唐海;袁超;梁开水;
TANG Hai1,YUAN Chao1,LIANG Kai-shui2(1.Hunan Provincial Key Laboratory of Safe Mining Techniques of Coal Mines,Hunan University of Science and Technology,Xiangtan 411201,Hunan,China;2.School of Resources and Environmental Engineering,Wuhan University of Technology,Wuhan 430070,China)

• 1:湖南科技大学煤矿安全开采技术湖南省重点实验室
• 2:武汉理工大学资源与环境工程学院

摘要(Abstract)：

预裂爆破具有减振和保护岩体等特点,在爆破工程中得到了广泛运用。通过分析认为预裂爆破成缝理论和成缝计算模型均不完善,同时岩石成缝与岩石性质、地质条件、装药量、孔间距等多种因素有关。目前为止,预裂爆破的设计主要依靠经验公式。运用人工神经网络综合方法,建立了预裂爆破参数设计的BP神经网络模型,并借助Matlab语言,开发了预裂爆破参数优化设计智能系统,且用工程实例进行了验证。结果表明,该智能系统设计参数与实际设计参数相当符合。
Presplitting blasting has been applied in engineering widely,with its characteristics of the shock absorption and protection of rock mass.The theory and calculation model of cracks shaped by presplitting blasting have been not perfect to analyze rock mass,and fracture of rock shaped by presplitting blasting is related to property of rock mass,geology,charge weight and explosive distance.Up to now,design of parameters has depend on empirical formula in presplitting blasting.The model of BP neural network was established in order to design presplitting blasting parameters with artificial neural network method.An intelligent system of parameters optimization was built by Matlab and was proved through application of it into engineering practice.The results showed that blasting parameters designed by the intelligent system were consistent with practical design parameters basically.

关键词(KeyWords)： 神经网络;Matlab;预裂爆破;参数优化;智能系统
Neural network;Matlab;Presplitting blasting;Blasting parameters optimization;Intelligent system

Abstract:

Keywords:

基金项目(Foundation): 湖南省高校科技创新团队支持计划资助;; 湖南省教育厅资助科研项目(08c325)

作者(Authors): 唐海;袁超;梁开水;
TANG Hai1,YUAN Chao1,LIANG Kai-shui2(1.Hunan Provincial Key Laboratory of Safe Mining Techniques of Coal Mines,Hunan University of Science and Technology,Xiangtan 411201,Hunan,China;2.School of Resources and Environmental Engineering,Wuhan University of Technology,Wuhan 430070,China)

参考文献(References)：

• (1)高文远.兰尖铁矿露天边坡破碎带控制爆破技术研究[D].昆明理工大学,2001.
• (2)林苗苗,余德运.高速公路路堑边坡预裂爆破参数选择[J].爆破,2008,25(1):32-33.
• (3)丁德馨,刘永.预裂爆破力学模型探讨[J].衡阳工学院学报,1994(2):1-6.
• (4)李彬峰,潘国斌.光面爆破和预裂爆破参数研究[J].爆破,1998,15(2):14-18.
• (5)张志呈.定向断裂控制爆破[M].重庆:重庆出版社,2000.
• (6)郭连军,王智静,牛成俊.爆破优化的神经网络模型[J].工程爆破,1996(2):11-15.
• (7)刘浩吾,蔡德所.三峡工程岩体爆破地震效应的神经网络模型[J].岩土工程学报,1998(1):18-21.
• (8)徐全军,张庆明,恽寿榕.爆破地震峰值的神经网络预报模型[J].北京理工大学学报,1998(4):472-475.
• (9)徐全军,刘强,聂渝军,等.爆破地震峰值预报神经网络研究[J].爆炸与冲击,1999(2):133-138.
• (10)张钦礼,郑晶晶,张德明,等.新桥硫铁矿凿岩爆破参数优化试验研究[J].爆破,2009,26(3):1-5.
• (11)吕淑然.爆破震动强度预测的神经网络模型研究[J].金属矿山,2009(6):40-42.
• (12)龚声武,凌同华.爆破震速预测的模糊神经网络模型及其应用[J].矿业研究与开发,2009,29(2):95-97.
• (13)唐海,石永强,李海波,等.基于神经网络的爆破振动速度峰值预报[J].岩石力学与工程学报,2007,26(增1):3532-3539.
• (14)王长友,唐又驰,刘涛.光面爆破效果BP神经网络预测[J].辽宁工程技术大学学报,2005,24(1):73-75.
• (15)从爽.面向MATLAB工具箱的神经网络理论与应用[M].合肥:中国科技大学出版社,1998.
• (16)张正宇,张文煊,吴新霞,等.现代水利水电工程爆破[M].北京:中国水利水电出版社,2003.
• (17)唐海,梁开水,游钦峰.预裂爆破成缝机理及其影响因素的探讨[J].爆破,2010,27(3):41-44.
• (18)张志呈,肖正学,郭学彬,等.裂隙岩体爆破技术[M].成都:四川科学技术出版社,1999.
• (19)杨文渊.工程爆破常用数据手册[M].北京:人民交通出版社,2002.
• (20)Hecht-Nielsen R.Kolmogorov's Mapping Neural Net-work Existence Theorem[A].Proceedings of IEEE In-ternational Conference on Neural Networks[C].NewYork:IEEE Press.1987,3:11-13.