中国钼业
中國鉬業
중국목업
China Molybdenum Industry
2015年
5期
16-20
,共5页
宋明军%李海港%王李管%冯兴隆
宋明軍%李海港%王李管%馮興隆
송명군%리해항%왕리관%풍흥륭
可崩性%Monte-Carlo模拟%劳布施尔法%自然崩落法
可崩性%Monte-Carlo模擬%勞佈施爾法%自然崩落法
가붕성%Monte-Carlo모의%로포시이법%자연붕락법
cavability%Monte-Carlo simulation%Laubscher's caving chart%block caving method
矿岩可崩性是判别矿山能否采用自然崩落法采矿的重要参数,通过对Monte-Carlo模拟技术原理的分析,研究节理面空间块度分布的特征,经合理选取优势节理组,对影响可崩性评价的参数进行定量分析,建立矿岩块度三维模型,利用Makeblock软件系统对矿岩进行可崩性评价。利用上述方法对金川Ⅲ矿区进行可崩性评价,评价结果表明崩落块度体积在0.1~1.4 m3之间,其中体积小于0.4 m3的块体占85.5%,矿体采用自然崩落法进行开采的效果很好。同时,为证明Monte-Carlo模拟法的可靠性,采用劳布施尔法对金川Ⅲ矿区的矿岩可崩性进行分析,结果表明,运用Monte-Carlo模拟法对矿岩可崩性评价是可靠的。
礦巖可崩性是判彆礦山能否採用自然崩落法採礦的重要參數,通過對Monte-Carlo模擬技術原理的分析,研究節理麵空間塊度分佈的特徵,經閤理選取優勢節理組,對影響可崩性評價的參數進行定量分析,建立礦巖塊度三維模型,利用Makeblock軟件繫統對礦巖進行可崩性評價。利用上述方法對金川Ⅲ礦區進行可崩性評價,評價結果錶明崩落塊度體積在0.1~1.4 m3之間,其中體積小于0.4 m3的塊體佔85.5%,礦體採用自然崩落法進行開採的效果很好。同時,為證明Monte-Carlo模擬法的可靠性,採用勞佈施爾法對金川Ⅲ礦區的礦巖可崩性進行分析,結果錶明,運用Monte-Carlo模擬法對礦巖可崩性評價是可靠的。
광암가붕성시판별광산능부채용자연붕락법채광적중요삼수,통과대Monte-Carlo모의기술원리적분석,연구절리면공간괴도분포적특정,경합리선취우세절리조,대영향가붕성평개적삼수진행정량분석,건립광암괴도삼유모형,이용Makeblock연건계통대광암진행가붕성평개。이용상술방법대금천Ⅲ광구진행가붕성평개,평개결과표명붕락괴도체적재0.1~1.4 m3지간,기중체적소우0.4 m3적괴체점85.5%,광체채용자연붕락법진행개채적효과흔호。동시,위증명Monte-Carlo모의법적가고성,채용로포시이법대금천Ⅲ광구적광암가붕성진행분석,결과표명,운용Monte-Carlo모의법대광암가붕성평개시가고적。
Cavability of ore -rock is the important parameters which can judge the mine by using block caving method.Through analyzing Monte -Carlo simulation technology theory , the characteristics of the joint surface's dis-tributional space was researched , and the reasonable advantage of joints were selected , the related parameters which is thought important too were analyzed , and the 3d model block was built , finally, Makeblock software sys-tem was used to evaluate .This method is applied to ore -rock fragmentation evaluation on No .3 mining area in Jin-chuan.The simulation results show that block caving volume is between 0.1 and 1.4 m3 and the blocks volume less than 0.4 m3 is 85.5%.It is believed that it is an effective method to evaluate the cavability of ore -rock .At the same time , Laubscher's caving chart can be used to prove the reliability of the Monte-Carlo simulation method .The results show that using Monte-Carlo simulation method is reliable .