利用InSAR数据评估冲积矿床中双隧道引起的地面沉降

IF 6.9 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL
Serena Rigamonti , Alberto Previati , Giuseppe Dattola , Giovanni Battista Crosta
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引用次数: 0

摘要

在城市化密集的环境中进行隧道挖掘是一项重大的岩土工程挑战。可靠的设计预测、精确的监测以及对这些挑战的透彻理解,对于确保隧道和地表结构的安全性和稳定性至关重要。本研究调查分析了在冲积层中使用 EPB-TBM 进行双隧道开挖时引起的地面变形。分析基于通过欧洲地动服务(EGMS)InSAR 和现场测量收集的数据,结合了经验和分析方法,以及时间序列分解技术(主成分分析,PCA;独立成分分析,ICA)。这项研究的重点是开发一种新方法,用于盲目识别隧道沿线的隧道掘进机活动,然后使用修正的高斯函数进行有监督的沉降分析。通过对每个分析过的隧道横截面使用一致数量的测量点,并通过 "排除一个 "交叉验证来考虑不确定性,我们支持因挖掘第二条隧道而产生的非对称地面沉降。经回溯分析发现,平均体积损失为 0.33%(最大偏差为 0.18),参数 k 为 0.44(最大偏差为 0.23)。采用 PCA/ICA 技术隔离并量化了各种变形成分,如热效应、噪声和实际长期沉降。这提高了沉降预测的准确性,改善了对变形模式的理解和对土壤岩土参数的反向估计,并证明了 InSAR 数据在监测隧道诱发的地面变形、实现更准确的变形预测和更好的基础设施规划方面的潜力。最后,讨论了使用 InSAR 数据的优势和局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing twin tunnel-induced ground settlements in alluvial deposits by InSAR data
Tunnel excavation in densely urbanised environments presents significant geotechnical challenges. Reliable design predictions, precise monitoring, and a thorough understanding of these challenges are crucial for ensuring the safety and stability of tunnels and surface structures. This study investigates the analysis of ground deformations caused by twin tunnel excavation using an EPB-TBM in alluvial deposits. The analysis is based on data collected through the European Ground Motion Service (EGMS) InSAR and on-site measurements, incorporating both empirical and analytical methods, and time series decomposition techniques (Principal Component Analysis, PCA; Independent Component Analysis, ICA). A key focus of this research is the development of a novel approach for blind identification of TBM activities along the tunnel alignment, followed by a supervised settlement analysis using a modified Gaussian function. By using a consistent number of measurement points for each analysed tunnel cross section, and considering uncertainty by a Leave One Out Cross Validation, we support asymmetric ground settlement resulting from excavation of a second tunnel. The back analysed mean volume loss was found to be 0.33% (st.dev. 0.18), and parameter k was 0.44 (st.dev. 0.23). PCA/ICA techniques were employed to isolate and quantify various deformation components, such as thermal effects, noise, and actual long-term settlements. This enhances the accuracy of settlement predictions, improves the understanding of the deformation patterns and the back-estimation of soil geotechnical parameters, and demonstrates the potential of InSAR data for monitoring tunnel-induced ground deformation, and for attaining more accurate deformation predictions and better infrastructure planning. Finally, the advantages and limitations associated with the use of InSAR data are discussed.
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来源期刊
Engineering Geology
Engineering Geology 地学-地球科学综合
CiteScore
13.70
自引率
12.20%
发文量
327
审稿时长
5.6 months
期刊介绍: Engineering Geology, an international interdisciplinary journal, serves as a bridge between earth sciences and engineering, focusing on geological and geotechnical engineering. It welcomes studies with relevance to engineering, environmental concerns, and safety, catering to engineering geologists with backgrounds in geology or civil/mining engineering. Topics include applied geomorphology, structural geology, geophysics, geochemistry, environmental geology, hydrogeology, land use planning, natural hazards, remote sensing, soil and rock mechanics, and applied geotechnical engineering. The journal provides a platform for research at the intersection of geology and engineering disciplines.
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