Ultimate Metal Pit Optimization with Various Wall Slope

doi:10.12068/j.issn.1005-3026.2018.05.022

Abstract

Abstract: Based on the moving cone method， the ultimate pit of Nanfen open pit mine was optimized and the influences of hanging wall angle variation on the pit shape， ores and rocks were studied. According to the mining states in different periods， related technical and economical parameters were set to optimize initial pit. The ultimate pits were optimized by increasing the hanging wall slope with the step of 0.5°. The results show that the ranges of ultimate pit shrink gradually and the bottom sizes become larger or downward with wall slope steeping. The ore-rock volumes of ultimate pits obtained by various steeping wall slope may increase or reduce， and the cost may increase， but the total profits increase.

Key words: open pit mine, ultimate pit, optimization, wall slope

CLC Number:

TD216

XU Xiao-chuan， GU Xiao-wei， WANG Qing， ZHANG Wei-feng. Ultimate Metal Pit Optimization with Various Wall Slope[J]. Journal of Northeastern University Natural Science, 2018, 39(5): 716-721.

References

[1]曹兰柱，贾兰.露天矿深部境界陡帮开采最终帮坡角的确定［J］.辽宁工程技术大学学报(自然科学版)，2009，28(sup1):25-27.(Cao Lan-zhu，Jia Lan.Determine the final slope angle of deep realm steep working slope mining in PingZhuang West open pit mine［J］.Journal of Liaoning Technical University(Natural Science)，2009，28(sup1):25-27.)
[2]郑友毅，薛应东，曹兰柱.倾斜煤层深凹露天矿深部开采关键技术研究［J］.采矿与安全工程学报，2009，26(4):494-498.(Zheng You-yi，Xue Ying-dong，Cao Lan-zhu.Key technology about deep mining of surface mine with inclined coal seam［J］.Journal of Mining & Safety Engineering，2009，26(4):494-498.)
[3]Feng S J，Sun S G，Yi Y N.Study on optimization method of the slope angle design for open-pit mine［C］//2nd International Conference on Energy and Environmental Protection.Guilin，2013:656-660.
[4]Shishvan M S，Sattarvand J.Modeling of accurate variable slope angles in open-pit mine design using spline interpolation ［J］.Archives of Mining Sciences，2013，57(4):921-932.
[5]Contreras L F.An economic risk evaluation approach for pit slope optimization［J］.The Journal of the Southern African Institute of Mining and Metallurgy，2015，115(7):607-622.
[6]Peng C，Guo Q S，Zhang Z C，et al.Study on ultimate slope angle optimization and stability analysis of slopes in an open-pit mine［C］// 3rd ISRM Young Scholars’ Symposium on Rock Mechanics.Xi’an，2014:435-438.
[7]Akdag S，Basarir H，Karpuz C，et al.Stability analysis and optimized slope angle for the iron ore open-pit mine［C］// 24th International Mining Congress of Turkey.Antalya，2015:1-7.
[8]Lerchs H，Grossmann I F.Optimum design of open-pit mines［J］.Transactions on Canadian Institute of Mining，1965，68(1):17-24.
[9]Wright E A.The use of dynamic programming for open pit mine design:some practical implications［J］.Mining Science and Technology，1987，4(2):97-104.
[10]Wright E A.The use of dynamic programming for open pit mine design:some practical implications［J］.Mining Science & Technology，1987，4(2):97-104.(上接第692页)5结论1) 矿体与大理岩、片岩微量元素质量分数及变化趋势的一致性，反映3者成因有密切联系;岩浆岩体与矿化体表现出的相似性和局部差异性，表明印支期岩浆活动可能影响矿床形成，部分成矿物质源自岩浆岩体.2) 矿体、岩浆岩和赋矿围岩稀土配分模式基本一致，均为右倾轻稀土富集型，δEu均具弱的负异常，反映金成矿与地层和岩浆岩关系密切;矿石矿物的Sm/Nd值、δEu异常显示出花岗岩类部分特征及多期性.3) 稀土元素特征显示成矿热液为富Cl^-的还原性流体，反映了岩浆热液叠加成矿作用.4) 小佟家堡子金矿床成矿物质来源和成矿流体来源具有复杂性，吕梁期花岗岩、燕山期花岗岩与盖县组片岩和大石桥组大理岩均为矿体形成提供成矿物质，且深部成矿物质也参与成矿，矿床类型为岩浆热液叠加型金矿床.

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