EconPapers    
Economics at your fingertips  
 

Experimental investigation on synergetic prediction of rockburst using the dominant-frequency entropy of acoustic emission

Chunlai Wang (), Cong Cao, Yubo Liu, Changfeng Li, Guangyong Li and Hui Lu
Additional contact information
Chunlai Wang: China University of Mining and Technology Beijing
Cong Cao: China University of Mining and Technology Beijing
Yubo Liu: China University of Mining and Technology Beijing
Changfeng Li: China University of Mining and Technology Beijing
Guangyong Li: China University of Mining and Technology Beijing
Hui Lu: Colorado School of Mines

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2021, vol. 108, issue 3, No 39, 3253-3270

Abstract: Abstract Rockburst is one of the critical safety concerns for underground engineering. The acoustic emission (AE) activity that occurs during rockburst is one of its notable characteristics. Because rockburst is induced by complexity factors, the prediction of rockburst has been investigated widely, yet few methods have been applied in depth. In this study, dynamic process of rockburst was investigated, and the information entropy of the dominant frequency was determined to be an indicator of rockburst. A series of true triaxial tests were conducted, and AE signals associated with the evolution of rock failure were collected. The AE data were treated with the fast Fourier transform to acquire the dominant frequency. Then, the information entropy of the dominant frequency was obtained, and a significant drop of the entropy value right after it reached the peak was observed. Finally, based on the comprehensive analysis of AE energy, dominant-frequency entropy, and other precursory information of rock failure, a multiparameter synergetic method of predicting rockburst is proposed. This research has important theoretical significance for improving the prediction accuracy of rockburst.

Keywords: Rockburst; Dominant frequency; Entropy; Synergetic prediction; Acoustic emission (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11069-021-04822-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:108:y:2021:i:3:d:10.1007_s11069-021-04822-6

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-021-04822-6

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:nathaz:v:108:y:2021:i:3:d:10.1007_s11069-021-04822-6