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Feasibility Study on Continuous Mining Method in Deep Position of Jinchuan Nickel Mine, China 被引量:1
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作者 Meifeng Cai, Lan Qiao, Changhong Li, Shuanghong Wang (Civil and Environmental Engineering School, University of Science and Technology Beijing, Beijing 100083, China) 《Journal of University of Science and Technology Beijing》 CSCD 2001年第2期81-85,共5页
Jinchuan nickel mine is the largest nickel mine in China. Cut-and-fill mining method with high density cementing materials is used in the mine. The original mining design divided the mining operation into two steps. T... Jinchuan nickel mine is the largest nickel mine in China. Cut-and-fill mining method with high density cementing materials is used in the mine. The original mining design divided the mining operation into two steps. The first step stopped the mining rooms and the second step stopped the pillars. Because the two-step method made big trouble for finally mining pillars and strongly limited the mining speed and production, it was successfully changed to a continuous cut-and-fill method without pillars. However, the mining operation in the mine has been down to 800 m and the mining condition is getting worse and more complicated. Through systematical field investigations and 3-D FEM analysis, it is proved that the mining method without pillars is feasible for mining deeper orebodies in Jinchuan nickel mine. 展开更多
关键词 Jinchuan nickel mine deep position continuous mining feasibility study
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Failure mechanism and coupled static-dynamic loading theory in deep hard rock mining: A review 被引量:70
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作者 Xibing Li Fengqiang Gong +5 位作者 Ming Tao Longjun Dong Kun Du Chunde Ma Zilong Zhou Tubing Yin 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2017年第4期767-782,共16页
Rock failure phenomena,such as rockburst,slabbing(or spalling) and zonal disintegration,related to deep underground excavation of hard rocks are frequently reported and pose a great threat to deep mining.Currently,the... Rock failure phenomena,such as rockburst,slabbing(or spalling) and zonal disintegration,related to deep underground excavation of hard rocks are frequently reported and pose a great threat to deep mining.Currently,the explanation for these failure phenomena using existing dynamic or static rock mechanics theory is not straightforward.In this study,new theory and testing method for deep underground rock mass under coupled static-dynamic loading are introduced.Two types of coupled loading modes,i.e.'critical static stress + slight disturbance' and 'elastic static stress + impact disturbance',are proposed,and associated test devices are developed.Rockburst phenomena of hard rocks under coupled static-dynamic loading are successfully reproduced in the laboratory,and the rockburst mechanism and related criteria are demonstrated.The results of true triaxial unloading compression tests on granite and red sandstone indicate that the unloading can induce slabbing when the confining pressure exceeds a certain threshold,and the slabbing failure strength is lower than the shear failure strength according to the conventional Mohr-Column criterion.Numerical results indicate that the rock unloading failure response under different in situ stresses and unloading rates can be characterized by an equivalent strain energy density.In addition,we present a new microseismic source location method without premeasuring the sound wave velocity in rock mass,which can efficiently and accurately locate the rock failure in hard rock mines.Also,a new idea for deep hard rock mining using a non-explosive continuous mining method is briefly introduced. 展开更多
关键词 Deep rock mechanics Coupled static-dynamic loading ROCKBURST Discontinuous rock failure Microseismic source location continuous mining
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Incorporating Domain Knowledge into Data Mining Process:An Ontology Based Framework 被引量:5
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作者 PAN Ding SHEN Jun-yi ZHOU Mu-xin 《Wuhan University Journal of Natural Sciences》 EI CAS 2006年第1期165-169,共5页
With the explosive growth of data available, there is an urgent need to develop continuous data mining which reduces manual interaction evidently. A novel model for data mining is proposed in evolving environment. Fir... With the explosive growth of data available, there is an urgent need to develop continuous data mining which reduces manual interaction evidently. A novel model for data mining is proposed in evolving environment. First, some valid mining task schedules are generated, and then au tonomous and local mining are executed periodically, finally, previous results are merged and refined. The framework based on the model creates a communication mechanism to in corporate domain knowledge into continuous process through ontology service. The local and merge mining are transparent to the end user and heterogeneous data ,source by ontology. Experiments suggest that the framework should be useful in guiding the continuous mining process. 展开更多
关键词 continuous data mining domain knowledge ONTOLOGY FRAMEWORK
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