| 基于神经网络的隧道围岩位移反分析研究 |
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| 引用本文： | 李景成,刘志峰.基于神经网络的隧道围岩位移反分析研究[J].土工基础,2011,25(1):65-69. |
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| 作者姓名： | 李景成 刘志峰 |
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| 作者单位： | 1. 武汉市市政工程质量监督站,武汉,430010
2. 解放军军事经济学院,武汉,430033 |
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| 摘 要： | 根据重庆鹰嘴岩隧道现场监控量测资料，基于BP神经网络理论，进行了公路隧道围岩位移反分析研究。首先利用FLAC3D对隧道开挖衬砌过程进行模拟分析，建立各围岩参数组合与位移计算值的对应关系，形成用于神经网络训练和检验的样本，通过训练样本和检验样本分别对网络进行训练和检验，得出较为理想的位移反分析模型；然后通过此模型根据重庆鹰嘴岩隧道现场监控量测的围岩位移资料对有关围岩稳定性的力学参数进行了反演，为隧道围岩稳定性评价分析提供了重要的力学参数。
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| 关 键 词： | 位移反分析 FLAC3D BP神经网络 |
Research on Displacement Back Analysis of Surrounding Rock of Tunnel Based on BP Neural Network |
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| LI Jing cheng,LIU Zhi feng.Research on Displacement Back Analysis of Surrounding Rock of Tunnel Based on BP Neural Network[J].Soie Engineering and Foundation,2011,25(1):65-69. |
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| Authors: | LI Jing cheng LIU Zhi feng |
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| Affiliation: | 1.Wuhan Municipal Engineering Quality Supervision Station,Wuhan 430010;2.Military Economy Academy of PLA,Wuhan 430033,China) |
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| Abstract: | According to the monitored data in Yinzuiyan tunnel,the displacement back analysis of surrounding rock of highway tunnel was studied based on BP neural network.The excavation and lining of tunnel was simulated by FLAC3D to establish the relationship between the parameters combination of tunnel and the displacement calculation,then the samples used to BP neural network’s training and testing was established,too.The model of displacement back analysis was obtained by training and testing these samples.Finally,the mechanical parameters of surrounding rock stability was back analyzed based on this model according to the monitored data in Yinzuiyan tunnel,in which the mechanical parameters was provided for the stability evaluation of surrounding rock of Yinzuiyan tunnel. |
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| Keywords: | FLAC3D |
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