Cliff face rock slope stability analysis based on unmanned arial vehicle (UAV) photogrammetry

Rock cliff faces are mostly avoided in rock engineering research, especially where the scale of the slope exceeds the scale of fracturing present in the rock mass. The research to understand the rock cliff face joints plays an important role in slope engineering. This paper presents a rock block ide...

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Published inGeomechanics and geophysics for geo-energy and geo-resources. Vol. 5; no. 4; pp. 333 - 344
Main Authors Wang, Shuhong, Ahmed, Zulkifl, Hashmi, Muhammad Zaffar, Pengyu, Wang
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.12.2019
Springer Nature B.V
Subjects
Aerial photography
Algorithms
Analysis
Bundle adjustment
Cliffs
Computer software
Energy
Engineering
Engineering research
Environmental Science and Engineering
Foundations
Geoengineering
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Hydraulics
Joints (timber)
Original Article
Photogrammetry
Rock masses
Rocks
Slope stability
Stability analysis
Three dimensional models
Unmanned aerial vehicles
Bundle adjustment method
Rock cliff face
UAV photogrammetry
RANSAC algorithm
Block theory
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Summary:Rock cliff faces are mostly avoided in rock engineering research, especially where the scale of the slope exceeds the scale of fracturing present in the rock mass. The research to understand the rock cliff face joints plays an important role in slope engineering. This paper presents a rock block identification method based on unnamed aerial vehicle photogrammetry and its computer implementation of Cliff face rock, Fort Munro Pakistan. An advance bundle adjustment method was used to build the real three-dimensional (3D) surface model of the rock mass. Later, random sample consensus algorithm was used to search the structural planes in cloud point model. A computer program, geotechnical structure and model analysis (GeoSMA-3D) was developed to solve the engineering problems and to verify the example. The program confirmed the efficiency of the theory in dealing with complex surface modelling and cliff face rocky slope stability analysis. The approach presented can be applied as a general guiding design principle for cliff face rock slope.
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ISSN:2363-8419
2363-8427
DOI:10.1007/s40948-019-00107-2