3D Distinct Element Back Analysis Based on Rock Structure Modelling of SfM Point Clouds:The Case of the 2019 Pinglu Rockfall of Kaili,China  

作　　者：Zhen Ye Qiang Xu Qian Liu Xiujun Dong Feng Pu 

机构地区：[1]State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology,Chengdu 610059,China [2]Institute of Applied Geosciences,Graz University of Technology,Graz 8010,Austria

出　　处：《Journal of Earth Science》2024年第5期1568-1582,共15页地球科学学刊（英文版）

基　　金：supported by the National Innovation Research Group Science Fund(No.41521002);the National Key Research and Development Program of China(No.2018YFC1505202)。

摘　　要：This paper introduces the use of point cloud processing for extracting 3D rock structure and the 3DEC-related reconstruction of slope failure,based on a case study of the 2019 Pinglu rockfall.The basic processing procedure involves:(1)computing the point normal for HSV-rendering of point cloud;(2)automatically clustering the discontinuity sets;(3)extracting the set-based point clouds;(4)estimating of set-based mean orientation,spacing,and persistence;(5)identifying the block-forming arrays of discontinuity sets for the assessment of stability.The effectiveness of our rock structure processing has been proved by 3D distinct element back analysis.The results show that Sf M modelling and rock structure computing provides enormous cost,time and safety incentives in standard engineering practice.

关 键 词：unmanned aerial vehicle(UAV) 3D point cloud rock structure KARST discontinuity sets engineeringgeology 

分 类 号：P694[天文地球—地质学] P225.2