软土中盾构机姿态调整导致超挖间隙的动态预测

IF 8.2 1区 工程技术 Q1 ENGINEERING, CIVIL Underground Space Pub Date : 2023-11-10 DOI:10.1016/j.undsp.2023.09.004
Wenyu Yang , Junjie Zheng , Rongjun Zhang , Sijie Liu , Wengang Zhang
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引用次数: 0

摘要

对地面变形进行概率分析已成为估算和控制盾构隧道施工风险的一种趋势。间隙参数被认为是估算软土隧道工程地面损失的有效工具。更具体地说,ω 是一个间隙参数分量,定义为由于盾构机姿态变化而导致的超挖(或不足),可能会对地面损失的不确定性产生较大影响。然而,现有的 ω 不确定性表征方法存在一些局限性,无法解释相关参数之间的不确定相关性。因此,为了更好地表征 ω 的不确定性,本研究开发了多元概率分布,并提出了一种动态预测方法。为实现这一目标,本文利用昆明地铁 5 号线龙庆路至白云路盾构区间的 1523 环现场数据,收集了包括施工、地层和姿态参数在内的 44 个参数,形成数据库。根据方差滤波法、互信息法和相关系数值,将原有的 44 个参数缩减为 10 个主要参数,分别为单位重量、千斤顶行程(A、B、C、D 组)、顶推压力(A、C 组)、硐室压力、旋转速度和总力。多变量概率分布是根据约翰逊分布系统构建的。此外,通过 200 万次模拟,该分布在解释 ω 与其他参数之间的成对相关性方面得到了令人满意的验证。最后,该分布被用作先验分布,在已知任何一组相关参数的情况下更新 ω 的边际分布。3 个盾构隧道案例的现场数据进一步验证了动态预测的性能。
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Dynamic prediction of over-excavation gap due to posture adjustment of shield machine in soft soil

The probability analysis of ground deformation is becoming a trend to estimate and control the risk brought by shield tunnelling. The gap parameter is regarded as an effective tool to estimate the ground loss of tunnelling in soft soil. More specifically, ω, which is a gap parameter component defined as the over (or insufficient) excavation due to the change in the posture of the shield machine, may contribute more to the uncertainty of the ground loss. However, the existing uncertainty characterization methods for ω have several limitations and cannot explain the uncertain correlations between the relevant parameters. Along these lines, to better characterize the uncertainty of ω, the multivariate probability distribution was developed in this work and a dynamic prediction was proposed for it. To attain this goal, 1 523 rings of the field data coming from the shield tunnel between Longqing Road and Baiyun Road in Kunming Metro Line 5 were utilized and 44 parameters including the construction, stratigraphic, and posture parameters were collected to form the database. According to the variance filter method, the mutual information method, and the value of the correlation coefficients, the original 44 parameters were reduced to 10 main parameters, which were unit weight, the stoke of the jacks (A, B, C, and D groups), the pressure of the pushing jacks (A, C groups), the chamber pressure, the rotation speed, and the total force. The multivariate probability distribution was constructed based on the Johnson system of distributions. Moreover, the distribution was satisfactorily verified in explaining the pairwise correlation between ω and other parameters through 2 million simulation cases. At last, the distribution was used as a prior distribution to update the marginal distribution of ω with any group of the relevant parameters known. The performance of the dynamic prediction was further validated by the field data of 3 shield tunnel cases.

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来源期刊
Underground Space
Underground Space ENGINEERING, CIVIL-
CiteScore
10.20
自引率
14.10%
发文量
71
审稿时长
63 days
期刊介绍: Underground Space is an open access international journal without article processing charges (APC) committed to serving as a scientific forum for researchers and practitioners in the field of underground engineering. The journal welcomes manuscripts that deal with original theories, methods, technologies, and important applications throughout the life-cycle of underground projects, including planning, design, operation and maintenance, disaster prevention, and demolition. The journal is particularly interested in manuscripts related to the latest development of smart underground engineering from the perspectives of resilience, resources saving, environmental friendliness, humanity, and artificial intelligence. The manuscripts are expected to have significant innovation and potential impact in the field of underground engineering, and should have clear association with or application in underground projects.
期刊最新文献
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