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

被引：38

作者：

Wang, Shuhong ^{[1
]}

Ahmed, Zulkifl ^{[1
]}

Hashmi, Muhammad Zaffar ^{[2
]}

Wang Pengyu ^{[1
]}

机构：

[1] Northeastern Univ, Sch Resource & Civil Engn, Shenyang 110819, Liaoning, Peoples R China

[2] COMSATS Univ Islamabad, Dept Meteorol, Islamabad, Pakistan

来源：

GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES | 2019年 / 5卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Rock cliff face; Block theory; Bundle adjustment method; RANSAC algorithm; UAV photogrammetry;

D O I：

10.1007/s40948-019-00107-2

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页码：333 / 344

页数：12

共 22 条

[11]

Remondino F, 2011, INT ARCH PHOTOGRAMM, V38-1, P25

[12]

Sauerbier M, 2010, INT ARCH PHOTOGRAMM, V38, P526

[13] Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system [J].

Siebert, Sebastian ;

Teizer, Jochen .

AUTOMATION IN CONSTRUCTION, 2014, 41 :1-14

[14] An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds [J].

Turner, Darren ;

Lucieer, Arko ;

Watson, Christopher .

REMOTE SENSING, 2012, 4 (05) :1392-1410

[15]

Ulusay R, 2015, PRESENT FUTURE ROCK, P1

[16] Advanced discretization of rock slope using block theory within the framework of discontinuous deformation analysis [J].

Wang, Shuhong ;

Huang, Runqiu ;

Ni, Pengpeng ;

Jeon, Seokwon .

GEOMECHANICS AND ENGINEERING, 2017, 12 (04) :723-738

[17] Spatial characterization of joint planes and stability analysis of tunnel blocks [J].

Wang, Shuhong ;

Ni, Pengpeng ;

Guo, Mudan .

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2013, 38 :357-367

[18] APPLICATION OF BLOCK THEORY MODELING ON SPATIAL BLOCK TOPOLOGICAL IDENTIFICATION TO ROCK SLOPE STABILITY ANALYSIS [J].

Wang, Shuhong ;

Ni, Pengpeng .

INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS, 2014, 11 (01)

[19] UAV photogrammetry for monitoring changes in river topography and vegetation [J].

Watanabe, Yutaka ;

Kawahara, Yoshihisa .

12TH INTERNATIONAL CONFERENCE ON HYDROINFORMATICS (HIC 2016) - SMART WATER FOR THE FUTURE, 2016, 154 :317-325

[20] A generalized procedure to identify three-dimensional rock blocks around complex excavations [J].

Yu, Q. ;

Ohnishi, Y. ;

Xue, G. ;

Chen, D. .

INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2009, 33 (03) :355-375

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