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  • 标题:A novel acoustic emission parameter for predicting rock failure during Brazilian test based on cepstrum analysis
  • 本地全文:下载
  • 作者:Honglei Wang ; Zhenlei Li ; Xueqiu He
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2020
  • 卷号:192
  • 页码:1-7
  • DOI:10.1051/e3sconf/202019201004
  • 出版社:EDP Sciences
  • 摘要: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.
  • 关键词:acoustic emission (AE); linear cepstrum coefficient (LCC); dynamic disaster; coal and rock stability
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