徐振洋,郇宝乾,李萍丰,王雪松,周成平

• 1:辽宁科技大学矿业工程学院
• 2:辽宁省金属矿产资源绿色开采工程研究中心
• 3:宏大爆破工程集团有限责任公司
• 4:沈阳工业大学建筑与土木学院

摘要(Abstract)：

爆堆块度分布特征是评价爆破效果的重要指标，针对目前爆堆块度直接与间接法测量方法的不足，提出了一种爆堆自适应分层的块度空间分布测量方法，该方法使用GA-LSSVM模型来预测Weilbull函数的形状参数α、β,并设置多个预测点，生成三维爆堆形态预测曲线。同时对Kuz-Ram块度预测模型参数进行转换和融合，建立了爆堆分层距离预测模型，并将其导入Weilbull-GA-LSSVM爆堆形态预测模型，实现爆堆自动分层。通过现场应用，不断优化分层设计，探究爆堆最佳分层位置，达到爆堆自适应分层的效果。以广东省大排矿山为工程依托开展现场试验，结果表明：(1)Weibull-GA-LSSVM模型能够准确预测爆堆形态，其中爆堆最大前移距离预测结果的平均相对误差仅为5.6%,松散系数预测结果的相对误差多数在9%左右，表现出良好的稳定性。(2)爆堆自动分层模型能够在爆前合理地输出分层距离以及分层层数，保证了爆后现场爆堆的铲装效率。(3)推导出爆堆最佳分层位置距离公式，实现了爆堆自适应分层，爆堆块度分布测量精度明显提高，更接近于爆堆整体块度分布。

关键词(KeyWords)： 爆堆;自适应分层;块度分布;分层距离;爆破效果

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金资助项目(51974187);; 辽宁省教育厅重点项目(LJKZ0282)~~

作者(Author): 徐振洋,郇宝乾,李萍丰,王雪松,周成平

参考文献(References)：

• [1] 题正义，衣东丰.爆堆矿岩块度分布测试方法概述[J].辽宁工程技术大学学报，2003(S1):1-3.[1] ZHANG Zheng-yi,YI Dong-feng.An overview of block size distribution test methniversity of Engineering andods for blasted ore rocks[J].Journal of Liaoning University of Engineering and Technology,2003(S1):1-3.(in Chinese)
• [2] ARMAGHANI D J,HAJIHASSANI M,MOHAMAD E T,et al.Blasting?induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization[J].Arabian Journal of Geoences,2014,7(12):5383-5396.
• [3] 赵兴东，刘杰，张洪训，等.基于摄影测量的岩体结构面数字识别及采场稳定性分级[J].采矿与安全工程学报，2014,31(1):127-133.[3] ZHAO Xing-dong,LIU Jie,ZHANG Hong-xun,et al.Photogrammetry-based digital identification of rock structure surface and quarry stability classification[J].Journal of Mining and Safety Engineering,2014,31(1):127-133.(in Chinese)
• [4] 林大泽.爆堆块度评价方法研究的进展[J].中国安全科学学报，2003,13(9):5.[4] LIN Da-ze Progress in the evaluation of blast reactor lumpiness[J].Chinese Journal of Safety Science,2003,13(9):5.(in Chinese)
• [5] MENG Ning-kang,CHEN Yong,BAI Jian-biao,et al.Numerical simulation of directional fracturing by shaped charge blasting[J].Energy Science & Engineering,2020,8(5):1824-1839.
• [6] GUO Qin-peng,WANG Yu-chen,YANG Shi-jiao,et al.A method of blasted rock image segmentation based on improved watershed algorithm[J].Scientific Reports,2022,12(1):1-21.
• [7] SHEHU S A,YUSUF K O,HASHIM M H M.Comparative study of WipFrag image analysis and Kuz-Ram empirical model in granite aggregate quarry and their application for blast fragmentation rating[J].Geomechanics and Geoengineering,2022,17(1):197-205.
• [8] ЗАМЫШЛЯЕВ Б В,ЕВТЕРЕВ Л С,ЛОБОРЕВ В М,ЧЕРНЕЙКИН В А.Локальный двухмодальный законраспределения обломков по размерам при взрывномразрушении горных пород[J].ДАН СССР,1987,293(2):326-329.
• [9] 柴朝政.节理岩体爆破块度分区反演模拟和预测[D].武汉：长江科学院，2019.[9] CHAI Chao-zheng.Inverse simulation and prediction of blasting blockiness zoning of nodular rock body[D].Wuhan:Yangtze River Academy of Sciences,2019.(in Chinese)
• [10] 黄梦龙，吴钦正，李金平，等.基于JKSimBlast的露天矿爆破效果数值模拟研究与应用[J].爆破，2022(3):95-99.[10] HUANG Meng-long,WU Qin-zheng,LI Jin-ping,et al.Research and application of numerical simulation of blasting effect in open pit mines based on JKSimBlast[J].Blasting,2022(3):95-99.(in Chinese)
• [11] 冯春，李世海，郑炳旭，等.基于连续-非连续单元方法的露天矿三维台阶爆破全过程数值模拟[J].爆炸与冲击，2019,39(2):110-120.[11] FENG Chun,LI Shi-hai,ZHENG Bing-xu,et al.Numerical simulation of the whole process of three-dimensional step blasting in open pit mines based on the continuous-discontinuous cell method[J].Explosion and Shock,2019,39(2):110-120.(in Chinese)
• [12] 题正义.单图片摄影测试系统的煤岩块度分布计算方法[J].阜新矿业学院学报(自然科学版),1994(1):14-16.[12] TI Zheng-yi.Calculation method of lumpiness distribution of coal rock by single picture photographic test system[J].Journal of Fuxin Mining College(Natural Science Edition),1994(1):14-16.(in Chinese)
• [13] 姬付全，梁晓腾，杨林，等.基于ACE+CLAHE算法的隧道爆破块度图像分析[J].人民长江，2022,53(11):125-129.[13] JI Fu-quan,LIANG Xiao-teng,YANG Lin,et al.Image analysis of tunnel blasting blockiness based on ACE+CLAHE algorithm[J].People′s Yangtze River,2022,53(11):125-129.(in Chinese)
• [14] 江松，饶彬舰，卢才武，等.基于点渲染的多分支融合露天矿爆堆块体精细分割方法[J/OL].煤炭学报.[2022-12- 06].doi:10.13225/j.cnki.jccs.2022.1364.[14] JIANG Song,RAO Bin-ship,LU Cai-wu,et al.A fine segmentation method based on point rendering for multi-branch fusion of blast pile blocks in open pit mines[J/OL].Coal Journal.[2022-12- 06].doi:10.13225/j.cnki.jccs.2022.1364.(in Chinese)
• [15] 刘强，施富强，汪旭光，等.基于三维激光点云的爆破块度统计预测方法[J].煤炭学报，2020,45(S2):781-790.[15] LIU Qiang,SHI Fu-qiang,WANG Xuguang,et al.A statistical prediction method of blasting lumpiness based on 3D laser point cloud[J].Journal of Coal,2020,45(S2):781-790.(in Chinese)
• [16] 谢博，施富强，赵建才，等.爆破岩块自动识别与块度特征提取方法[J].爆破，2019,36(3):43- 49.[16] XIE Bo,SHI Fu-qiang,ZHAO Jian-cai,et al.Automatic identification of blasting rock mass and blockiness feature extraction method[J].Blasting,2019,36(3):43- 49.(in Chinese)
• [17] 李祥龙，何丽华.高台阶抛掷爆破爆堆形态预测的分排Weibull模型[J].爆炸与冲击，2013(S1):122-129.[17] LI Xiang-long,HE Li-hua.Split-row Weibull model for the prediction of blast pile morphology in high step-throw blasting[J].Explosion and Shock,2013(S1):122-129.(in Chinese)
• [18] 葛继科，邱玉辉，吴春明，等.遗传算法研究综述[J].计算机应用研究，2008,25(10):2911-2916.[18] GE Ji-ke,QIU Yu-hui,WU Chun-ming,et al.A review of genetic algorithm research[J].Computer Applications Research,2008,25(10):2911-2916.(in Chinese)
• [19] 马力，李天翔，来兴平，等.基于Fourier级数的露天矿抛掷爆破效果GA-LSSVM预测[J].煤炭学报，2022,47(12):4455- 4465.[19] MA Li,LI Tian-xiang,LAI Xing-ping,et al.GA-LSSVM prediction of blast effects in open pit mines based on Fourier series[J].Journal of Coal,2022,47(12):4455- 4465.(in Chinese)
• [20] 苗作华，谢媛，任磊，等.基于三维可视化的爆堆形态灰色敏感度分析[J].金属矿山，2022(2):83- 89.[20] MIAO Zuo-hua,XIE Yuan,REN Lei,et al.Grey sensitivity analysis of blast pile morphology based on three-dimensional visualisation[J].Metal Mining,2022(2):83- 89.(in Chinese)
• [21] 孙健东，陈需，周宇，等.基于无人机倾斜摄影的抛掷爆破爆堆形态测量方法[J].煤炭工程，2021,53(2):99-105.[21] SUN Jian-dong,CHEN Yun,ZHOU Yu,et al.Morphological measurement of thrown blast pile based on UAV tilt photography[J].Coal Engineering,2021,53(2):99-105.(in Chinese)
• [22] GHEIBIE S,AGHABABAEI H,HOSEINIE S H,et al.Modified Kuz Ram fragmentation model and its use at the Sungun Copper Mine[J].International Journal of Rock Mechanics & Mining Sciences,2009,46(6):967-973.
• [23] 龚汉松.岩体爆破块度控制机理与工程应用研究[D].北京：中国地质大学：2009.[23] GONG Han-song.Research on the control mechanism of rock blasting lumpiness and engineering application[D].Beijing:China University of Geosciences:2009.(in Chinese)
• [24] RAJAMANI K T,RANI P,SIEBERT H,et al.Attention-augmented U-Net(AA-U-Net) for semantic segmentation[J].Signal,image and video processing,2023,17(4):981-989.
• [25] 王韶辉.露天煤矿煤岩爆破块度分布规律及爆破参数优化研究[D].北京：中国矿业大学，2020.[25] WANG Shao-hui.Research on the distribution law of blasting lumpiness and optimisation of blasting parameters of coal rock in surface coal mine[D].Beijing:China University of Mining and Technology,2020.(in Chinese)
• [26] 徐振洋.爆炸聚能作用下岩石劈裂机理及试验研究[D].北京：北京理工大学，2014.[26] XU Zhen-yang.Mechanism and experimental study of rock splitting under the action of explosive energy gathering[D].Beijing:Beijing Institute of Technology,2014.(in Chinese)