| Issue |
E3S Web Conf.
Volume 192, 2020
VIII International Scientific Conference “Problems of Complex Development of Georesources” (PCDG 2020)
|
|
|---|---|---|
| Article Number | 01004 | |
| Number of page(s) | 7 | |
| Section | Geotechnical and Geomechanical Problems of Development of Mineral Resources | |
| DOI | https://doi.org/10.1051/e3sconf/202019201004 | |
| Published online | 30 September 2020 | |
A novel acoustic emission parameter for predicting rock failure during Brazilian test based on cepstrum analysis
1
School of Civil and Resource Engineering, University of Science and Technology Beijing, 100083 Beijing, China
2
Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mine, University of Science and Technology Beijing, 100083 Beijing, China
* Corresponding author: lizhenlei@ustb.edu.cn
Acoustic emission (AE) is widely used in the monitoring of coal and rock stability and early warning of dynamic disasters in mines. In this work, the Brazilian split test was carried out on limestone samples along with collecting full waveform AE signal during the entire loading process. The linear cepstrum coefficient (LCC) was used as the characteristic parameter of AE to analyze the correlation between the LCC of AE and the load of the samples. The results show that the LCC is an effective AE characteristic parameter. The first to fourth parameters of the LCC calculated using 1 s AE waveform meet the linear change relationship with the load of the samples. The correlation coefficients are 0.969, 0.943, 0.925, 0.833, respectively. The LCC of AE proposed in this work can be used as a characteristic parameter for predicting the tensile failure of rocks, which is helpful to improve the application effect of AE in the monitoring of coal and rock dynamic disasters and the stability of high and steep slopes.
Key words: acoustic emission (AE) / linear cepstrum coefficient (LCC) / dynamic disaster / coal and rock stability
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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