Evaluation of geological conditions and clogging of tunneling using machine learning

IF 2.5 3区 工程技术 Q2 ENGINEERING, CIVIL
Xue-Dong Bai, W. Cheng, D. Ong, Ge Li
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引用次数: 23

Abstract

There frequently exists inadequacy regarding the number of boreholes installed along tunnel alignment. While geophysical imaging techniques are available for pre-tunnelling geological characterization, they aim to detect specific object (e.g., water body and karst cave). There remains great motivation for the industry to develop a real-time identification technology relating complex geological conditions with the existing tunnelling parameters. This study explores the potential for the use of machine learning-based data driven approaches to identify the change in geology during tunnel excavation. Further, the feasibility for machine learning-based anomaly detection approaches to detect the development of clayey clogging is also assessed. The results of an application of the machine learning-based approaches to Xi'an Metro line 4 are presented in this paper where two tunnels buried in the water-rich sandy soils at depths of 12-14 m are excavated using a 6.288 m diameter EPB shield machine. A reasonable agreement with the measurements verifies their applicability towards widening the application horizon of machine learning-based approaches.
利用机器学习评估地质条件和隧道堵塞
沿隧道路线安装的钻孔数量往往不足。虽然地球物理成像技术可用于隧道前地质表征,但其目的是检测特定物体(如水体和溶洞)。该行业仍然有很大的动力开发一种将复杂地质条件与现有隧道参数相关联的实时识别技术。本研究探索了使用基于机器学习的数据驱动方法来识别隧道开挖期间地质变化的潜力。此外,还评估了基于机器学习的异常检测方法用于检测粘土堵塞发展的可行性。本文介绍了基于机器学习的方法在西安地铁4号线的应用结果,在12-14 m的富水沙土中,使用直径为6.288 m的EPB盾构机开挖了两条隧道。与测量值的合理一致验证了它们对扩大基于机器学习的方法的应用范围的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Geomechanics and Engineering
Geomechanics and Engineering ENGINEERING, CIVIL-ENGINEERING, GEOLOGICAL
CiteScore
5.20
自引率
25.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: The Geomechanics and Engineering aims at opening an easy access to the valuable source of information and providing an excellent publication channel for the global community of researchers in the geomechanics and its applications. Typical subjects covered by the journal include: - Analytical, computational, and experimental multiscale and interaction mechanics- Computational and Theoretical Geomechnics- Foundations- Tunneling- Earth Structures- Site Characterization- Soil-Structure Interactions
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