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| Failure precursor of granite rockburst based on acoustic emission signal characteristics |
| ZHAO Fei1，2，MENG Shizhuo1，LIU Dongqiao2，HUANG Zhiquan3，YUAN Guangxiang1，HU Chenyang1，WANG Haiyue1，WANG Hongjian1，4 |
(1. College of Geosciences and Engineering，North China University of Water Resources and Electric Power，Zhengzhou，Henan 450046，China；2. State Key Laboratory for Geomechanics and Deep Underground Engineering，China University of Mining and Technology(Beijing)，Beijing 100083，China；3. School of Civil Engineering，Luoyang Institute of Science and Technology，
Luoyang，Henan 471023，China；4. State Key Laboratory of Intelligent Coal Mining and Strata Control，Beijing 100013，China) |
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Abstract To explore the precursor of rock instability，rockburst tests were conducted on granite using acoustic emission(AE) monitoring system. The failure mode and strength characteristics of granite rockburst were obtained. Based on acoustic emission parameters and multi fractal dimension calculation，the temporal fractal characteristics and crack evolution characteristics of granite during rockburst process were quantitatively analyzed. The results show that granite experiences violent blasting destruction under true triaxial loading and unloading conditions. The rupture strength is 0.76–1.04 times of its uniaxial compressive strength. Before the rockburst，the AE ringing counts have an intensive and explosive growth while the AE b-value shows a sudden continuous decline；Based on AE cluster analysis of RA-AF distribution division，it is found that the proportion of shear type cracks increases at first and then becomes stable or has a little decrease until finally increases significantly. The multifractal spectral width of AE exhibits a sudden decrease at the moment of rockburst occurrence. Hence，the second sudden increase in the proportion of shear type cracks and the sudden descent turning point of can be served as precursors of rock instability. Compared the warning information of rockburst determined by AE ringing count，b-value，RA-AF distribution and multifractal dimension，the average precursor response coefficients are 0.72%，2.18%，5.40% and 3.97%，respectively. Since the evolution of internal cracks and time sequence property of damage in rock are taken into account，the response time for identifying precursor based on the proportion of shear cracks and multifractal dimension is earlier. They can more finely characterize the complexity of AE signals and reveal the mechanism of rock fracture evolution. The research results can provide reference for revealing the mechanism of rockburst occurrence and establishing disaster warning methods.
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2024, Vol. 43 
