岩体结构控制着岩质斜坡的变形破坏模式,但传统的结构面信息调查方法存在危险性高、难度大的缺陷。为安全、高效地获取斜坡岩体结构信息,利用无人机摄影技术开展高陡岩质斜坡的测量,构建斜坡岩体的3D点云模型,识别结构面的产状、间距、迹长等岩体结构信息。对湖北秭归卡门子湾滑坡区调查验证,斜坡共发育6组优势结构面,平均间距为0.46~1.01 m,平均迹长为0.82~12.57 m;无人机3D点云获取的岩体结构信息精度满足要求,方法高效、可行;获得的岩体结构信息为斜坡岩体结构模型建立和稳定性评价等工作提供了可靠的数据基础。
Abstract
To address the limitations of traditional discontinuity surveys,which are often hazardous and challenging,we deployed Unmanned Aerial Vehicle (UAV) photography to capture data on high and steep rock slopes safely and efficiently.This approach enabled us to construct a 3D point cloud model detailing the rock mass structure of the slope.Through analysis of the 3D point cloud,we extracted critical parameters such as the orientation,spacing,and persistence of rock discontinuities.Subsequently,we generated a Discrete Fracture Network (DFN) model for the slope’s rock mass structure.Field validation was conducted on a precipitous rock slope near the Kamenziwan landslide in Zigui,Hubei Province.The discontinuity data retrieved from the UAV-derived 3D point cloud demonstrated sufficient accuracy,thereby proving the approach’s effectiveness and practicality.The slope’s six clusters of discontinuities had average spacings ranging from 0.46 m to 1.01 m and extents from 0.82 m to 12.57 m.The obtaied data of discontinuities provides reliable base for rock structural model establishment and slope stability evaluation.
关键词
高陡斜坡 /
无人机点云 /
结构面产状 /
结构面间距 /
结构面迹长
Key words
high and steep rock slope /
3D point cloud obtained from UAV survey /
orientation of discontinuities /
spacing between discontinuities /
ductility of discontinuities
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