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基于无人机3D点云的高陡斜坡岩体结构特征

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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.
Rock Mass Structure Model of High and Steep Slope Based on Unmanned Aerial Vehicle 3D Point Cloud
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 land-slide 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 discon-tinuities 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.

high and steep rock slope3D point cloud obtained from UAV surveyorientation of discontinuitiesspacing between discontinuitiesductility of discontinuities

宋琨、仪政、宋琪

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三峡大学 防灾减灾湖北省重点实验室,湖北宜昌 443002

三峡大学 水利与环境国家级实验教学示范中心,湖北宜昌 443002

高陡斜坡 无人机点云 结构面产状 结构面间距 结构面迹长

国家自然科学基金

42077239

2024

长江科学院院报
长江科学院

长江科学院院报

CSTPCD北大核心
影响因子:0.618
ISSN:1001-5485
年,卷(期):2024.41(5)