| 岩体可爆性评价研究与工程应用实例 |
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| 引用本文： | 李涛,李克民,丁小华,马力,常治国.岩体可爆性评价研究与工程应用实例[J].矿业研究与开发,2011(4):107-109. |
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| 作者姓名： | 李涛 李克民 丁小华 马力 常治国 |
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| 作者单位： | 中国矿业大学矿业工程学院;中国矿业大学煤炭资源与安全开采国家重点实验室; |
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| 基金项目： | 国家高科技研究发展计划(863)计划项目(2007AA06Z131) |
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| 摘 要： | 在分析影响岩体可爆性的基础上,选取平均裂隙间距、岩体普氏系数、岩体波阻抗、动弹性模量为评价指标,建立岩体可爆性分级的粗糙元神经网络模型。依据黒岱沟矿岩体数据,对该矿的岩体可爆破性进行了分级评价。结果表明,所建立的模型能够很好的解决岩体可爆性分级问题,该模型可以避免主观因素对权重确定的影响,评价结果客观准确。
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| 关 键 词： | 岩体可爆性 粗糙元神经网络 分级 黒岱沟露天矿 |
Study of Rock Blastability Evaluation and an Example of Engineering Application |
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| LI Tao,LI kemin,DING Xiaohua,MA Li,CHANG Zhiguo.Study of Rock Blastability Evaluation and an Example of Engineering Application[J].Mining Research and Development,2011(4):107-109. |
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| Authors: | LI Tao LI kemin DING Xiaohua MA Li CHANG Zhiguo |
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| Affiliation: | LI Tao1,LI kemin1,2,DING Xiaohua1,MA Li1,CHANG Zhiguo1(1.School of Mines,China University of Mining & Technology,Xuzhou,Jiangsu 221116,China,2.State Key Laboratory of Coal Resources & Mine Safety,CUMT,China) |
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| Abstract: | Based on the analysis of rock blastability,average crack spacing,protodyakonov number,wave impedance and dynamic elastic modulus of rock were used as the evaluating indexes to establish rough neural network model for blastability classification of rock.Based on the relevant data of rock in Heidaigou open-pit mine,the blastability classification of the rocks was carried out.And the results showed that the established model could easily solve the problem of rock blastability,which could avoid the influence of... |
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| Keywords: | Rock blastability Rough neural network Classification Heidaigou open-pit mine |
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