近接小半径曲线顶管施工扰动数值研究

WEI Longhai,CHENG Yong,CHEN Weitao,LU Junfu

Sichuan Building Science（2012）

The Second Highway Survey | Hydro China Chengdu Engineering Corporation | School of Civil Engineering

Cited 3|Views13

Abstract

近接小半径曲线顶管工程中,顶管之间的相互扰动以及顶管施工对周围环境的影响等成为施工过程中必须关注的问题。港珠澳珠海侧接线工程拱北隧道开挖断面大(约328 m2),地质条件复杂,设计拟在隧道周边进行超前大顶管预支护。以该工程为基础,利用数值方法,对近接小半径曲线顶管的施工过程进行了数值模拟研究。研究结果表明:1)随着掘进环数的增加,各监测点的地层隆起量逐渐增大,且顶管掌子面距离监测断面越近,地层隆起变形越明显;2)后续顶管顶进初期,会引起前方邻接顶管正上方土体呈下沉趋势,而在后续顶管上方地层监测点的隆起量有所增加;随着后续顶管继续顶进,监测断面处各点的最大隆起量呈向右偏移态势,且其上方的地层隆起量大于先行顶管上方的土体;待后续顶管通过监测断面后,顶管上方的地层出现了一定的下沉;3)由于先行顶管施工完毕后,取消了推顶力,土体有一定的回弹,抵消了部分后续顶管接触面法向上抗力的作用效果,后续顶管施工对先行顶管施工在横向的影响不明显。

Translated text

Key words

close construction,construction disturbance,numerical simulation,pipe-jacking,short-radius curve

求助PDF

上传PDF

Bibtex

AI Read Science

AI Summary

AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.

Example

Background

Key content

Introduction

Methods

Results

Related work

Fund

Key content

Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Upload PDF to Generate Summary

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper