调整炸药岩石匹配爆破试验研究
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摘要
在研究过程中测量油母页岩岩石、岩体弹性纵波速度,确定选取炸药类型,采用BP神经网络和经典炸药岩石匹配理论相互论证炸药性能的数据调整方案、在相同爆破参数条件下进行油母页岩炸药和岩石匹配爆破试验,采用Split-Desktop软件分析试验后岩石块度分布以验证匹配效果。在试验后分析了油母页岩岩石块度分布,发现尾矿率升高,试验结果不理想。通过对爆破试验设计的分析,排除孔网参数、装药结构等的可能性;总结出岩体节理裂隙、节理面与自由面交角、爆破延期时间3方面原因。
The author measured oil shale rock, rock elastic P-wave velocity in the process of research, determined explosive types,and adopted BP neural network and the classical theory of explosive rock matching to mutually demonstrate data adjustment scheme of explosive performance. Under the same blasting parameters conditions, the author carried out oil shale rock explosives and rock match blasting experiment, and adopted Split-Desktop software to analyze rock fragmentation distribution in order to verify the matching effect. After experiment, the author found tailings rate increases, and the experiment results are not ideal. Through analyzing the blasting experiment design, the author excluded the possibility of hole pattern parameters and charging structure, and summarized the jointed rock mass, joint surface and free surface crossing angle, blasting delay time three reasons.
The author measured oil shale rock, rock elastic P-wave velocity in the process of research, determined explosive types,and adopted BP neural network and the classical theory of explosive rock matching to mutually demonstrate data adjustment scheme of explosive performance. Under the same blasting parameters conditions, the author carried out oil shale rock explosives and rock match blasting experiment, and adopted Split-Desktop software to analyze rock fragmentation distribution in order to verify the matching effect. After experiment, the author found tailings rate increases, and the experiment results are not ideal. Through analyzing the blasting experiment design, the author excluded the possibility of hole pattern parameters and charging structure, and summarized the jointed rock mass, joint surface and free surface crossing angle, blasting delay time three reasons.
引文
[1]郑长青.炸药与岩石智能匹配系统研究[D].北京:中国地质大学,2009.
[2]赵明生,徐海波,张敢生.基于神经网络的炸药与岩石匹配的研究[J].辽宁科技学院学报,2009(1):2-5.
[3]叶海旺,叶结旺,朱瑞赓.基于模糊推理的炸药与岩石智能匹配系统研究[J].爆破器材,2005,12(4)5-6.
[4]叶海旺.基改进BP网络和模糊综合评判的炸药与岩石匹配优化[J].有色金属,2004,8(3):95-97.
[5]何晓光,张敢生.爆破地震安全判据探讨[J].辽宁科技学院学报,2005(2):26-28.
[6]周开利,康耀红.神经网络模型及其MATLAB仿真程序设计[M].北京:清华大学出版社,2004.
[7]Bergman O R.Model rock blasting-effect of explosives properties and other variables on blasting results[J].Int.J.Rock Mech.Min.Sci.&Geomech.Abstr,1973,10.
[8]钮强,熊代余.炸药岩石阻抗匹配的模拟试验研究[J].爆破,1984,7(4):57-58.
[9]宫永军.南芬露天铁矿炸药和岩石特性相关性的研究[J].金属矿山,1994(12):36-37.
[10]赖应得.论炸药和岩石的能量匹[J].工程爆破,1995,11(2):22-26.
[11]郭子庭,吴从师.炸药与岩石的全过程匹配[J].矿冶工程,1993,9(3):11-15.
[12]杨小林.炸药岩石阻抗匹配与爆炸应力、块度的试验研究[J].煤炭学报,1991(1):89-95.
[13]汪旭光.爆破设计与施工[M].北京:冶金工业出版社,2011:201-203.
[2]赵明生,徐海波,张敢生.基于神经网络的炸药与岩石匹配的研究[J].辽宁科技学院学报,2009(1):2-5.
[3]叶海旺,叶结旺,朱瑞赓.基于模糊推理的炸药与岩石智能匹配系统研究[J].爆破器材,2005,12(4)5-6.
[4]叶海旺.基改进BP网络和模糊综合评判的炸药与岩石匹配优化[J].有色金属,2004,8(3):95-97.
[5]何晓光,张敢生.爆破地震安全判据探讨[J].辽宁科技学院学报,2005(2):26-28.
[6]周开利,康耀红.神经网络模型及其MATLAB仿真程序设计[M].北京:清华大学出版社,2004.
[7]Bergman O R.Model rock blasting-effect of explosives properties and other variables on blasting results[J].Int.J.Rock Mech.Min.Sci.&Geomech.Abstr,1973,10.
[8]钮强,熊代余.炸药岩石阻抗匹配的模拟试验研究[J].爆破,1984,7(4):57-58.
[9]宫永军.南芬露天铁矿炸药和岩石特性相关性的研究[J].金属矿山,1994(12):36-37.
[10]赖应得.论炸药和岩石的能量匹[J].工程爆破,1995,11(2):22-26.
[11]郭子庭,吴从师.炸药与岩石的全过程匹配[J].矿冶工程,1993,9(3):11-15.
[12]杨小林.炸药岩石阻抗匹配与爆炸应力、块度的试验研究[J].煤炭学报,1991(1):89-95.
[13]汪旭光.爆破设计与施工[M].北京:冶金工业出版社,2011:201-203.
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