Stability Assessment of Underground Mined-Out Areas in a Gold Mine Based on Complex System Theory

被引:4
作者
Huang W.-S. [1 ]
Cai S.-J. [1 ,2 ]
Wu D. [3 ]
Huang G. [1 ,2 ]
Liu Y.-C. [1 ,2 ]
机构
[1] Department of Resource Engineering, School of Civil and Environmental Engineering, University of Science and Technology Beijing, Beijing
[2] Key Laboratory of High Efficiency Exploitation and Safety of Metal Mines, Ministry of Education, Beijing
[3] China University of Mining and Technology, Beijing
基金
中国国家自然科学基金;
关键词
Catastrophe theory model; Complex system; Fuzzy AHP; Stability assessment; Underground mined-out areas;
D O I
10.1007/s10706-015-9901-9
中图分类号
学科分类号
摘要
For deep mining of a gold mine in the Altay city, Xinjinag autonomy region, China, it is necessary to evaluate the stability of mined-out areas of upper levels and then to treat those mined-out areas. Based on the features of underground mining, in this paper, a complex system model of stability assessment of underground mined-out area has been set up, which is constituted by 3 sub-systems of geological factors, mining engineering factors and management factors, and this system could be studied and analyzed by using the fuzzy analytic hierarchy process method and the catastrophe theory modeling method. By using those two methods and utilizing measured data of the gold mine, some useful conclusions of stability assessment of mined-out areas have been given out, which would be helpful for the mined-out areas treatment and also for the safely deep mining of the mine. © 2015, Springer International Publishing Switzerland.
引用
收藏
页码:1295 / 1305
页数:10
相关论文
共 15 条
[1]  
Cheng A.B., Wang X.M., Liu H.Q., Application of gray hierarchy analysis in the stability of evaluation of underground mined-out areas, Metal Mine, 2, pp. 17-21, (2011)
[2]  
Cheng A.B., Gu D.S., Liu H.Q., Weights analysis of factors affecting the stability of mined-out areas based on analytic hierarchy process and rough sets theory, J Saf Sci Technol, 7, 9, pp. 50-55, (2011)
[3]  
Deng H.W., Jia M., Fuzzy comprehensive evaluation of gob area stability based on uncertain analytic hierarchy process, Chin Saf Sci J, 22, 3, pp. 24-29, (2012)
[4]  
Gilmore R., Catastrophe theory for science and engineers, (1981)
[5]  
Hopfield J.J., Artificial neural network, IEEE Circuit Devices Mag, 9, pp. 3-10, (1986)
[6]  
Li J.P., Chen H.M., Theory and practice of safety assessment of mined-out areas, Rev Sci Technol, 26, 9, pp. 50-55, (2008)
[7]  
Ling F.H., Catastrophe theory and application, (1997)
[8]  
Ma H.J., Huang D.Y., Based on catastrophe theory of gob mutation risk evaluation, Sci Technol Eng, 10, 22, pp. 5369-5373, (2010)
[9]  
Miao S.J., Lai X.P., Zhao X.G., Et al., Simulation experiment of AE-based localization damage and deformation characteristic on covering rock in mined-out area, Int J Miner Metall Mater, 16, 3, pp. 255-260, (2009)
[10]  
Singh V.K., Singh D., Singh T.N., Prediction of strength properties of some schistose rocks from petrographic properties using artificial neural networks, Int J Rock Mech Min Sic, 38, pp. 260-280, (2001)