Analysis and prediction on soft ground deformation of a super-large shallow burried “pipe-roofing and box-culvert” jacking project under construction

SUN Jun; YU Xing-fu; SUN Min; LI Xiang-yang

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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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- Analysis and prediction on soft ground deformation of a super-large shallow burried “pipe-roofing and box-culvert” jacking project under construction
- Vol. 27, Issue 7期　刊出日, (2006)
- 作者机构：
  
  1. 同济大学隧道与地下工程研究所,上海,200092
  2. 上海城建集团院士研究室,上海,200092
- 作者简介：
- 基金信息：
- DOI：
  CLC： TU433
- Online First：19 November 2013，
  
  Published：2006
- 稿件说明：
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SUN Jun, YU Xing-fu, SUN Min, et al. Analysis and prediction on soft ground deformation of a super-large shallow burried “pipe-roofing and box-culvert” jacking project under construction[J]. 2006, 27(7期　刊出日).
DOI：

SUN Jun, YU Xing-fu, SUN Min, et al. Analysis and prediction on soft ground deformation of a super-large shallow burried “pipe-roofing and box-culvert” jacking project under construction[J]. 2006, 27(7期　刊出日). DOI：

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。

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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Academicians’ Research Studio,Shanghai Urban Construction Group

上海城建集团院士研究室

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