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| Spatial variability characterization of the mechanical parameters of structural planes and reliability analysis of rock slopes |
| JIANG Shuihua1,2,LI Jianping1,HUANG Jinsong1,ZHOU Chuangbing1 |
(1. School of Infratructure Engineering,Nanchang University,Nanchang,Jiangxi 330031,China;2. State Key Laboratory of Geomechanics and Geotechnical Engineering,Institute of Rock and Soil Mechanics,Chinese Academy of Sciences,
Wuhan,Hubei 430071,China) |
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Abstract Characterization of the spatial variability of rock mass parameters differs significantly from that of soil parameters due to complex structures inherently existing in the rock masses. At present,the spatial variability modeling of the mechanical parameters of highly fractured/weathered rock masses and those dominated by a single structural plane and associated slope reliability analysis have been extensively studied. However,few attempts have been made to depict the spatial variability of the mechanical parameters of wedge and anti-dip rock masses and conduct associated slope reliability analysis. In this paper,a method for spatial variability modeling of the mechanical parameters of structural planes and slope reliability analysis is proposed for the wedge and anti-dip rock masses. The varying ranges of the autocorrelation distances and scales of fluctuation of the mechanical parameters for different types of rock masses are systematically summarized. An interface program between the spatial variability modeling of the mechanical parameters and probabilistic slope stability analysis with FLAC3D software is developed. An explicit function relationship between the factor of safety of the slope and the random field vectors of structural plane parameters is constructed using the Back-Propagation(BP) neural network. Then the non-intrusive stochastic finite difference method is adopted to explore the influence of the spatial variability of the mechanical parameters of structural planes on the probability of slope failure. The results indicate that the autocorrelation distances and scales of fluctuation of the mechanical parameters are different among different types of rock masses. The single exponential autocorrelation function is the most widely used theoretical autocorrelation function. The direction simulation and direct Monte-Carlo simulation methods are adopted to validate the effectiveness of the proposed method. The proposed method can provide an effective means for the spatial variability characterization of the mechanical parameters of structural plans for the wedge and anti-dip rock masses in the slope reliability analysis. In addition,the probability of slope failure will be overestimated if the spatial variability of mechanical parameters is ignored,which can further result in conservative slope reinforcement design schemes.
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