| BP网络在双连拱隧道围岩参数反分析中的应用 |
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| 引用本文： | 冯建龙,张孟喜. BP网络在双连拱隧道围岩参数反分析中的应用[J]. 上海大学学报(自然科学版), 2005, 11(3): 293-297,302 |
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| 作者姓名： | 冯建龙 张孟喜 |
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| 作者单位： | 上海大学,土木工程系,上海,200072;上海大学,土木工程系,上海,200072 |
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| 基金项目： | 上海市教委科技发展基金资助项目(03AK54) |
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| 摘 要： | 该文以模拟隧道开挖的有限元为正演工具，通过BP神经网络，对在隧道工程施工过程中量测到的围岩位移进行反分析，确定出围岩岩体的力学特性参数，从而可以通过数值分析方法对隧道围岩稳定性作出合理的评价和符合实际的预测，使得现场量测结果能更加有效地应用于隧道工程的施工决策．
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| 关 键 词： | 反分析 双连拱隧道 神经网络 有限元 |
| 文章编号： | 1007-2861(2005)03-0293-05 |
| 修稿时间： | 2004-04-16 |
BP Neural Networks Applied to Displacement Back-Analysis for Two-Arch Tunnel |
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| FENG Jian-long,ZHANG Meng-xi. BP Neural Networks Applied to Displacement Back-Analysis for Two-Arch Tunnel[J]. Journal of Shanghai University(Natural Science), 2005, 11(3): 293-297,302 |
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| Authors: | FENG Jian-long ZHANG Meng-xi |
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| Abstract: | In this paper, an FEM program simulating a two-arch tunnel construction is used as a tool in the forward process. Back-analysis is then performed for the rock displacement in a tunnel project to find the mechanical parameter of the rock based on BP neural network. A rational assessment prediction about the stability of the rock can be made by analyzing mechanical characteristic parameters of the rock therefore on-the-spot measurement results can be applied to the tunnel project more effectively. |
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| Keywords: | back-analysis two-arch tunnel neural network FEM |
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