| 堡镇隧道围岩变形的神经网络预测 |
| |
| 引用本文： | 丁祥,林宝龙,朱永全.堡镇隧道围岩变形的神经网络预测[J].石家庄铁道学院学报,2007,20(1):39-43. |
| |
| 作者姓名： | 丁祥 林宝龙 朱永全 |
| |
| 作者单位： | [1]石家庄铁道学院土木工程分院,河北石家庄050043 [2]石家庄铁路职业技术学院,河北石家庄050041 |
| |
| 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。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。针对宜万铁路堡镇隧道软弱围岩区段施工大变形特点，采用神经网络技术对其变形量进行了预测分析，预测结果经过工程实践检验，具有相对较高的准确性和可靠性，为隧道施工决策提供了有效依据。
|
| 关 键 词： | 围岩变形 神经网络 预测 |
| 文章编号： | 1006-3226（2007）01-0039-05 |
| 收稿时间： | 2006-05-22 |
| 修稿时间： | 2006-05-22 |
Prediction of Surrounding Rock Deformation with Nerve Network in Baozhen Tunnel |
| |
| Ding Xiang,Lin Baolong,Zhu Yongquan.Prediction of Surrounding Rock Deformation with Nerve Network in Baozhen Tunnel[J].Journal of Shijiazhuang Railway Institute,2007,20(1):39-43. |
| |
| Authors: | Ding Xiang Lin Baolong Zhu Yongquan |
| |
| Institution: | 1. School of Civil Engineering, Shijiazhuang Railway Institute, Shijiazhuang 050043, China; 2. Shijiazhuang Vocational College of Railway Technology, Shijiazhuang 050041, China |
| |
| 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 large deformation characteristics of the soft surrounding rock in Baozhen tunnel of Yiwan railway, the nerve network technology is adopted to predict the subsidence displacements. The predicting results is almost accurate, which provides effectual gist for tunnel construction. |
| |
| Keywords: | surrounding rock deformation nerve network prediction |
| 本文献已被 维普 万方数据 等数据库收录！ |
