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

Yuan, Huixin; Liu, Xiaole; Liu, Yan; Bian, Hanbing; Chen, Wen; Wang, Yixian

doi:10.1155/2018/9207476

Cited by 17 publications

(9 citation statements)

References 23 publications

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“…The higher the rock vibration frequency is, the faster the energy decay is. The frequency range of seismic waves excited by artificial earthquakes is generally between 2 and 50 Hz [32]. We can judge that the vibration excitation frequency of similar materials to the testing machine is in the range of 2-50 Hz.…”

Section: Analysis Of Testing Machine Parametersmentioning

confidence: 97%

Experimental Accuracy and Stability of Gas Outburst Experimental System

et al. 2021

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Gas outburst is an important issue in deep coal mining. At present, the gas-rock coupling change mechanism and intensity prediction of gas outburst are not clear. The research of gas outburst simulation experiment is particularly important. The State Key Laboratory of Gas Disaster Monitoring and Emergency Technology of China independently developed a large-scale coal and gas outburst physical simulation test system. However, the influence of the design parameters of the testing machine on the stability and accuracy of the simulation experiment is unclear. The article analyzes the energy conversion in the process of gas outburst through experimental simulation phenomena and results. The experimental simulation results show that the energy released by the CO2 gas in similar materials is the most important energy source. The cracks of similar materials increase the nominal volume of similar materials, and the deformation energy stored in similar materials slightly increases. The experimental simulation results are consistent with the actual situation on site. Combined with CAE simulation analysis, the displacement and pressure of the indenter of the experimental machine remained basically unchanged during the experiment, and the system did not produce resonance. Comprehensive analysis shows that the design of the test machine meets the simulation requirements.

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Section: Analysis Of Testing Machine Parametersmentioning

confidence: 97%

Experimental Accuracy and Stability of Gas Outburst Experimental System

et al. 2021

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“…For acoustic signal data, Fourier series of the periodic signal (x(t)) can be written as: 31 where n is number of signal data. a 0 , a n , and b n are Fourier coefficients, expressed as:…”

Section: F I G U R E 4 Acoustic Data In Time Domain From Acoustic Testmentioning

confidence: 99%

Hydration index and hydrated constitutive model of clay shale using acoustic frequency spectrum

Liu

Ding

Ranjith

et al. 2019

Energy Science & Engineering

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Clay shale is frequently encountered in drilling. With strong hydration capacity, when clay shale contacts with drilling fluid, rock structural and mechanical property will be affected, causing wellbore instability. Acoustic frequency spectrum is a significant parameter in geophysical logging. The influence of hydration on clay shale can be reflected in acoustic logging. Therefore, in order to identify hydration damage and have precise evaluation for hydration damage, a novel hydration damage index has been built on the basis of acoustic frequency spectrum. Meanwhile, considering the influence of hydration, hydrated constitutive model has been proposed using this new index. Results demonstrate that acoustic frequency spectrum has clear modification due to hydration damage. In the hydration evolutionary process, fracture initiation and propagation happen, decreasing acoustic amplitude and dominant frequency. The whole hydration evolutionary process exhibits S curve with clear three stages. In the initial stage, changing ranges of acoustic amplitude and frequency are small. In the middle stage, clear fracture propagation can be noticed and fracture network is formed, boosting the change of acoustic frequency spectrum. Finally, acoustic frequency spectrum becomes stable, meaning hydration damage has reached its limitation. Hydration damage degree is variable with different conditions, but the tendency still remains typical S curve. Stress‐strain curves simulated from hydrated constitutive model are in good agreement with results of uniaxial compressive test, indicating this model can be used to express shale mechanical property in hydration evolutionary process. Findings of this paper can offer theoretical reference for evaluating hydration damage and are advantageous for drilling operation in clay shale formation.

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“…Due to the abrupt and instantaneous nature of blasting, the blasting vibration signal appears as a typical nonlinear and nonstationary signal. To deal with this type of signal problem, a wide range of analysis methods, including the EMD (empirical mode decomposition) method [1], EEMD (ensemble empirical mode decomposition) method [2], CEEMD (complete ensemble empirical mode decomposition) method [3], CEEMDAN (complete ensemble empirical mode decomposition with adaptive noise) method [4], and VMD (variational mode decomposition) method [5], were developed.…”

Section: Introductionmentioning

confidence: 99%

The Removal Method of the Blasting Vibration Signal Trend Item and Noise

Wang

Bai²,

Zhao

et al. 2021

Shock and Vibration

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Aiming at the problem that the blasting vibration signal contains trend items and noise interference, a signal processing method based on the Fourier decomposition method (FDM) is introduced. Firstly, based on the FDM theory, the original blasting vibration signal is decomposed to obtain several modal components; then, the dominant component of the signal is filtered according to the dominant frequency of the modal component and its correlation with the original signal; finally, the dominant component is reconstructed to remove the trend item and noise at the same time; spectrum analysis is carried out to verify the effectiveness of the method. The results show that FDM can effectively disperse low-frequency trend items, high-frequency noise, and useful signal information while decomposing signals containing trend terms and noise; compared with the existing common methods, it can more effectively retain the original information, which provides a reference for the trend item and noise removal of similar blasting vibration signals.

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

Cited by 17 publications

References 23 publications

Experimental Accuracy and Stability of Gas Outburst Experimental System

Experimental Accuracy and Stability of Gas Outburst Experimental System

Hydration index and hydrated constitutive model of clay shale using acoustic frequency spectrum

The Removal Method of the Blasting Vibration Signal Trend Item and Noise

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