Stability evaluation of columnar perilous rock in the Three Gorges Reservoir area based on UAV tilt photography

IF 4.2 2区 工程技术 Q3 ENGINEERING, ENVIRONMENTAL
Linfeng Wang, Ning Tang, Hui Jiang, Huafeng Deng, Zhizhong Yang, Bo Cai
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Abstract

The columnar perilous rocks (CPR) along the Three Gorges Reservoir area are characterized by noncontactless, inaccessible, and large volume, potentially threaten the safety of the Yangtze River Golden Channel. To this end, based on point cloud data, a new algorithm for discontinuity plane identification and parameter extraction is proposed, which forms a new framework for stability analysis of CPR. This algorithm overcomes the disadvantage of large errors caused by fixed K values in KNN algorithm through adaptive K values, and utilizes coplanarity to detect plane identification performance. Based on the spatial relationship between discontinuity planes orientations and normal vectors, as well as the geometric relationship between the trace length and spacing in point cloud space, formulas for calculating the orientations, trace length, and spacing are obtained. The effectiveness of the algorithm was verified using point cloud data from Zengziyan CPR, with a point cloud pass rate of 99.6%. Five sets of discontinuity planes were identified, which were basically consistent with the actual surveyed discontinuity planes. The maximum errors in identifying trace length and spacing were 7 cm and 8 cm, respectively. Finally, this framework is applied to the Longmenzhai CPR in the Three Gorges Reservoir area. The results indicate that the maximum identification error of orientation is 3.9°. The maximum relative errors of trace length and spacing recognition are 1.53% and 1.51% respectively, and the error values are both in centimeter level. Through kinematic analysis and safety factor calculation, it is believed that there is a possibility of sliding failure and compression-shear failure in Longmenzhai CPR. The new framework for CPR investigation can accurately identify discontinuity planes, extract parameter information, and determine the stable state of CPR, which can provide reference for similar investigations.

基于无人机倾斜摄影的三峡库区柱状危岩稳定性评价
三峡库区柱状危岩具有非接触、不可接近、体积大等特点,对长江黄金航道的安全构成潜在威胁。为此,提出了一种基于点云数据的间断面识别和参数提取新算法,形成了一种新的CPR稳定性分析框架。该算法通过自适应K值克服了KNN算法中K值固定误差大的缺点,并利用共平面性检测平面识别性能。根据不连续平面方向与法向量的空间关系以及点云空间中轨迹长度与间距的几何关系,得到了点云空间中方向、轨迹长度和间距的计算公式。利用增子岩CPR的点云数据验证了算法的有效性,点云通过率为99.6%。识别出5组不连续面,与实测的不连续面基本一致。识别迹长和间距的最大误差分别为7 cm和8 cm。最后,将该框架应用于三峡库区龙门寨高速公路。结果表明,定位识别误差最大可达3.9°。迹长和间距识别的最大相对误差分别为1.53%和1.51%,误差值均为厘米级。通过运动学分析和安全系数计算,认为龙门寨CPR存在滑动破坏和压剪破坏的可能性。新的心肺复苏调查框架能够准确识别不连续面,提取参数信息,确定心肺复苏的稳定状态,可为类似调查提供参考。
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来源期刊
Bulletin of Engineering Geology and the Environment
Bulletin of Engineering Geology and the Environment 工程技术-地球科学综合
CiteScore
7.10
自引率
11.90%
发文量
445
审稿时长
4.1 months
期刊介绍: Engineering geology is defined in the statutes of the IAEG as the science devoted to the investigation, study and solution of engineering and environmental problems which may arise as the result of the interaction between geology and the works or activities of man, as well as of the prediction of and development of measures for the prevention or remediation of geological hazards. Engineering geology embraces: • the applications/implications of the geomorphology, structural geology, and hydrogeological conditions of geological formations; • the characterisation of the mineralogical, physico-geomechanical, chemical and hydraulic properties of all earth materials involved in construction, resource recovery and environmental change; • the assessment of the mechanical and hydrological behaviour of soil and rock masses; • the prediction of changes to the above properties with time; • the determination of the parameters to be considered in the stability analysis of engineering works and earth masses.
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