Integration of UAV photogrammetry and kinematic analysis for rock slope stability assessment


Author : Sharan Kumar Nagendran, Mohd Ashraf Mohamad Ismail, Wen Yan TungPublication : Bulletin of the Geological Society of MalaysiaNo. : 67Page : 105-111Year : 2019DOI : DOI : https://doi.org/10.7186/bgsm67201913


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Bulletin of the Geological Society of Malaysia, Volume 67, June 2019, pp. 105 – 111

Integration of UAV photogrammetry and kinematic analysis for rock slope stability assessment

Sharan Kumar Nagendran, Mohd Ashraf Mohamad Ismail*, Wen Yan Tung
School of Civil Engineering, Engineering Campus, Universiti Sains Malaysia, Penang, Malaysia
*Corresponding author email address: ceashraf@usm.my

Abstract: Rock slope excavation is unpreventable due to some location of infrastructure development must cut through
rock hills. Therefore, an appropriate rock slope characterization should be carried out in order to prevent any possible
failure. Recent advancement of drone technology has enabled the preliminary assessment on geotechnical characterization
to be done in a short period of time. This paper mainly focuses on extraction of orientation and discontinuity features
from drone imagery through the application of photogrammetry for rock slope stability assessment. Kinematic analysis
is a method used to analyze the various modes of potential rock slope failures such as planar sliding, wedge sliding and
flexural toppling that occur due to the presence of unfavorable oriented discontinuities. A drone was used to capture images
from aerial and sideways, then imported to photogrammetry software to be processed. The output of the photogrammetry
which is the dense cloud point would then be imported into a cloud compare software for the kinematic analysis. The
orientations of discontinuities that has been extracted from the rock slope using CloudCompare software was imported into
Rocscience Dips Version 7.0 software. The kinematic analysis feature of this software provides a quick check for various
rock slope stability failure modes on a stereonet plot, such as planar sliding, wedge sliding and flexural toppling with
just input on slope orientation, friction angle and lateral limits, before selecting the failure modes. By using discontinuity
data, the kinematic analysis shows that the rock slope has 15.40% risk for planar sliding, 7.16% for wedge sliding and
1.33% for flexural toppling. Hence, the use of UAV as a tool in rock slope characterization is reliable because it can
provide valuable preliminary information on rock slope stability assessment.

Keywords: UAV photogrammetry, rock slope stability, kinematic analysis, sensitivity analysis

DOI : https://doi.org/10.7186/bgsm67201913