首页|盾构双线隧道随机有限差分法地表变形研究

盾构双线隧道随机有限差分法地表变形研究

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研究目的:准确预测盾构双线隧道开挖引起的地表问题对保障线路周边安全十分重要.基于随机场理论框架,将非侵入式随机分析、有限差分法和响应面法有机耦合,建立非侵入式盾构双线隧道地表变形分析有限差分模型,系统研究土体参数与双线隧道间距对地表变形的影响特性.研究结论:(1)土体参数变异系数与双隧间距对地表变形特征曲线变化影响明显;(2)地表变形曲线特征与土层参数随机分布密切相关,由于低刚度占优效应与模量呈现对数正态分布;(3)相较蒙特卡罗法,PCE法的计算精度相近,精度随阶数增加而提升,计算效率优势突出;(4)本研究成果可为设计参数选取提供一种快速可靠简便方法,也可为类似工程提供参考.
Research on Surface Deformation of Twin Shield Tunneling by Random Finite Difference Method
Research purposes:Accurate prediction of surface problems caused by twin shield tunneling excavation is very important to ensure the safety of the surrounding area.We have organically coupled non-invasive stochastic analysis,the finite difference method,and the response surface method within the framework of random field theory to establish a finite difference model for analyzing surface deformation in non-invasive shield double-track tunnels.We systematically study the influence of soil parameters and the spacing of twin shield tunneling on surface deformation.Research conclusions:(1)The variation coefficient of soil parameters and the distance between double tunnels have obvious influence on the change of surface deformation characteristic curve.(2)The characteristics of surface deformation curve are closely related to the random distribution of soil parameters.Due to the dominant effect of low stiffness,the modulus shows a lognormal distribution.(3)Compared with the Monte Carlo method,the calculation accuracy is similar,and the accuracy increases with the increase of the order,and the calculation efficiency advantage is prominent.(4)The research results can provide a quick,reliable and simple method for the selection of design parameters,and can also provide reference for similar projects.

twin shield tunnelingrandom finite difference methodsurface deformationreliability theoryvariability of soil parameters

吴波、郑卫强、夏倩、朱若男、曾佳佳、王吾浩、徐世祥

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东华理工大学,南昌 330013

双线隧道 随机有限差分法 地表变形 可靠度 土体参数变异性

国家自然科学基金江西省"双千计划"创新领军人才项目江西省自然科学基金

52168055jxsq202010100120212ACB204001

2024

铁道工程学报
中国铁道学会 中国铁路工程总公司 中国中铁股份有限公司

铁道工程学报

CSTPCD北大核心
影响因子:0.996
ISSN:1006-2106
年,卷(期):2024.41(1)
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