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中南大学学报(英文版)

Journal of Central South University

Vol. 27    No. 10    October 2020

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Experimental investigation on predicting precursory changes in entropy for dominant frequency of rockburst
WANG Chun-lai(王春来)1, CHEN Zeng(陈增)1, LIAO Ze-feng(廖泽锋)1, HOU Xiao-lin(侯晓琳)1,LI Hai-tao(李海涛)2, WANG Ai-wen(王爱文)3, LI Chang-feng(李长峰)1, QIAN Peng-fei(钱鹏飞)1,LI Guang-yong(李广永)1, LU Hui(卢辉)4

1. School of Energy and Mining Engineering, China University of Mining and Technology Beijing,Beijing 100083, China;
2. Safety Technology Branch, CCTEG China Coal Research Institute, Beijing 100013, China;
3. School of Mechanics and Engineering, Liaoning Technology University, Fuxin 123000, China;
4. Center for Underground Construction and Tunnelling, Colorado School of Mines, Golden,
Colorado 80401, USA

Abstract:Rockburst is a dynamic phenomenon accompanied by acoustic emission (AE) activities. It is difficult to predict rockburst accurately. Based on the fast Fourier transform (FFT) method and the information entropy theory, the evolution model of dominant frequency entropy was established. The AE energy, frequency and stress were synthetically considered to predict rockburst. Under the triaxial and the single-face unloading tests, the relationship between AE energy and the development of internal cracks was analyzed. Using the FFT method, the distribution characteristics of AE dominant frequency values were obtained. Based on the information entropy theory, the dominant frequencies evolved patterns were ascertained. It was observed that the evolution models of the dominant frequency entropy were nearly the same and shared a characteristic “undulation-decrease-rise-sharp decrease” pattern. Results show that AE energy will be released suddenly before rockburst. The density of intermediate frequency increased prior to rockburst. The dominant frequency entropy reached a relative maximum value before rockburst, and then decreased sharply. These features could be used as a precursory information for predicting rockburst. The proposed relative maximum value could be as a key point to predict rockburst. This is a meaningful attempt on predicting rockburst.

 

Key words: rockburst; precursory information; acoustic emission; information entropy; dominant frequency; evolution model

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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