矿岩可爆性分级新方法
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摘要
综合考虑影响可爆性的多重因素,采用因子分析法对表征可爆性的多个指标进行因子分析,随后进行模糊聚类,最终采用4个确定可爆性的主因子分别为抗拉强度、波阻抗、完整性系数及孔隙率,并给出分级计算法。在此基础上,定义样本数据库,采用最小Hamming距离和Hamming贴进度校验分级可靠性,判别各类岩石可爆性等级,量化可爆性使不同区域岩石间具有可比性,同时简化分级难度使之易于现场操作。
Taking the multiple factors that affect the blastability into consideration,factor analysis of parameters which may affect blastability is proposed,which is followed with fuzzy clustering.Finally,4 principal factors are used to serve as the quantitative description of blastability.They are tensile strength,wave impedance,integrity index and porosity.In addition,a new method is given to calculate the blastability indexes.Based on the above foundation,sample database is defined,its reliability is examined using minimum hamming distance and hamming approach degree.The blastability of different rocks is distinguished,so that it can be compared.Meanwhile,the problem of classification is simplified to make it easy for site operation.
Taking the multiple factors that affect the blastability into consideration,factor analysis of parameters which may affect blastability is proposed,which is followed with fuzzy clustering.Finally,4 principal factors are used to serve as the quantitative description of blastability.They are tensile strength,wave impedance,integrity index and porosity.In addition,a new method is given to calculate the blastability indexes.Based on the above foundation,sample database is defined,its reliability is examined using minimum hamming distance and hamming approach degree.The blastability of different rocks is distinguished,so that it can be compared.Meanwhile,the problem of classification is simplified to make it easy for site operation.
引文
[1]戴俊.岩石动力学特性与爆破理论[M].北京:冶金工业出版社,2002.
[2]陶刘群,汪旭光.基于物联网技术的智能爆破初步研究[J].有色金属(矿山部分),2012,64(6):88-90,94.
[3]于亚伦.高应变率下的岩石动载特性对爆破效果的影响[J].岩石力学与工程学报,1993,12(4):345-347.
[4]王斌,李夕兵.单轴荷载下饱水岩石静态和动态抗压强度的细观力学分析[J].爆炸与冲击,2012,32(4):424.
[5]言志信,王后裕.爆破地震效应及安全[M].北京:科学出版社,2011.
[6]璩世杰,毛市龙,吕文生,等.一种基于加权聚类分析的岩体可爆性分级方法[J].北京科技大学学报,2006,28(4):325-326.
[7]姜翠萍,陈瑜.岩体可爆性分级的加权聚类分析方法[J].爆破,2000,17(1):8-9.
[8]杨军,熊代余.岩石爆破机理[M].北京:冶金工业出版社,2004.
[9]范利华,璩世杰,尚留勇,等.基于模糊识别的岩体可爆性分级[J].矿业快报,2007(2):15-16.
[10]李安贵,张志宏,孟艳,等.模糊数学及其应用[M].北京:冶金工业出版社,2009.
[11]辛明印,璩世杰,陈煊年,等.南芬露天铁矿的岩体可爆性分级方法及其应用[J].工程爆破,2006,12(1):8-10.
[12]璩世杰,齐宝军,许文耀,等.水厂铁矿岩体可爆性分级方法与应用[J].金属矿山,2009(11):25-27.
[13]中国力学学会工程爆破专业委员会.爆破工程[M].北京:冶金工业出版社,1992.
[14]Jorgenson G K,Chung S H.Blast simulation surface and underground with the SABREX model[J].CIM Bulletin,1987,80:35-42.
[2]陶刘群,汪旭光.基于物联网技术的智能爆破初步研究[J].有色金属(矿山部分),2012,64(6):88-90,94.
[3]于亚伦.高应变率下的岩石动载特性对爆破效果的影响[J].岩石力学与工程学报,1993,12(4):345-347.
[4]王斌,李夕兵.单轴荷载下饱水岩石静态和动态抗压强度的细观力学分析[J].爆炸与冲击,2012,32(4):424.
[5]言志信,王后裕.爆破地震效应及安全[M].北京:科学出版社,2011.
[6]璩世杰,毛市龙,吕文生,等.一种基于加权聚类分析的岩体可爆性分级方法[J].北京科技大学学报,2006,28(4):325-326.
[7]姜翠萍,陈瑜.岩体可爆性分级的加权聚类分析方法[J].爆破,2000,17(1):8-9.
[8]杨军,熊代余.岩石爆破机理[M].北京:冶金工业出版社,2004.
[9]范利华,璩世杰,尚留勇,等.基于模糊识别的岩体可爆性分级[J].矿业快报,2007(2):15-16.
[10]李安贵,张志宏,孟艳,等.模糊数学及其应用[M].北京:冶金工业出版社,2009.
[11]辛明印,璩世杰,陈煊年,等.南芬露天铁矿的岩体可爆性分级方法及其应用[J].工程爆破,2006,12(1):8-10.
[12]璩世杰,齐宝军,许文耀,等.水厂铁矿岩体可爆性分级方法与应用[J].金属矿山,2009(11):25-27.
[13]中国力学学会工程爆破专业委员会.爆破工程[M].北京:冶金工业出版社,1992.
[14]Jorgenson G K,Chung S H.Blast simulation surface and underground with the SABREX model[J].CIM Bulletin,1987,80:35-42.
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