Prediction of Nerve Network on Surrounding Rock Deformation in Tongyu Highway Tunnel
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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。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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Key words:
- Tongyu highway tunnel /
- nerve network /
- surrounding rock deformation /
- prediction
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