4.6 Article

Experimental investigation on predicting precursory changes in entropy for dominant frequency of rockburst

期刊

JOURNAL OF CENTRAL SOUTH UNIVERSITY
卷 27, 期 10, 页码 2834-2848

出版社

JOURNAL OF CENTRAL SOUTH UNIV
DOI: 10.1007/s11771-020-4506-8

关键词

rockburst; precursory information; acoustic emission; information entropy; dominant frequency; evolution model

资金

  1. National Key Research and Development Program of China [2017YFC0804201]
  2. National Natural Science Foundation of China [51574246]
  3. Fundamental Research Funds for the Central Universities, China [2011QZ01]
  4. National Training Program of Innovation and Entrepreneurship for Undergraduates, China [C201911362]

向作者/读者索取更多资源

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.

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