doi:10.16186/j.cnki.1673-9787.2019090077

Received:2019/09/19

Revised:2019/12/24

Published:2021/01/15

Structural feature recognition and motion law simulation of dangerousrock mass based on UAV and Rockfall

XIE Jin, YANG Genlan, QIN Yigen, LIU Bangyu

College of Resources and Environmental Engineering， Guizhou University， Guvyang 550025 ， Guizhou， China

Abstract:For the characteristics of precipitous location and strong concealment of dangerous rock mass of high- steep slope in Chishui red bed area， the identification of dangerous rock has always been a huge problem for human engineering construction. In order to solve the problem that it is difficult to carry out the investigation of dangerous rock mass in the study area， the author used UAV tilt photography technology to obtain the photos with spatial geographic coordinates. A high-resolution digital surface model （ DSM ） of Tangjiawuji slope was constructed by Agisoft PhotoScan software. Based on the principle of a plane being be determined by three points which were not collinear， the spatial point cloud coordinates of the structural plane space were extracted in the model to calculate the occurrence of structural plane. The structural characteristics of the dangerous rock mass were extracted and four typical dangerous rock masses were identified. The volume of the dangerous rock mass was measured based on the three-dimensional model， and the qualitative analysis showed that the dangerous rock mass was in an unstable state. Numerical simulating software Rockfall was used to simulate the characteristics of the collapse movement of four dangerous rock masses. The results showed that it would damage the houses and roads at the foot of slope after the collapse of the dangerous rock mass. The research results had important reference value for the investigation， stability evaluation and influence range research of the dangerous rock mass of high-steep slope.

Key words:dangerous rock mass;unmanned aerial vehicle;high-resolution digital surface model;collapse;stereographic projection;Rockfall software

 基于无人机与Rockfall的危岩体结构特征识别与运动规律模拟_谢金.pdf