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Engineering    2017, Vol. 3 Issue (4) : 538 -545     DOI: 10.1016/J.ENG.2017.04.013
Research |
Monitoring, Warning, and Control of Rockburst in Deep Metal Mines
Xia-Ting Feng1,2(),Jianpo Liu1,Bingrui Chen2,Yaxun Xiao2,Guangliang Feng2,Fengpeng Zhang1
1. Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang 110819, China
2. State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China
Abstract
Abstract  

This paper reviews the recent achievements made by our team in the mitigation of rockburst risk. It includes the development of neural network modeling on rockburst risk assessment for deep gold mines in South Africa, an intelligent microseismicity monitoring system and sensors, an understanding of the rockburst evolution process using laboratory and in situ tests and monitoring, the establishment of a quantitative warning method for the location and intensities of different types of rockburst, and the development of measures for the dynamic control of rockburst. The mitigation of rockburst at the Hongtoushan copper mine is presented as an illustrative example.

Keywords Deep metal mining      Rockburst      Monitoring      Warning      Mitigation     
Corresponding Authors: Xia-Ting Feng   
Online First Date: 31 August 2017    Issue Date: 13 September 2017
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Xia-Ting Feng
Jianpo Liu
Bingrui Chen
Yaxun Xiao
Guangliang Feng
Fengpeng Zhang
Cite this article:   
Xia-Ting Feng,Jianpo Liu,Bingrui Chen, et al. Monitoring, Warning, and Control of Rockburst in Deep Metal Mines[J]. Engineering, 2017, 3(4): 538 -545 .
URL:  
http://engineering.org.cn/EN/10.1016/J.ENG.2017.04.013     OR     http://engineering.org.cn/EN/Y2017/V3/I4/538
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