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浅埋偏压隧道洞口段施工风险的定量分析

Quantitative analysis of construction risks in shallowly buried biased tunnel portal section.

作者信息

Wu Bo, Zhu Ruonan, Wang Wuhao, Zeng Jiajia, Liu Cong

机构信息

School of Civil and Architecture Engineering, East China University of Technology, Nanchang, 330013, China.

School of Water Resources and Environmental Engineering, East China University of Technology, Nanchang, 330013, China.

出版信息

Sci Rep. 2024 Oct 6;14(1):23246. doi: 10.1038/s41598-024-73890-y.

DOI:10.1038/s41598-024-73890-y
PMID:39370433
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11456594/
Abstract

To address the prominent problem of collapse instability in shallow buried soft ground tunnels, a non-invasive stochastic finite element method was introduced. Taking Fujian Puyan Wenbishan tunnel as the background project, ABAQUS finite element software was used to analyze the tunnel excavation mechanics and parameter sensitivity. And developed the software interface program based on Python to output explicit limit state equation for the key mechanical indexes of the tunnel, so as to evaluate the tunnel reliability under different excavation methods, quantitatively. Study results show a significant improvement in efficiency and accuracy when calculating the probability of failure in tunnel excavation by the non-invasive stochastic finite element method. The maximum displacement monitoring points for the Wenbishan tunnel portal section were all vault settlement, with displacements of 33.6 mm, 30.2 mm, and 25.3 mm, respectively, using the annular retained core soil method, single sidewall guide pit and double sidewall guide pit method, with probabilities of failure of 36.11%, 28.03%, and 20.02%. It is found that the reliability of the tunnel is mainly determined by the geotechnical weight, elastic modulus and cohesion of the weak sandy soil layer, which can provide ideas for this type of engineering researches.

摘要

为解决浅埋软土地层隧道塌方失稳这一突出问题,引入了一种非侵入式随机有限元方法。以福建莆炎文笔山隧道为背景工程,利用ABAQUS有限元软件分析隧道开挖力学及参数敏感性。并基于Python开发软件接口程序,输出隧道关键力学指标的显式极限状态方程,从而定量评估不同开挖方法下隧道的可靠性。研究结果表明,采用非侵入式随机有限元方法计算隧道开挖失效概率时,效率和精度有显著提高。文笔山隧道洞口段最大位移监测点均为拱顶沉降,采用环形留核心土法、单侧壁导坑法和双侧壁导坑法时,位移分别为33.6mm、30.2mm和25.3mm,失效概率分别为36.11%、28.03%和20.02%。研究发现,隧道的可靠性主要由软弱砂土层的岩土重度、弹性模量和黏聚力决定,可为这类工程研究提供思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4034/11456594/9dddf8537389/41598_2024_73890_Fig12_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4034/11456594/1a565d26af09/41598_2024_73890_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4034/11456594/76bb1529da41/41598_2024_73890_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4034/11456594/9aa97662c7d9/41598_2024_73890_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4034/11456594/d46d24889596/41598_2024_73890_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4034/11456594/25a2e18d6f66/41598_2024_73890_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4034/11456594/daf1140c9d20/41598_2024_73890_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4034/11456594/b0ab6bf2a9b8/41598_2024_73890_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4034/11456594/c01af79eb278/41598_2024_73890_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4034/11456594/cc3a6982e6e8/41598_2024_73890_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4034/11456594/db744d7b6a79/41598_2024_73890_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4034/11456594/823fe2addd8c/41598_2024_73890_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4034/11456594/9dddf8537389/41598_2024_73890_Fig12_HTML.jpg

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本文引用的文献

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Undrained stability of braced excavations in clay considering the nonstationary random field of undrained shear strength.考虑不排水抗剪强度非平稳随机场的黏土中支护基坑的不排水稳定性
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