Computers and Concrete

  • 제19권5호
  • /
  • Pages.527-535
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  • 2017
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  • 1598-8198(pISSN)
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  • 1598-818X(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

An approach of evaluation and mechanism study on the high and steep rock slope in water conservancy project

  • Yang, Meng (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University) ;
  • Su, Huaizhi (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University) ;
  • Wen, Zhiping (Department of Computer Engineering, Nanjing Institute of Technology)
  • 투고 : 2016.09.07
  • 심사 : 2017.02.06
  • 발행 : 2017.05.25
⟨ 이전 논문 다음 논문 ⟩

초록

In this study, an aging deformation statistical model for a unique high and steep rock slope was proposed, and the aging characteristic of the slope deformation was better reflected. The slope displacement was affected by multiple-environmental factors in multiple scales and displayed the same tendency with a rising water level. The statistical model of the high and steep rock including non-aging factors was set up based on previous analyses and the study of the deformation and residual tendency. The rule and importance of the water level factor as a non-aging unit was analyzed. A partitioned statistical model and mutation model were established for the comprehensive cumulative displacement velocity with the monitoring study under multiple factors and multiple parameters. A spatial model was also developed to reflect and predict the whole and sectional deformation character by combining aging, deformation and space coordinates. A neural network model was built to fit and predict the deformation with a high degree of precision by mastering its feature of complexity and randomness. A three-dimensional finite element model of the slope was applied to approach the structure character using numerical simulations. Further, a three-dimensional finite element model of the slope and dam was developed, and the whole deformation state was analyzed. This study is expected to provide a powerful and systematic method to analyze very high, important and dangerous slopes.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation of China, Jiangsu Natural Science Foundation, Central Universities

참고문헌

  1. Abdalla, J.A., Attom, M.F. and Hawileh, R. (2015), "Prediction of minimum factor of safety against slope failure in clayey soils using artificial neural network", Environ. Earth Sci., 73(9), 5463-5477. https://doi.org/10.1007/s12665-014-3800-x
  2. Abdul-Rahman, H., Wang, C. and Lee, Y.L. (2013), "Design and pilot run of fuzzy synthetic model (FSM) for risk evaluation civil engineering", J. Civil Eng. Manage., 19(2), 217-238. https://doi.org/10.3846/13923730.2012.743926
  3. Altunisik, A.C. and Sesli, H. (2015), "Dynamic response of concrete gravity dams using different water modelling approaches: Westergaard, lagrange and euler", Comput. Concrete, 16(3), 429-448. https://doi.org/10.12989/cac.2015.16.3.429
  4. Bahsan, E., Liao, H.J. and Ching, J. (2014), "Statistics for the calculated safety factors of undrained failure slopes", Eng. Geol., 172, 85-94. https://doi.org/10.1016/j.enggeo.2014.01.005
  5. Bozzano, F., Mazzanti, P., Prestininzi, A. and Mugnozza, G.S. (2010), "Research and development of advanced technologies for landslide hazard analysis in Italy", Landsl., 7(3), 381-385. https://doi.org/10.1007/s10346-010-0208-x
  6. Cheng, K. (2001), "Application of matter element analysis theory for blasting classification of rock", J. Wuhan Univ. Technol., 16(2), 51-53.
  7. Chowdary, V.M., Chakraborthy, D. and Jeyaram, A. (2013), "Multi-criteria decision making approach for watershed prioritization using analytic hierarchy process technique and GIS", Wat. Res. Manage., 27(10), 3555-3571. https://doi.org/10.1007/s11269-013-0364-6
  8. Dai, F.C. and Lee, C.F. (2002), "Landslide characteristics and slope instability modeling using GIS, Lantau Island. Hong Kong", Geomorphol., 42(3-4), 213-228. https://doi.org/10.1016/S0169-555X(01)00087-3
  9. Dejus, T. and Antucheviciene, J. (2013), "Assessment of health and safety solutions at a construction site", J. Civil Eng. Manage., 19(5), 728-737. https://doi.org/10.3846/13923730.2013.812578
  10. Finozzi, I.B.N., Berto, L. and Saetta, A. (2015), "Structural response of corroded RC beams: A comprehensive damage approach", Comput. Concrete, 15(3), 411-436. https://doi.org/10.12989/cac.2015.15.3.411
  11. Gu, C.S. and Wu, Z.R. (2006), "Safety monitoring of dams and dam foundations-theory, methods and their application", Press Hohai Univ., 182-187.
  12. Mazars, J. and Grange, S. (2015), "Modeling of reinforced concrete structural members for engineering purposes", Comput. Concrete, 16(5), 683-701. https://doi.org/10.12989/cac.2015.16.5.683
  13. Mehdi, K. and Mehdi, B. (2011), "A novel hybridization of artificial neural networks and ARIMA models for time series forecasting", Appl. Soft Comput., 11(2), 2664-2675. https://doi.org/10.1016/j.asoc.2010.10.015
  14. Sevim, B., Altunisik, A.C. and Bayraktar, A. (2014), "Construction stages analyses using time dependent material properties of concrete arch dams", Comput. Concrete, 14(5), 599-612. https://doi.org/10.12989/cac.2014.14.5.599
  15. Su, H.Z., Hu, J. Li, J.Y. and Wu, Z.R. (2012), "Deep stability evaluation of high-gravity dam under combining action of powerhouse and dam", J. Geomech., 13(3), 257-272.
  16. Su, H.Z., Li, J.Y., Cao, J.P. and Wen, Z. (2014), "Macrocomprehensive evaluation method of high rock slope stability in hydropower projects", Stoch. Environ. Res. Risk Assess., 28(2), 213-224. https://doi.org/10.1007/s00477-013-0742-x
  17. Su, H.Z., Wen, Z.P. and Wu, Z.R. (2011), "Study on an intelligent inference engine in early-warning system of dam health", Wat. Res. Manage., 25(6), 1545-1563. https://doi.org/10.1007/s11269-010-9760-3
  18. Yang, M. and Liu, S. (2015a), "Field tests and finite element modeling of a prestressed concrete pipe pile-composite foundation", KSCE J. Civil Eng., 19(7), 2067-2074. https://doi.org/10.1007/s12205-015-0549-z
  19. Yang, M., Su, H.Z. and Yan, X.Q. (2015b), "Computation and analysis of high rocky slope safety in a water conservancy project", Discr. Dyn. Nat. Soc., 1-11.
  20. Zhou, J.P., Yang, Z.Y. and Chen, G.F. (2006), "Status and challenges of high dam constructions in China", J. Hydr. Eng., 37(12), 1433-1438.

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