Techno Press
Techno Press

Computers and Concrete   Volume 19, Number 5, May 2017, pages 527-535
An approach of evaluation and mechanism study on the high and steep rock slope in water conservancy project
Meng Yang, Huaizhi Su and Zhiping Wen

Abstract     [Full Text]
    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.
Key Words
    high and steep slope; statistic model; spatial model; neural network; finite element model
Meng Yang and Huaizhi Su:
1) State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
2) College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
3) National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Nanjing 210098, China
Zhiping Wen: Department of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China

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