基于无人机调查的露天矿滑坡运动特征数值研究  

Numerical study on movement characteristics of open-pit mine landslide based on UAV investigation

作　　者：何旭乾 卢才武[1] 李萌[1] 陈彦钰 闫雪颂 HE Xuqian;LU Caiwu;LI Meng;CHEN Yanyu;YAN Xuesong(School of Resources Engineering,Xi an University of Architecture and Technology,Xi an 710055,China)

机构地区：[1]西安建筑科技大学资源工程学院,陕西西安710055

出　　处：《中国矿业》2022年第7期88-95,共8页China Mining Magazine

基　　金：陕西省自然科学基础研究计划联合基金项目资助(编号:2019JLP-16);陕西省应急管理课题研究项目资助(编号:20YJ-10)。

摘　　要：本文模拟实验采用颗粒流离散元(PFC^(3D))对滑坡运动过程进行研究。首先,依托无人机调查建立滑坡高精度DEM并复现原始地形,以此构建三维离散数值模型;其次,以三轴压缩实验和BP神经网络实现岩土体宏细观参数的标定与反演,完成岩土体参数赋值;最后,对整个滑坡运动、堆积过程进行模拟,完成滑坡运动的反演与分析。研究结果表明:(1)通过无人机调查建立离散数值模型,以及将三轴试验同机器学习相结合,能够为PFC^(3D)的滑坡模拟提供一套完整的建模流程;(2)PFC^(3D)能够反映真实的滑坡运动过程,适用于滑坡的运动特征模拟。研究结果与实际情况基本一致,该研究方法能够为滑坡的定量分析提供有效的解决思路。The particle flow discrete element(PFC^(3D))is used to study the landslide movement process in the simulation experiment.Firstly,relying on UAV investigation to establish a high-precision DEM of the landslide and reproduce the original topography,to build a 3D discrete numerical model.Then,using a three-axis compression experiment with the BP neural network,the calibration and inversion of the macro and mesoscopic parameters of the rock and soil are realized,and the parameter assignment of the rock and soil is completed.Finally,the entire landslide movement and accumulation process are simulated,and the inversion and analysis of the landslide movement are completed.The results show that the establishment of discrete numerical models through UAV investigation and the combination of three-axis tests with machine learning can provide a complete modeling process for PFC^(3D) landslide simulation.PFC^(3D) can reflect the real the landslide movement process is suitable for the simulation of the movement characteristics of the landslide.The research results are basically consistent with the actual situation.This research method can provide effective solutions for the quantitative analysis of landslides.

关 键 词：露天矿滑坡 无人机调查 三维模型 离散流数值模拟 运动特征分析 

分 类 号：TD804[矿业工程—矿山开采]