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基于Hopfield网络的地下工程围岩稳定性分类

常利营, 卢建移, 段波, 陈群

常利营, 卢建移, 段波, 陈群. 基于Hopfield网络的地下工程围岩稳定性分类[J]. 岩土工程学报, 2011, 33(zk1): 187-190.
引用本文: 常利营, 卢建移, 段波, 陈群. 基于Hopfield网络的地下工程围岩稳定性分类[J]. 岩土工程学报, 2011, 33(zk1): 187-190.
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CHANG Li-ying, LU Jian-yi, DUAN Bo, CHEN Qun. Stability classification of adjoining rock of underground engineering based on Hopfield network[J]. Chinese Journal of Geotechnical Engineering, 2011, 33(zk1): 187-190.
Citation: CHANG Li-ying, LU Jian-yi, DUAN Bo, CHEN Qun. Stability classification of adjoining rock of underground engineering based on Hopfield network[J]. Chinese Journal of Geotechnical Engineering, 2011, 33(zk1): 187-190.
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基于Hopfield网络的地下工程围岩稳定性分类  English Version

  • 四川大学水力学与山区河流开发保护国家重点实验室，水利水电学院，四川 成都 610065

详细信息
    作者简介:

    常利营 ( 1986 – ) ，女，博士研究生，主要从事土力学方向研究。

  • 中图分类号: TU47

Stability classification of adjoining rock of underground engineering based on Hopfield network

  • State Key Laboratory of Hydraulics and Mountain River Engineering, College of Hydraulic and Hydroelectric Engineering, Sichuan University, Chengdu 610065, China

摘要

    摘要
  • 摘要: 运用具有联想记忆功 能的 Hopfield 神经网络对地下工程的围岩稳定性进行分类，选用岩石质量指标 R QD 、岩石单轴饱和抗压强度 R w 、完整性系数 K v 、结构面强度系数 K f 和地下渗水量 ω 等 5 个指标作为分类的影响因素，利用 matlab 中提供的函数构建网络并进行仿真，通过对分类标准的记忆，建立一个可以对地下工程围岩稳定性进行分类的 hopfield 网络。然后将网络用于漫湾水电站和广州抽水蓄能电站两个工程围岩的实测数据进行围岩分类，来检验网络的分类能力。研究表明， Hopfield 网络的分类结果是比较可靠的，网络收敛速度很快，具有很好的实用性。
    Abstract: The Hopfield neural network, with associative memory function, is used in the stability classification of adjoining rock of underground engineering. Five indexes, including rock quality designation ( RQD), uniaxial compressive strength ( Rw ), integrality coefficient ( K v ), strength coefficient of structural plane ( K f ) and seepage measurement of groundwater ( ω ), are selected as the factors which affect the classification. The function provided by matlab toolbox is used to build a network and for stimulation. After memorizing the standard of classification, a Hopfield network is established for the stability classification of adjoining rock of underground engineering. Then the network is used in the classification of the measured samples of two projects, Manwan Hydropower Station and Guangzhou Pumped Storage Power Station, to detect the classification ability of the network. The research shows that the classification results based on the Hopfield network are reliable. The network has a fast convergence rate and high practicability.
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    • 参考文献(7)
  • [1] 宫凤强 , 李夕兵 , 高 科 . 地下工程围岩稳定性分类的突变级数法研究 [J]. 中南大学学报 ( 自然科学版 ), 2008, 39 (5): 1081 – 1086. (GONG Feng-qiang, LI Xi-bing, GAO Ke. Catastrophe progression method for stability classification of underground engineering surrounding rock[J]. Journal of Central South University (Science and Technology), 2008, 39 (5): 1081 – 1086. (in Chinese))
    [2] 常晓林 , 张美丽 , 杨海云 , 等 . 基于联系熵的围岩稳定性评价研究 [J]. 岩土力学 , 2010, 31 (1): 99 – 101. (CHANG Xiao-lin, ZHANG Mei-li, YANG Hai-yun, et al. Application of connection entropy to stability evaluation of adjoining rock[J]. Rock and Soil Mechanics, 2010, 31 (1): 99 – 101. (in Chinese))
    [3] 冯玉国 . 灰色优化理论模型在地下工程围岩稳定性分类中的应用 [J]. 岩土工程学报 , 1996, 18 (3): 62 – 66. (FENG Yu-guo. Application of grey optimal theory model in the stability classification of adkoining rock of underground construction[J]. Chinese Journal of Geotechnical Engineering, 1996, 18 (3): 62 – 66. (in Chinese))
    [4] 徐传华 , 任青文 . 地下工程围岩稳定性的模糊综合评判法 [J]. 岩石力学与工程学报 , 2004, 23 (11): 1852 – 1855. (XU Chuan-hua, REN Qing-wen. Fuzzy-synthetical evaluation on stability of surrounding rockmasses of underground engineering[J]. Chinese Journal of Rock Mechanics and Engineering, 2004, 23 (11): 1852 – 1855. (in Chinese))
    [5] 赖永标 . 支持向量机在地下工程中的应用研究 [D]. 南京 : 河海大学 , 2001. (LAI Yong-biao. Application and study of support vector machine in the underground engineering[D]. Nanjing: Hohai University, 2001. (in Chinese))
    [6] 杨朝晖 , 刘浩吾 . 地下工程围岩稳定性分类的人工神经网络模型 [J]. 四川联合大学学报 : 工程科学版 , 1999, 3 (4): 66 – 72. (YANG Zhao-hui, LIU Hao-wu. Artificial neural network model for the stability classification of adjoining rock of underground construction[J]. Journal of Sichuan Union University: Engineering Science Edition, 1999, 3 (4): 66 – 72. (in Chinese))
    [7] 崔永华 , 左其亭 . 基于 Hopfield 网络的水质综合评价及其 matlab 实现 [J]. 水资源保护 , 2007, 23 (3): 14 – 16. (CUI Yong-hua, ZUO Qi-ting. Comprehensive assessment of water quality based on Hopfield network and realization with matlab[J]. Water Resources Protection, 2007, 23 (3): 14 – 16. (in Chinese))
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出版历程
  • 收稿日期:  2011-04-28
  • 发布日期:  2011-11-30

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