| 超大型"管幕-箱涵"顶进施工土体变形的分析与预测 |
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| 引用本文： | 孙钧,虞兴福,孙旻,李向阳.超大型"管幕-箱涵"顶进施工土体变形的分析与预测[J].岩土力学,2006,27(7):1021-1027. |
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| 作者姓名： | 孙钧 虞兴福 孙旻 李向阳 |
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| 作者单位： | 1. 同济大学,隧道与地下工程研究所,上海,200092;上海城建集团院士研究室,上海,200092
2. 同济大学,隧道与地下工程研究所,上海,200092 |
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| 摘 要： | 结合上海市中环线北虹路下立交地道工程采用“管幕-箱涵”顶进的非开挖施工全过程,分别应用ANSYS和FLAC三维数值分析程序,对顶进施工所引起的地表变形位移进行了全过程的动态仿真模拟,并采用弹性地基梁法和室内模拟试验以及现场实测数据比拟法,对地表变形特征进行了系统地研究,最后应用软科学的智能方法,对“管幕-箱涵”顶进非开挖工法所引起的地表变形位移进行了人工神经网络滚动预测.其研究成果已经提交施工部门参考和采用.
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| 关 键 词： | 管幕 箱涵 顶进 施工变形 数值分析 智能预测 |
| 文章编号： | 1000-7598-（2006）07-1021-07 |
| 收稿时间： | 2006-02-16 |
| 修稿时间： | 2006-03-10 |
Analysis and prediction on soft ground deformation of a super-large shallow burried "pipe-roofing and box-culvert" jacking project under construction |
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| SUN Jun,YU Xing-fu,SUN Min,LI Xiang-yang.Analysis and prediction on soft ground deformation of a super-large shallow burried "pipe-roofing and box-culvert" jacking project under construction[J].Rock and Soil Mechanics,2006,27(7):1021-1027. |
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| Authors: | SUN Jun YU Xing-fu SUN Min LI Xiang-yang |
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| Institution: | 1.Institute of Tunnels and Underground Engineering, Tongji University, Shanghai 200092, China; 2.Academicians’ Research Studio, Shanghai Urban Construction Group, Shanghai 200023, China |
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| Abstract: | By utilizing the Shanghai Mid-ring Line-Beihong Road underground intersection traffic tunneling project which was constructed by using the pipe-roofing and large section box-culvert jacking trenchless excavation technology, as an engineering background, the authors give a systematic study on the numerical simulation of ground movement in the whole construction process of above-mentioned project by using the ANSYS&FLAC 3-D computer programming respectively. Secondly, by adopting the elastic foundation beam method, lab.-model experiment, and actual test data analogical techniques in situ separately, the authors give a comprehensive study on characteristics of the ground movement variations developed in construction of the large section box jacking with pipe-roofing trenchless techniques. Finally, as adopting the intelligent soft science method, the authors make a so-called “multi-stepped rolling” prediction study by using artificial neural networks (ANN) on surface ground settlement increasing with time around the project. The results have been provided to the design and construction companies for a valuable reference. |
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| Keywords: | pipe-roofing(screen) box-culvert jacking construction soil deformation during construction numerical analysis intelligent prediction |
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