文献类型：期刊文献

中文题名：基于三维点云建模的矿山边坡稳定性分析

英文题名：Stability analysis of mine slope based on 3D point cloud modeling

作者：岳西蒙[1,2];伍法权[1,2];沙鹏[1,2];陈宇坤[3]

机构：[1]绍兴文理学院土木工程学院,浙江绍兴312000;[2]浙江省岩石力学与地质灾害重点实验室,浙江绍兴312000;[3]中国建筑第二工程局有限公司,河南郑州450000

年份：2021

卷号：30

期号：4

起止页码：89

中文期刊名：中国矿业

外文期刊名：China Mining Magazine

收录：CSTPCD

基金：国家自然科学基金重点项目资助(编号:41831290);浙江省科技厅重点研发项目资助(编号:2020C03093)。

语种：中文

中文关键词：无人机摄影测量;三维地质建模;岩体质量量化;稳定性评价;矿山边坡

外文关键词：UAV photogrammetry;3D geological modeling;rock mass quality quantification;stability evaluation;mine slope

中文摘要：基于无人机摄影测量技术建立矿山边坡精细模型和C++编程实现岩体质量指标空间点云分布,预测边坡岩体稳定性。首先借助三维点云处理软件对模型裁切、去噪、平滑等处理,其次利用Rhinoceros曲面实体建模功能将地质体曲面模型实体化,然后结合Rhinoceros插件Griddle对三维地质体模型网格体划分,最后以FLAC3D软件可识别的*.f3grid文件导出。以绍兴越城区某矿山边坡为例,将模型导入FLAC3D软件计算。结果显示:该矿山岩体受节理影响最大位移位于两矿之间形似"鱼鳍"形状附近,最大位移3.15cm;"鱼鳍"形状附近岩体变形模量为1GPa,质量分数BQ为172.2~263.6,为Ⅴ~Ⅳ级的岩体质量,该区域岩体最大破环概率达到了43%,稳定性系数低于1.0,该计算结果与现场调查结论相吻合,预测了边坡潜在威胁区域,为相关调查研究提供参考依据。

外文摘要：Based on UAV photogrammetry technology,the fine model of mine slope is established,and C++programming is used to realize the spatial point cloud distribution of rock mass quality index and predict the stability of slope rock mass.Firstly,the 3D point cloud processing software is used to cut,denoise and smooth the model.Secondly,the Rhinoceros surface solid modeling function is used to materialize the geological body surface model.Then,combined with the rhinoceros plug-in griddle,the 3D geological body model mesh is divided.Finally,the*.f3grid file recognizable by FLAC 3D software is exported.Taking a mine slope in Shaoxing Yuecheng district as an example,the model is imported into FLAC 3D calculation.The results show that the maximum displacement of the rock mass affected by the joint is near the“fish fin”shape between the two mines,and the maximum displacement is 3.15 cm.The deformation modulus of the rock mass near the“fish fin”shape is 1 GPa,BQ is 172.2-263.6,which is about the quality of rock mass of grade V-IV.The maximum failure probability of rock mass in this area is 43%,and the stability coefficient is lower than 1.0.The calculation results are consistent with the field investigation conclusion,and the potential threat area of slope is predicted,which provides references for relevant investigation and research.