ISSN 1009-6248CN 61-1149/P 双月刊

主管单位:中国地质调查局

主办单位:中国地质调查局西安地质调查中心
中国地质学会

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    基于无人机航测与数值模拟的黄土崩塌几何特征及形成机制研究

    Research on the Geometric Characteristics and Formation Mechanism of Loess Collapse Based on UAV Aerial Survey and Numerical Simulation

    • 摘要: 针对黄土崩塌灾害形成机制复杂、传统调查手段精度不足的问题,本研究提出"空–地–数"协同分析方法,以2023年9月14日米脂县杨家沟镇产业园区发生的典型黄土崩塌体为研究对象,通过无人机航测技术获取厘米级分辨率的三维地形数据,重构崩塌体几何形态特征;结合现场地质调查揭示控制性结构面与地层组合特征。基于混合有限元–离散元数值模拟(Y-Mat)构建考虑真实几何形态与结构面分布的双尺度模型,通过模拟揭示:受地形与裂隙导水影响,坡脚遇水发生软化,强度降低,牵引上部黄土体产生形变,形变累计至一定程度,沿原有贯通性导水裂隙向下崩落,下落过程中部分黄土发生解体,堆积于坡脚一定范围内,形成大小不同的黄土块体和散土,对坡脚房屋产生冲击,造成房屋倒塌。研究成果可为黄土高原崩塌地质灾害演化机制研究提供多源数据融合分析方法与技术支撑。

       

      Abstract: In response to the complex formation mechanism of loess landslide disasters and the insufficient accuracy of traditional investigation methods, this study proposes a "space ground number" collaborative analysis method. The typical loess landslide body that occurred in Yangjiagou Town Industrial Park, Mizhi County on September 14, 2023, is taken as the research object. Three dimensional terrain data with centimeter level resolution is obtained through unmanned aerial vehicle aerial survey technology to reconstruct the geometric shape characteristics of the landslide body; Reveal the characteristics of controlling structural planes and stratigraphic combinations through on-site geological surveys. Based on the mixed finite element discrete element numerical simulation (Y-Mat), a dual scale model considering the real geometric shape and structural plane distribution is constructed. Through simulation, it is revealed that due to the influence of terrain and crack water conduction, the slope foot softens when encountering water, the strength decreases, and the upper loess body is pulled to deform. When the deformation accumulates to a certain extent, it collapses downwards along the original through water conduction cracks. During the falling process, some loess disintegrates and accumulates within a certain range of the slope foot, forming loess blocks and loose soil of different sizes, which impact the buildings at the slope foot and cause them to collapse. The research results can provide multi-source data fusion analysis methods and technical support for the study of the evolution mechanism of landslide geological hazards in the Loess Plateau.

       

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