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浅述人工智能在隧道工程中的应用 被引量:1

Application of Artificial Intelligence in Tunnel Engineering
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摘要 目前,传统隧道的相关技术主要依靠经验类比和少量的数值分析,其局限性将会大大限制隧道技术的发展。因此,将人工智能引入到隧道工程中显得尤为必要。简要介绍了人工智能,并分别从隧道的设计、施工、运营和维护等方面论述了人工智能在隧道工程中的应用。隧道工程的人工智能化,将使隧道工程的相关技术得到优化,从而大大提高隧道工程的安全性、高效性、舒适及节能性。 The traditional tunneling technology is dominantly based on experience analogy and small amount of numerical analysis , which severely restricts the development of the tunneling technology. Therefore, it seems particularly necessary to introduce the artificial intelligence to the tunnel engineering. In the paper, the artificial intelligence is briefly presented and the application of the artificial intelligence in the tunnel engineering is described in respect of design, construction, operation and maintenance of tunnels. Due to the application of the artificial intelligence in tunnel engineering, the relevant tunnel engineering technologies will be optimized so as to improve the level of safety, efficiency, comfort and energy saving of tunnel engineering.
出处 《隧道建设》 2007年第1期26-28,40,共4页 Tunnel Construction
关键词 隧道工程 人工智能 专家系统 典型类比 优化 tunnel engineering artificial intelligence expert system typical analogy optimization
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参考文献8

  • 1[2]Zhang Q,Nie X Y,Tian W T,et al.A case-based reasoning system for tunnel support design[C]// Proc.of 8th Int.Congress on Rock Mechanics.Rotterdam:A.A.Balkema,1995.
  • 2魏莉萍,张清.隧道工程喷锚支护的自动化设计方法[J].铁道学报,2000,22(1):83-86. 被引量:4
  • 3[4]Feng Xiating,Zhang Zhiqiang,Sheng Qian.Estimating mechanical rock mass parameters relating to the Three Gorges project permanent shiplock using an intelligent displacement back analysis method[J].Int.J.Rock Mech.& Min.Sci.,2000,37 (7).
  • 4[5]Cecil Ⅲ O S.Correlation of bolt-shotcrete support and rock quality parameters in scandinavian tunnels[Ph.D.Thesis][D].Urban:University of Illinois,1970.
  • 5冯夏庭,冯夏庭,贾民泰.岩石力学问题的神经网络建模[J].岩石力学与工程学报,2000,19(z1):1030-1033. 被引量:7
  • 6[7]Qiao Chunsheng,Tian Shengfeng.Multi-expert decisionmakingmethod for support design in tunneling engineering[C]//He Xia,Zheng Jianjun ed.Proc.of Int.Symp.on Modern Concrete Composites& Infrastructures.Beijing:DUP Satellite,2000.
  • 7[8]高渠清.隧道和地下工程技术发展趋势及展望[M].北京:中国铁道出版社,1982.
  • 8王洋,彭宏勤,周志惠.我国铁路智能化紧急救援与行车安全系统主要功能与结构探讨[J].交通运输系统工程与信息,2004,4(1):23-26. 被引量:1

二级参考文献16

  • 1冯夏庭,S.Webber,M.U.Ozbay,王永嘉.AN EXPERT SYSTEM ON ASSESSING ROCKBURST RISKS FOR SOUTH AFRICAN DEEP GOLD MINES[J].Journal of Coal Science & Engineering(China),1996,2(2):23-32. 被引量:9
  • 2[4]Feng Xiating. Rockburst prediction based on neural network [J]. Trans. Nonferrous Met. Soc. China, 1994, 4(1): 9~14
  • 3[5]Feng Xiating, Wang Yongjia, Yao Jianguo. A neural network model on real-time prediction of roof pressure in coal mines[J]. Int. J. of Rock Mech. Min. Sci., 1996, 33(6): 647~653
  • 4[6]Feng Xiating, Seto M,Katsuyama K. Neural dynamic modeling on earthquake magnitude series [J]. Geophysical Journal International, 1997, 128: 547~556
  • 5[8]Feng Xiating, Seto M. Fractal structure of time distribution of rock microfracturing [J]. Geophysics Journal International. 1999, 136(1): 275~285
  • 6[9]Feng Xiating, Steo M. A new method of modeling the rock microfracturing process in double torsion experiments usingneural networks [J]. International Journal of Analytic and Numerical Methods in Geomechanics, 1999, 23:905~923
  • 7[10]Feng Xiating, Seto M. Neural network dynamic modeling on rock microfracturing sequences under triaxial compressive stress eondition[J]. Tectonophysics, 1998, 292: 293~309
  • 8铁道部,铁路隧道工程技术手册,1995年
  • 9魏莉萍,学位论文,1993年
  • 10刘启琛,锚喷支护整治隧道裂损衬砌,1986年

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