| 基于BP网络动态预测预报轻轨隧道围岩位移 |
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| 引用本文： | 陈秋南,张永兴,陈建功.基于BP网络动态预测预报轻轨隧道围岩位移[J].公路交通科技,2004,21(2):65-69. |
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| 作者姓名： | 陈秋南 张永兴 陈建功 |
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| 作者单位： | 1. 重庆大学土木工程学院,重庆,400045;湖南科技大学土木工程学院,湖南,湘潭,411201
2. 重庆大学土木工程学院,重庆,400045 |
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| 基金项目： | 国家十五科技攻关计划项目(2001BA604A02) |
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| 摘 要： | 分别利用ANSYS有限元程序动态施工反演分析方法和BP网络的方法,进行轻轨隧道围岩的位移预测预报,计算结果表明,基于BP网络的方法不仅克服了有限元反演分析方法的不足,而且能综合考虑隧道围岩节理、裂隙等对围岩位移的影响,为适时地进行围岩支护提供理论依据。
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| 关 键 词： | BP网络 隧道围岩 预报 |
| 文章编号： | 1002-0268(2004)02-0065-05 |
| 修稿时间： | 2003年1月4日 |
The Displacement Prediction of Surrounding Rock Based on BP Neural Network for the Tunnel |
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| CHEN Qiu-nan.The Displacement Prediction of Surrounding Rock Based on BP Neural Network for the Tunnel[J].Journal of Highway and Transportation Research and Development,2004,21(2):65-69. |
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| Authors: | CHEN Qiu-nan |
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| Institution: | CHEN Qiu-nan~ |
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| Abstract: | The methods of the displacement prediction are put out for surrounding rock of light rail tunnel on this paper.At first ,the FEM is used for the back-analysis of staged construction ,meanwhile ,based on BP neural network,the displacement of surrounding rock is predicted.The results show that the method of the BP neural network may not only overcome the default of FEM for back-analysis,but also have the effects of joint and fracture of tunnel surrounding rock on the settlement to be comprehensively considered,so as to put out reasonable value for surrounding rock supporting of tunnel in time. |
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| Keywords: | BP neural network Surrounding rock of tunnel Prediction |
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