金鼎钨钼矿露天台阶深孔爆破参数优化Optimization of Deep-hole Bench Blasting Parameters in Jinding Tungsten Molybdenum Mine
陈清运,余少平,彭静波,郑祖静,徐正碧,张惠君,黄贞林
摘要(Abstract)：
为解决金鼎钨钼矿生产中存在的大块率过高、根底残留等问题,通过力学实验研究、数值模拟和现场试验,对该露天台阶深孔爆破参数进行优化。通过常规三轴试验研究,得到了该矿岩力学参数和矿岩性质,确定其矿岩炸药单耗0.68 kg/m~3;运用ANSYS/LS-DYNA软件对爆破参数进行优化,以炮孔密集系数m为变量,通过比较坡底、坡顶有效应力与岩石的动抗拉强度,判断相应炮孔密集系数下矿岩的爆破效果。结果表明:当炮孔密集系数m=1.5时,坡底和坡顶岩石均被破坏,大块明显减少,振动危害也小,达到预期爆破效果。将优化后的爆破参数(孔径d=20 cm,炸药单耗q=0.68 kg/m~3,炮孔密集系数m=1.5,孔排距为600 cm×400 cm)应用于生产现场,爆破效果大为改善,大块率低于5%。可以为类似极硬岩矿山提供参考经验。
关键词(KeyWords)： 极硬矿岩;深孔台阶爆破;参数优化;炮孔密集系数;ANSYS/LS-DYNA
基金项目(Foundation): 国家自然科学基金项目(51374049)
作者(Author): 陈清运,余少平,彭静波,郑祖静,徐正碧,张惠君,黄贞林
参考文献(References)：
- [1]彭静波.极硬岩条件下露天台阶深孔爆破质量改善研究[D].武汉:武汉工程大学,2015.[1]PENG Jing-bo.Study on improvement of open-pit bench blasting quality under the condition of extremely hard rock[D].Wuhan:Wuhan Institute of Technology,2015.(in Chinese)
- [2]梅群力,钟太兴,陈清运,等.金鼎钨钼矿花岗闪长斑岩力学特性试验研究[J].金属矿山,2015,44(10):51-55.[2]MEI Qun-li,ZHONG Tai-xing,CHEN Qing-yun,et al.Experimental study on mechanical properties of granodioritic-porphyry in jingding tungsten mine[J].Metal Mine,2015,44(10):51-55.(in Chinese)
- [3]T K Koh,N J Miles,S P Morgan,et al.Improving particle size measurement using multi-flash imaging[J].Minerals Engineering,2009,22(6):537-543.
- [4]M Monjezi,H Dehghani.Evaluation of effect of blasting pattern parameters on back break using neural networks[J].International Journal of Rock Mechanics&Mining Sciences,2008,45(8):1446-1453.
- [5]柴修伟,姚金蕊,赵勇,等.地下磷块岩深孔回采爆破参数优化[J].爆破,2014,31(4):54-57.[5]CHAI Xiu-wei,YAO Jin-rui,ZHAO Yong,et al Optimization of longhole parameters of stoping blasting in underground hard-to-mine ore body[J].Blasting,2014,31(4):54-57.(in Chinese)
- [6]胡斌,李华舟,余海兵,等.峨眉黄山石灰石矿区爆破参数优化[J].工程爆破,2017,23(2):1-5.[6]HU Bin,LI Hua-zhou,YU Hai-bing,et al.Blasting parameter optimization of Emei Huangshan limestone mine[J].Engineering Blasting,2017,23(2):1-5.(in Chinese)
- [7]郑长青,陈庆寿,徐海波,等.基于神经网络的台阶爆破参数优化设计[J].爆破,2008,25(3):22-24.[7]ZHENG Chang-qing,CHEN Qing-shou,XU Hai-bo,et al.Bench blasting design and optimization based on neural network[J].Blasting,2008,25(3):22-24.(in Chinese)
- [8]张钦礼,刘伟军,杨伟,等.基于RBF神经网络的爆破参数优选试验研究[J].爆破,2017,34(1):1-6.[8]ZHANG Qin-li,LIU Wei-jun,YANG Wei,et al.Experiment study of mining technology improvement based on RBF neural network[J].Blasting,2017,34(1):1-6.(in Chinese)
- [9]邓飞,肖伟,程秋亭,等.基于BP神经网络的爆破参数优化[J].矿业研究与开发,2016,36(4):19-21.[9]DENG Fei,XIAO Wei,CHENG Qiu-ting,et al.Optimization of blasting parameters based on BP neural network[J].Mining Research and Development,2016 36(4):19-21.(in Chinese)
- [10]徐帅,彭建宇,李元辉,等.急倾斜薄矿脉中深孔落矿爆破参数优化[J].爆炸与冲击,2015,35(5):682-688.[10]XU Shuai,PENG Jian-yu,LI Yuan-hui,et al.Blasting parameters optimization of medium depth hole caving for steeply inclined thin veins[J].Explosion and Shock Waves,2015,35(5):682-688.(in Chinese)
- [11]宋子岭,庞湃,范军富,等.露天矿采空区深孔台阶爆破的合理参数确定[J].爆破,2016,33(3):48-52.[11]SONG Zi-ling,PANG Pai,FAN Jun-fu,et al.Determination of reasonable parameters of deep-hole bench blasting in open-pit mine goaf[J].Blasting,2016,33(3):48-52.(in Chinese)
- [12]张世琛,苟瑞君,马震宇,等.露天深孔台阶爆破参数优化设计[J].中北大学学报(自然科学版),2016,37(2):166-171.[12]ZHANG Shi-chen,GOU Rui-jun,MA Zhen-yu,et al.Parameters optimized design of open deep-hole bench surface blasting[J].Journal of North University of China(Natural Science Edition),2016,37(2):166-171.(in Chinese).