TY - JOUR
T1 - Feature evolution of dominant frequency components in acoustic emissions of instantaneous strain-type granitic rockburst simulation tests
AU - He, Man Chao
AU - Zhao, Fei
AU - Zhang, Yu
AU - Du, Shuai
AU - Guan, Lei
N1 - Publisher Copyright:
©, 2015, Academia Sinica. All right reserved.
PY - 2015/1/10
Y1 - 2015/1/10
N2 - This paper presents the experimental study of instantaneous strain-type granitic rockbursts. It uses the nondestructive acoustic emission (AE) testing method to monitor the rock internal damage during the simulation test. Using real-time waveform signals, we can plot the evolution of stresses and voltage signals in full time-domain. Combining with the cumulative AE energy curve, we can determine five key points which are the first inflection point A (positioned at initial load), the two turning points B and C (located at obvious rise ledges), the dramatic increasing point D and the final peak point E. The five points can be extracted and processed with the Fast Fourier Transform (FFT) in Matlab commercial software. The results indicate that the dominant frequency component of the granitic rock sample is 106 kHz at the initial loading stage. As the load increases, the frequency changes from low value to high value, the band of frequency becomes wider and wider, and the shape of wave changes from unimodal to multimodal. These frequency changes indicate the complicated frequency components and various fracture modes. At the time of rockburst occurring, the band of frequency becomes narrower and the shape of wave changes back to unimodal. The dominant frequency decreases to 106 kHz and equals to the initial value, which indicates a large amount of energy is released.
AB - This paper presents the experimental study of instantaneous strain-type granitic rockbursts. It uses the nondestructive acoustic emission (AE) testing method to monitor the rock internal damage during the simulation test. Using real-time waveform signals, we can plot the evolution of stresses and voltage signals in full time-domain. Combining with the cumulative AE energy curve, we can determine five key points which are the first inflection point A (positioned at initial load), the two turning points B and C (located at obvious rise ledges), the dramatic increasing point D and the final peak point E. The five points can be extracted and processed with the Fast Fourier Transform (FFT) in Matlab commercial software. The results indicate that the dominant frequency component of the granitic rock sample is 106 kHz at the initial loading stage. As the load increases, the frequency changes from low value to high value, the band of frequency becomes wider and wider, and the shape of wave changes from unimodal to multimodal. These frequency changes indicate the complicated frequency components and various fracture modes. At the time of rockburst occurring, the band of frequency becomes narrower and the shape of wave changes back to unimodal. The dominant frequency decreases to 106 kHz and equals to the initial value, which indicates a large amount of energy is released.
KW - Acoustic emission
KW - Fast Fourier transform
KW - Instantaneous rockburst test
KW - Major frequency
KW - Signal feature
UR - http://www.scopus.com/inward/record.url?scp=84922597656&partnerID=8YFLogxK
U2 - 10.16285/j.rsm.2015.01.001
DO - 10.16285/j.rsm.2015.01.001
M3 - Article
AN - SCOPUS:84922597656
SN - 1000-7598
VL - 36
SP - 1-8 and 33
JO - Yantu Lixue/Rock and Soil Mechanics
JF - Yantu Lixue/Rock and Soil Mechanics
IS - 1
ER -