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Formation mechanism and risk assessment of unstable rock mass at the Yumenkou tunnel entrance, Shanxi province, China

机译:山西省山西省Yumenkou隧道入口不稳定岩体的形成机制及风险评估

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摘要

The Yumenkou tunnel is located on the left bank of the Yellow River on the border between Shanxi and Shaanxi provinces, China. It is connected to the Longmen Yellow River Bridge of the Menghua railway. Many unstable rock masses have developed on the cliff above the tunnel entrance, threatening the construction and operation of the tunnel and the bridge. Based on a high-precision three-dimensional (3D) digital terrain model obtained by unmanned air vehicle (UAV) photogrammetry, information of the structural surface which controls the stability of the rock mass in the study area was obtained by manual identification and extraction. We combined the UAV imaging with field survey data to obtain the spatial distribution, shape, scale, and potential failure modes of the unstable rock masses. A 3D numerical model of the unstable rock mass and surface morphology was constructed using a 3D discrete element method. The 3D path and impact energy of the moving unstable rock mass were analyzed. Based on the lithology, topography, structural surface, and other factors, three types of potential rock failure modes were identified in the study area: sliding, toppling, and falling. Differential weathering and the structure plane and stress-unloading cracks are two main factors affecting the stability of the unstable rock mass. According to the result of 3D discrete element method, once the unstable rock masses fail, about 50% of which might hit the portal of the tunnel, and the maximum rebound height at the portal would be about 1.2 m. To prevent such catastrophic failure, active protective net was recommend at each unstable rock zone, and retaining wall with a height of 5 m behind the portal. The results of this study confirm the effectiveness of a UAV photogrammetry-based method for reliable and cost-effective engineering geological surveying of unstable rock mass in complex terrain.
机译:Yumenkou隧道位于黄河的左岸,山西和陕西省,中国之间的边界。它连接到洋化铁路的龙门黄河桥。许多不稳定的岩石群体已经在隧道入口处的悬崖上开发,威胁到隧道和桥梁的构造和运行。基于由无人驾驶飞行器(UAV)摄影测量获得的高精度三维(3D)数字地形模型,通过手动识别和提取获得了控制研究区域中岩体稳定性的结构表面的信息。我们将UAV成像与现场调查数据组合以获得不稳定岩体的空间分布,形状,尺度和潜在故障模式。使用3D离散元件方法构建不稳定岩体和表面形态的3D数值模型。分析了移动不稳定岩体的3D路径和冲击能量。基于岩性,地形,结构表面和其他因素,在研究区域中确定了三种类型的潜在岩石破坏模式:滑动,倒装和落下。差分风化和结构平面和应力卸载裂缝是影响不稳定岩体稳定性的两个主要因素。根据3D离散元件方法的结果,一旦不稳定的岩石肿块失败,其中约50%可能撞到隧道的门户网站,门户网站的最大反弹高度约为1.2米。为了防止这种灾难性故障,在每个不稳定的摇滚区推荐主动保护网,并在门户后面的高度为5米的挡土墙。本研究的结果证实了基于UAV摄影测量的方法的有效性,以实现复杂地形中不稳定岩体的可靠且经济效益的工程地质测量。

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  • 作者单位

    North China Univ Water Resources & Elect Power Zhengzhou Peoples R China|Henan Key Lab Geotech & Struct Engn Zhengzhou Peoples R China|Collaborat Innovat Ctr Water Resources Efficient Zhengzhou 450045 Peoples R China;

    Chinese Acad Sci Inst Mt Hazards & Environm Chengdu 610041 Peoples R China;

    North China Univ Water Resources & Elect Power Zhengzhou Peoples R China|Henan Key Lab Geotech & Struct Engn Zhengzhou Peoples R China|Collaborat Innovat Ctr Water Resources Efficient Zhengzhou 450045 Peoples R China;

    North China Univ Water Resources & Elect Power Zhengzhou Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Formation mechanism; Risk assessment; Rockfall; Unmanned aerial vehicle; Laser scanning;

    机译:形成机制;风险评估;岩石;无人驾驶飞行器;激光扫描;
  • 入库时间 2022-08-18 22:57:08

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