信息反馈技术在牛头山隧道施工中的应用
[Abstract]:With the continuous improvement of the transportation system in China, especially the construction of a large number of high-speed railway tunnel projects in recent years, the engineering geological conditions are becoming more and more complex. In the past, the simple experience construction and the engineering analogy method can not meet the actual needs of the field construction. It is necessary to obtain the change law of the surrounding rock of the tunnel through the real time monitoring on the spot, and carry on the preprocessing analysis to it in time. The analysis results are fed back to the owners, design units, supervision and construction units in time, so that each unit can make scientific prediction of tunnel deformation and optimize and improve the tunnel design and excavation support scheme, so as to reduce the construction cost and improve the construction speed. Taking Niutoushan tunnel excavation as the engineering background, this paper studies the application of information feedback technology in tunnel construction. The main contents are as follows: first, according to the actual surrounding rock condition of Niutoushan tunnel, the construction situation, Determine the tunnel monitoring scheme suitable for Niutoushan tunnel construction, and choose a scientific and reasonable monitoring section distribution method; Secondly, the monitoring items of monitoring sections are monitored in real time, the monitoring data are pretreated, and six kinds of function regression models are established. The results of preprocessing are compared and analyzed by six regression models using origin software, and the deformation of surrounding rock is obtained. The law function of arch roof convergence and surface subsidence; Finally, the derivation of the regression function is carried out, and the deformation of surrounding rock, the convergence of arch roof and the change function of surface subsidence rate are obtained, the change curve is drawn, and the excavation scheme and supporting scheme of Niutoushan tunnel are optimized. The results show that the optimization scheme is scientific and reasonable. The successful application of information feedback technology in Niutoushan tunnel has greatly reduced the construction risk of Niutoushan tunnel, improved the engineering quality, and also has reference significance for other kinds of engineering construction.
【学位授予单位】:西安科技大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:U455.4
【参考文献】
相关期刊论文 前10条
1 何栋梁;成彦惠;方建勤;柳群义;;考虑时空效应的隧道围岩变形分析[J];公路交通科技;2016年07期
2 武晓勇;;隧道信息化施工监测中项目管理的具体内容[J];交通世界;2016年18期
3 唐霞;陈建平;孙洋;罗林;;软岩公路隧道二次衬砌支护时间的优化研究[J];科学技术与工程;2015年03期
4 包太;言志信;刘新荣;;有理函数在隧道监测数据回归分析中的应用[J];地下空间与工程学报;2009年05期
5 陆渝生;许琼萍;邱艳宇;李朝圃;王德荣;;隧道洞库施工监测方案的优化设计[J];解放军理工大学学报(自然科学版);2009年02期
6 王鹏;周传波;郭廖武;梅林芳;李扬;;基于FLAC及神经网络的岩体力学参数反分析[J];矿冶工程;2009年02期
7 刘大刚;陶德敬;王明年;;地铁双隧道施工引起地表沉降及变形的随机预测方法[J];岩土力学;2008年12期
8 黄明华;刁心宏;杨华;;隧道变形预测的灰色模型研究[J];华东交通大学学报;2008年02期
9 时亚昕;陶德敬;王明年;;大断面浅埋暗挖隧道施工引起的地表移动及变形预测[J];岩土力学;2008年02期
10 杜菊红;黄宏伟;雷新文;;平年小间距隧道监控量测分析[J];地下空间与工程学报;2007年S2期
相关硕士学位论文 前5条
1 汪春鸣;组合模型在隧道变形预测中的应用[D];江西理工大学;2012年
2 易志强;隧道施工监控量测数据挖掘及其变形预测[D];长沙理工大学;2011年
3 牛淑慧;安晋浅埋隧道开挖地表沉降及安全分析[D];昆明理工大学;2010年
4 贾璞;箱涵浅埋暗挖施工地表沉降监测资料分析与数据挖掘[D];天津大学;2009年
5 陈晓鹏;岩体边坡监测信息管理与监测数据分析网络系统开发及工程应用[D];山东大学;2008年
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