| 通渝隧道围岩变形的神经网络预测 |
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| 引用本文： | 徐林生.通渝隧道围岩变形的神经网络预测[J].岩土工程技术,2004,18(3):122-125. |
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| 作者姓名： | 徐林生 |
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| 作者单位： | 重庆交通学院,重庆,400074 |
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| 摘 要： | 隧道新奥法施工中 ,常以围岩变形量作为评判围岩稳定性和支护结构经济合理性的重要指标。公路隧道围岩变形量是随时间而变化的数据序列 ,因而可以建立一些实时跟踪预测模型和方法。根据通渝隧道围岩拱顶下沉位移变形的特性 ,采用神经网络技术来预测其变形量 ,结果表明该方法简易、有效
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| 关 键 词： | 通渝公路隧道 神经网络 围岩变形 预测 |
| 文章编号： | 1007-2993(2004)03-0122-04 |
| 修稿时间： | 2004年3月25日 |
Prediction of Nerve Network on Surrounding Rock Deformation in Tongyu Highway Tunnel |
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| Xu Linsheng.Prediction of Nerve Network on Surrounding Rock Deformation in Tongyu Highway Tunnel[J].Geotechnical Engineering Technique,2004,18(3):122-125. |
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| Authors: | Xu Linsheng |
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| Abstract: | The surrounding rock deformation of highway tunnel is an important index to assess its stability and economy of support structure in NATM.It is a data column which is related with measurement time sequence,so we can set up some effective models and methods to predict the surrounding rock deformation. According to the surrounding rock deformation characteristics of Tongyu highway tunnel, the nerve network technology is adopted to predict the subsidence displacements.The research results show this prediction method is simple and effective. |
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| Keywords: | Tongyu highway tunnel nerve network surrounding rock deformation prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
