented algorithm and compare its efficiency with the traditional algorithms. The results demonstrate that this algorithm has specific advantages over other algorithms, which can more accurately denoise the original signal and retain the effective signals, providing a new denoising method for subsequent signal analysis.

show abstract

“…China is in the stage of rapid economic development and continuous infrastructure construction, blasting engineering plays an increasingly prominent role in highway excavation, hydropower construction, underground space development and other fields [1,2]; however, a series of negative effects caused by blasting have attracted widespread attention. The stress wave and explosion gases will not only reduce the joint strength and aggrandize the permeability of rock, but also cause building crack, landslide, tunnel collapse and many other hazards [3,4]; therefore, it is necessary to control blasting vibration effect for ensuring the blasting damage of rock mass and building is within safety criterion range [5,6].…”

Section: Introductionmentioning

confidence: 99%

Research on blasting vibration effect and time-frequency characteristics of vibration signals in a road corridor at xianning nuclear power station

Liu¹,

Zeng²,

Li³

et al. 2021

J. vibroeng.

View full text Add to dashboard Cite

Drill and blast is a major method for foundation excavation in nuclear power plant engineering. For transporting heavy components to engineering construction, the blast-induced vibration of foundation excavation in a road corridor may has a great influence on new pouring mass concrete and surrounding bedrock in Xianning Nuclear Power Station, which will affect the safety of the engineering construction. So it is necessary to monitor the process of blasting excavation and put forward effective control measures on blasting vibration effect, in which the peak particle velocity (PPV) attenuation law are investigated through regression analysis of practical field data by Duvall empirical formula and the time-frequency characteristics was analyzed by wavelet transform and wavelet package decomposition. By analyzing the velocity amplitude and power spectrum density amplitude of wavelet components, it shows the blast energy of original vibration signal is mainly within the frequency below 250 Hz and has three sub-band which varies from 10 Hz to 30 Hz, from 40 Hz to70 Hz and from 75 Hz to 125 Hz, respectively. Wavelet packet analysis indicates the energy of the signal in 0-125 Hz accounts for 94.25 % of the total signal. At the same time, for the sake of ensuring the safety of road corridor, Chinese admissibility standards (GB6722-2014) of blasting-induced vibration and the constants obtained from the regression were used to establish the maximum explosive charge per delay for an acceptable ground vibration level that would not cause damage for new pouring mass concrete and bedrock in road corridor. The safety criteria of particle vibration velocity for new pouring mass concrete and bedrock in road corridor could be both set as 5 cm/s, which show the remarkable effect on blasting damage control of the new pouring mass concrete and surrounding bedrock, the results demonstrate that controlling maximum explosive charge per delay methodology can be commendably applied to road corridor to control blasting-induced vibration effects.

show abstract

Impact of blasting parameters on vibration signal spectrum: Determination and statistical evidence

Cited by 22 publications

References 25 publications

Analysis of Acoustic Wave Frequency Spectrum Characters of Rock Mass under Blasting Damage Based on the HHT Method

Analysis of Acoustic Wave Frequency Spectrum Characters of Rock Mass under Blasting Damage Based on the HHT Method

Denoising of blasting vibration signals based on CEEMDAN-ICA algorithm

Research on blasting vibration effect and time-frequency characteristics of vibration signals in a road corridor at xianning nuclear power station

Contact Info

Product

Resources

About