Monitoring, Warning, and Control of Rockburst in Deep Metal Mines
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...
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doaj-ad1abedacdf2414594a7f7c61cccb3332020-11-24T22:31:05ZengElsevierEngineering2095-80992017-08-013453854510.1016/J.ENG.2017.04.013Monitoring, Warning, and Control of Rockburst in Deep Metal MinesXia-Ting Feng0Jianpo Liu1Bingrui Chen2Yaxun Xiao3Guangliang Feng4Fengpeng Zhang5Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang 110819, ChinaState Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, ChinaState Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, ChinaState Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, ChinaState Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, ChinaState Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, ChinaThis 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.http://www.sciencedirect.com/science/article/pii/S2095809917306148Deep metal miningRockburstMonitoringWarningMitigation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xia-Ting Feng Jianpo Liu Bingrui Chen Yaxun Xiao Guangliang Feng Fengpeng Zhang |
spellingShingle |
Xia-Ting Feng Jianpo Liu Bingrui Chen Yaxun Xiao Guangliang Feng Fengpeng Zhang Monitoring, Warning, and Control of Rockburst in Deep Metal Mines Engineering Deep metal mining Rockburst Monitoring Warning Mitigation |
author_facet |
Xia-Ting Feng Jianpo Liu Bingrui Chen Yaxun Xiao Guangliang Feng Fengpeng Zhang |
author_sort |
Xia-Ting Feng |
title |
Monitoring, Warning, and Control of Rockburst in Deep Metal Mines |
title_short |
Monitoring, Warning, and Control of Rockburst in Deep Metal Mines |
title_full |
Monitoring, Warning, and Control of Rockburst in Deep Metal Mines |
title_fullStr |
Monitoring, Warning, and Control of Rockburst in Deep Metal Mines |
title_full_unstemmed |
Monitoring, Warning, and Control of Rockburst in Deep Metal Mines |
title_sort |
monitoring, warning, and control of rockburst in deep metal mines |
publisher |
Elsevier |
series |
Engineering |
issn |
2095-8099 |
publishDate |
2017-08-01 |
description |
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. |
topic |
Deep metal mining Rockburst Monitoring Warning Mitigation |
url |
http://www.sciencedirect.com/science/article/pii/S2095809917306148 |
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