E3S Web of Conferences (Jan 2020)

A novel acoustic emission parameter for predicting rock failure during Brazilian test based on cepstrum analysis

  • Wang Honglei,
  • Li Zhenlei,
  • He Xueqiu,
  • Song Dazhao,
  • Guo Haifeng

DOI
https://doi.org/10.1051/e3sconf/202019201004
Journal volume & issue
Vol. 192
p. 01004

Abstract

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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.

Keywords