3D Co-Design of Shaft Position in Multi-layer Gently Inclined Thin Ore Group
Received date: 2020-05-28
Revised date: 2020-09-03
Online published: 2021-03-22
With the rapid development of digital mine,3DMine software has been widely used in mine design institutes.However,for multi-layer gently inclined thin ore group,the traditional two-dimensional underground mining development design mode has some problems,such as low design efficiency,heavy workload and difficult to determine the optimal reference location of development shaft.Under the guidance of the concept of synergetic mining,the 3D synergetic design of shaft location was carried out to accurately plan the spatial layout of the development shaft,improve the efficiency of mining design and ensure the effectiveness of the design scheme.Taking Tongkeng zinc polymetallic deposit in Guangxi Huaxi Group as the engineering background,and referring to the traditional two-dimensional transport work calculation model,considering the influence of ore volume and different burial depth on transport work,a three-dimensional transport work calculation model was established based on straight line distance,and then the vertical shaft development arrangement was optimized and the competition problem of transportation work was dealt with cooperatively.According to the determination method of rock movement parameters recommended by Mining Survey Research Institute in Soviet Union,in the Tongkeng zinc polymetallic mine case,the rock is classified into layered rock mass and rock movement characteristics.Combined with the occurrence form,engineering geological condition,hydro-geological condition,surface topography,geological structure,mining method and rock mass mechanical parameters of the orebody,the rock movement angle of the upper,lower and end of the orebody is determined to be 75% with reference to the actual data of the surface rock displacement of similar mines.With the aid of 3DMine software,the scope of rock movement was delineated,and combined with the proposed three-dimensional transport work calculation model,the preliminary selection scheme of shaft development was given.The set pair analysis method was used to optimize the development preliminary selection scheme with four evaluation indexes of safety,resource utilization rate,transportation work and economic investment.The results show that,based on the three-dimensional transportation work calculation model,the optimal scheme is “newly excavated mixed well and using the No.3 and No.4 blind inclined well development scheme”. Results of this study indicate that,based on the three-dimensional transport work calculation model under the straight-line distance,the transportation competition relationship among different buried depths of the seam is coordinated,which makes up for the shortcomings of the transport work calculation model in the development design,and can accurately plan the optimal spatial reference layout location of development shaft from the three-dimensional perspective,thus providing useful reference for development design.
Qingfa CHEN , Tiqun XIAO , Yuan GAO . 3D Co-Design of Shaft Position in Multi-layer Gently Inclined Thin Ore Group[J]. Gold Science and Technology, 2021 , 29(1) : 90 -98 . DOI: 10.11872/j.issn.1005-2518.2021.01.094
null | Cai Kuang,1990.The graph theory solution of the minimum transport work of mine[J].Nonferrous Metals(Mining Section),42(1):28-32. |
null | Chen Huan,1991.Determination of minimum comprehensive transportation work well location[J].Chemical Mining Technology,20(1):12-16. |
null | Chen Qingfa,Su Jiahong,2013.Synergetic mining and its technology system[J].Journal of Central South University(Science and Technology),44(2):733-736. |
null | Chen Qingfa,Zhou Keping,Gu Desheng,2011.Collaborative mining and collaborative utilization of goaf[J].China Mining Industry,20(12):77-80,102. |
null | Fu Yuhua,2010.Study on Stability of Rock Mass and Rule of Strata Movement for Transition from Open-pit to Underground Mining[D].Changsha:Central South University. |
null | Guo Yanhui,2015.Study on the Regularity,Mechanism and Deformation Forecast of Rockmass Movement Induced by Caving Mining Steep Deposit in High Stress Area[D].Kunming:Kunming University of Science and Technology. |
null | Nie Xingxin,Chen Yongfeng,Lu Caiwu,2007.Application of genetic algorithm in optimizing open-pit development system[J].Metal Mine,42(2):19-22. |
null | Rafiei R H,Martin C D,2018.Modeling the progressive failure of hard rock pillars[J].Tunnelling and Underground Space Technology,74:71-81. |
null | Singh R,Kumar A,Singh A K,al et,2016.Rib/snook design in mechanised depillaring of rectangular/square pillars[J].International Journal of Rock Mechanics & Mining Sciences,84:119-129. |
null | Wu Lixin,2008.Progress of digital mine in China[J].Geomatics World,6(5):6-13. |
null | Wu Lixin,Wang Yunjia,Ding Enjie,al et,2012.Thirdly study on digital mine:Serve for mine safety and intelligent mine with support from IoT[J]. Journal of China Coal Society,37(3):357-365. |
null | Wu Lixin,Zhu Wangxi,Zhang Ruixin,2004. Digital mine and the future development of mines in China[J].Science & Technology Review,25(7):29-31,28. |
null | Wang Ping,2015.Study of Subsidence Angle and Its Area Range of Xiaoguanzhuang Iron Mine[D].Shenyang:Northeastern University. |
null | Xie Shijun,1986.Underground Mining of Metal Deposits[M].Beijing:Metallurgy Industry Press. |
null | Xinge U K, La’ao D G,Song Yanqi,1995.A case study of evaluating the stability of safety pillar in shaft by numerical simulation [J]. Foreign Metal Mining Magazine,33(7):3-10. |
null | Yan Dongmei,2004.Study on Location of Urban Logistics Center[D].Tianjin:Tianjin University. |
null | Yuan Yi,2008.Study on the Determination Method of Rock Movement Angle and Range in Underground Metal Mines[D].Changsha:Central South University. |
null | Zhang Wenju,2017.Study on the Safety Depth of Cut and Fill Mining and the Demarcation of Security Mine[D].Wuhan:Wuhan University of Technology. |
null | Zhang Xiaoyi,2013.The Study of the Rule of Underground Pressure Activity and Optimization of Stoping Sequence in the Deep Mining of Jinshandian Iron Mine[D]. Wuhan:Wuhan University of Science and Technology. |
null | Zhao Guoyan,2010.Research on Hidden Cavity Detection and Theories of Stability Prediction in Metal Mine[D].Changsha:Central SouthUniversity. |
null | Zhao Keqin,1994.Comprehensive evaluation and decision of scheme based on set pair analysis[J].Police Research and Exploration,10(2):14-15. |
null | Zhou Hua,2005.Application of Ant Colony Algorithm in Structural Optimization of Development System [D].Xi’an:Xi’an University of Architecture and Technology. |
null | Zhu Nian,2011.The Research and Application of Scheme Selection of Mine Exploit System Based on ES and AHP[D].Wuhan:Wuhan University of Technology. |
null | 蔡匡,1990.矿井最小运输功的图论解算[J].有色金属(矿山部分),42(1):28-32. |
null | 陈寰,1991.最小综合运输功井位的确定[J].化工矿山技术,20(1):12-16. |
null | 陈庆发,苏家红,2013.协同开采及其技术体系[J].中南大学学报(自然科学版),44(2):732-737. |
null | 陈庆发,周科平,古德生,2011.协同开采与采空区协同利用[J].中国矿业,20(12):77-80,102. |
null | 付玉华,2010.露天转地下开采岩体稳定性及岩层移动规律研究[D].长沙:中南大学. |
null | 郭延辉,2015.高应力区陡倾矿体崩落开采岩移规律、变形机理与预测研究[D].昆明:昆明理工大学. |
null | 解世俊,1986.金属矿床地下开采[M].北京:冶金工业出版社. |
null | 聂兴信,陈永锋,卢才武,2007.遗传算法在露天矿开拓系统优化中的应用[J].金属矿山,42(2):19-22. |
null | 吴立新,2008.中国数字矿山进展[J]. 地理信息世界,6(5):6-13. |
null | 吴立新,汪云甲,丁恩杰,等,2012.三论数字矿山——借力物联网保障矿山安全与智能采矿[J].煤炭学报,37(3):357-365. |
null | 吴立新,朱旺喜,张瑞新,2004.数字矿山与我国矿山未来发展[J].科技导报,25(7):29-31,28. |
null | 王平,2015.小官庄铁矿岩层移动角与地表移动范围研究[D].沈阳:东北大学. |
null | 辛格U K,拉奥D G,宋彦琦,1995.用数值模拟法估量井筒保安矿柱稳定性的案例研究[J].国外金属矿山,33(7):3-10. |
null | 严冬梅,2004.城市物流中心选址问题研究[D].天津:天津大学. |
null | 袁义,2008.地下金属矿山岩层移动角与移动范围的确定方法研究[D].长沙:中南大学. |
null | 张文举,2017.充填开采安全深度与保安矿柱圈定研究[D]. 武汉:武汉理工大学. |
null | 张小义,2013.金山店铁矿深部开采地压活动规律研究及回采顺序优化[D].武汉:武汉科技大学. |
null | 赵国彦,2010.金属矿隐覆采空区探测及其稳定性预测理论研究[D].长沙:中南大学. |
null | 赵克勤,1994.基于集对分析同一度的方案综合评价决策[J].决策探索,10(2):14-15. |
null | 周华,2005.蚁群算法在开拓系统结构优化中的应用研究[D].西安:西安建筑科技大学. |
null | 朱念,2011.基于ES和AHP的矿山开拓方案选择的研究与应用[D].武汉:武汉理工大学. |
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