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3D identification and stability analysis of key surface blocks of rock slope

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Abstract

Complicated geological structures make it difficult to analyze the stability of rock slopes, such as faults, weak intercalated layers or joint fissures. Based on 3D geological modeling and surface block identifying methods, an integrated methodology framework was proposed and realized to analyze the stability of surface blocks in rock slopes. The surface blocks cut by geological structures, fissures or free faces could be identified subjected to the four principles of closure, completeness, uniqueness and validity. The factor of safety(FOS)of single key block was calculated by the limit equilibrium method. If there were two or more connected blocks, they were defined as a block-group. The FOS of a block-group was computed by the Sarma method. The proposed approach was applied to an actual rock slope of a hydropower project, and some possible instable blocks were demonstrated and analyzed visually. The obtained results on the key blocks or block-groups provide essential information for determining potential instable region of rock slopes and designing effective support scheme in advance.

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References

  1. Goodman R E. Block theory and its application[J]. Geotechnique, 1995, 45(3): 383–423.

    Article  Google Scholar 

  2. Mito Y, Kikuchi K, Hirano I et al. Stochastic block theory for initial support decision of large slope[J]. International Journal of Rock Mechanics and Mining Sciences, 1997, 34(3/4): 202. e1-e19.

    Google Scholar 

  3. Norris R D, Norris J M, Lorenz R D et al. Sliding rocks on Racetrack Playa, Death Valley National Park: First observation of rocks in motion[J]. PLoS One, 2014, 9(8): e105948.

    Article  Google Scholar 

  4. Warburton P M. Vector stability analysis of an arbitrary polyhedral rock block with any number of free faces[J]. International Journal of Rock Mechanics and Mining Science, 1981, 18(5): 415–427.

    Article  Google Scholar 

  5. Goodman R E, Shi G H. Block Theory and Its Application to Rock Engineering[M]. Prentice-Hall, New Jersey, USA, 1985.

    Google Scholar 

  6. Lee I M, Park J K. Stability analysis of tunnel key block: A case study[J]. Tunnelling and Underground Space Technology, 2000, 15(4): 453–462.

    Article  Google Scholar 

  7. Liu J, Li Z K, Zhang Z Y. Stability analysis of block in the surrounding rock mass of a large underground excavation[J]. Tunnelling and Underground Space Technology, 2004, 19(1): 35–44.

    Article  Google Scholar 

  8. Chen S H, Wang W M, Zheng H F et al. Block element method for the seismic stability of rock slope[J]. Journal of Geotechnical and Geoenvironmental Engineering, 2010, 136(12): 1610–1617.

    Article  Google Scholar 

  9. Turanboy A. A geometric approach for natural rock blocks in engineering structures[J]. Computational Geosciences, 2010, 14(4): 26–38.

    Article  MATH  Google Scholar 

  10. Kulatilake P H S W, Wang L Q, Tang H M et al. Evaluation of rock slope stability for Yujian River Dam Site by kinematic and block theory analyses[J]. Computers and Geotechnics, 2011, 38(6): 846–860.

    Article  Google Scholar 

  11. Brideau M A, Pedrazzini A, Stead D et al. Threedimensional slope stability analysis of South Peak, Crowsnest Pass, Alberta, Canada[J]. Landslides, 2011, 8(2): 139–158.

    Article  Google Scholar 

  12. Li M C, Liu J, Liu F et al. Method for identifying and analyzing 3D surface blocks of rock mass structures[J]. Journal of Geotechnical and Geoenvironmental Engineering, 2013, 139(10): 1756–1764.

    Article  Google Scholar 

  13. Jafari A, Khishvand M, Rahami H. Developing an algorithm for reconstruction blocky systems in discontinuous media: Three-dimensional analysis[J]. International Journal for Numerical and Analytical Methods in Geomechanics, 2013, 37(7): 661–684.

    Article  Google Scholar 

  14. Zhang Z X, Lei Q H. Object-oriented modeling for threedimensional multi-block systems[J]. Computers and Geotechnics, 2013, 48: 208–227.

    Article  Google Scholar 

  15. Wang S H, Ni P P. Application of block theory modeling on spatial block topological identification to rock slope stability analysis[J]. International Journal of Computational Methods, 2014, 11(1): 1350044.

    Article  MathSciNet  Google Scholar 

  16. Zhang Q H. Advances in three-dimensional block cutting analysis and its applications[J]. Computers and Geotechnics, 2015, 63: 26–32.

    Article  Google Scholar 

  17. Li M C, Han Y Q, Wang G et al. 3D multiscale integrated modeling approach of complex rock mass structures[J]. Mathematical Problems in Engineering, 2014, DOI 10. 1155/2014/867542.

    Google Scholar 

  18. Giani G P. Rock Slope Stability Analysis[M]. Balkema Publishers, Netherlands, 1992.

    Google Scholar 

  19. Sarma S K. Stability analysis of embankments and slopes[J]. Journal of the Geotechnical Engineering Division, 1979, 105(12): 1511–1524.

    Google Scholar 

  20. Bafghi A R Y, Verdel T. Sarma-based key-group method for rock slope reliability analyses[J]. International Journal for Numerical and Analytical Methods in Geomechanics, 2005, 29(10): 1019–1043.

    Article  MATH  Google Scholar 

  21. Sun J P, Ning Y J, Zhao Z Y. Comparative study of Sarma's method and the discontinuous deformation analysis for rock slope stability analysis[J]. Geomechanics and Geoengineering, 2011, 6(4): 293–302.

    Article  Google Scholar 

  22. Zhong D H, Li M C, Song L G et al. Enhanced NURBS modeling and visualization for large 3D geoengineering applications: An example from the Jinping first-level hydropower engineering project, China[J]. Computers & Geosciences, 2006, 32(9): 1270–1282.

    Article  Google Scholar 

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Authors and Affiliations

  1. State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, 300072, China

    Mingchao Li  (李明超) & Sibao Zhou  (周四宝)

  2. Chengdu Engineering Corporation Limited, PowerChina, Chengdu, 410014, China

    Gang Wang  (王 刚)

Authors
  1. Mingchao Li  (李明超)
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  2. Sibao Zhou  (周四宝)
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  3. Gang Wang  (王 刚)
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Corresponding author

Correspondence to Mingchao Li  (李明超).

Additional information

Supported by the National Natural Science Foundation of China(No. 51379006 and No. 51321065)and the Program for New Century Excellent Talents in University of Ministry of Education of China( NCET-12-0404).

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Li, M., Zhou, S. & Wang, G. 3D identification and stability analysis of key surface blocks of rock slope. Trans. Tianjin Univ. 22, 317–323 (2016). https://doi.org/10.1007/s12209-016-2596-z

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  • DOI: https://doi.org/10.1007/s12209-016-2596-z

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