基于饱和渗透系数空间变异结构的斜坡渗流及失稳特征

张抒; 唐辉明; 刘晓; 谭钦文; 夏侯云山

doi:10.3799/dqkx.2017.617

Volume 43 Issue 2

Feb. 2018

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Article Navigation > Earth Science > 2018 > 43(2): 622-634

Zhang Shu, Tang Huiming, Liu Xiao, Tan Qinwen, Xiahou Yunshan, 2018. Seepage and Instability Characteristics of Slope Based on Spatial Variation Structure of Saturated Hydraulic Conductivity. Earth Science, 43(2): 622-634. doi: 10.3799/dqkx.2017.617

Citation:

Zhang Shu, Tang Huiming, Liu Xiao, Tan Qinwen, Xiahou Yunshan, 2018. Seepage and Instability Characteristics of Slope Based on Spatial Variation Structure of Saturated Hydraulic Conductivity. Earth Science, 43(2): 622-634. doi: 10.3799/dqkx.2017.617

Citation:

Zhang Shu, Tang Huiming, Liu Xiao, Tan Qinwen, Xiahou Yunshan, 2018. Seepage and Instability Characteristics of Slope Based on Spatial Variation Structure of Saturated Hydraulic Conductivity. Earth Science, 43(2): 622-634. doi: 10.3799/dqkx.2017.617

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Seepage and Instability Characteristics of Slope Based on Spatial Variation Structure of Saturated Hydraulic Conductivity

doi: 10.3799/dqkx.2017.617

1.
Three Gorges Research Center for Geo-hazard of Ministry of Education, China University of Geosciences, Wuhan 430074, China
2.
Faculty of Engineering, China University of Geosciences, Wuhan 430074, China

Received Date: 2017-12-16
Publish Date: 2018-02-15

Abstract

Abstract

In the previous studies, the spatial variability of geotechnical parameters was simulated based on singe random variable approach (SRV) or random field approach (RF) according to the horizontal or vertical fluctuation range. The spatial variable conditional random field with slant directional characteristics was not involved. Based on the conditional modelling theory and the framework of non-intrusive stochastic finite element method, an original method has been proposed to study the slope seepage and instability characteristics considering spatial variation structure of K_s. This method firstly simulates the conditional random fields of slope parameters taking advantage of sequential Gaussian simulation method (SGS). The K_s random field realizations of a hypothetic slope has been generated in terms of seven different spatial variation structures repeatedly for 200 times. The considered scenarios involved isotropic structure with various ranges (a) and geometric anisotropic structure with various maximum correlation orientations. Seepage and stability analysis was then performed repeatedly according to the assignment random field using finite element method (FEM). According to the FEM analysis results, statistical analysis was then carried out to find the seepage and instability characteristic of the considering seven spatial variation scenarios. The results, on the one hand, show that the proposed method has the priority of reproducing the second-order spatial statistical characteristic of parameters within the study area by the means of changing the variogram parameters to simulate random fields with different spatial variation types, degrees and orientations. The uncertainty of the random field value assignment adjacent to the measurement locations is also much reduced due to the constraints of field measurements. On the other hand, the results show that the spatial variation structure of K_s has a certain impact on pore-water pressure distribution, phreatic line variation bound, factor of safety and most critical slip surface distribution. This research provides methodology support for reservoir slope stability evaluation.

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References(59)

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Seepage and Instability Characteristics of Slope Based on Spatial Variation Structure of Saturated Hydraulic Conductivity

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