Determination of Slope Safety Factor with Analytical Solution and Searching Critical Slip Surface with Genetic-Traversal Random Method

Niu, Wenjie

doi:10.1155/2014/950531

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…Factors of safety are frequently computed to identify whether a slope is safe, which can be obtained by the ratio of resisting and driving stresses along a potential slip surface. This calculation, however, is not based on a unique equation, since there are a variety of methods [37,38] that can be selected to obtain the factor of safety according to different conditions. These conditions also depend on the type of failure surface and its extension.…”

Section: The Quantification Of a Network 331 Limited Equilibrium Fumentioning

confidence: 99%

Failure Analysis of Soil Slopes with Advanced Bayesian Networks

Gomes

Broggi

et al. 2019

Period. Polytech. Civil Eng.

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To prevent catastrophic consequences of slope failure, it can be effective to have in advance a good understanding of the effect of both, internal and external triggering-factors on the slope stability. Herein we present an application of advanced Bayesian networks for solving geotechnical problems. A model of soil slopes is constructed to predict the probability of slope failure and analyze the influence of the induced-factors on the results. The paper explains the theoretical background of enhanced Bayesian networks, able to cope with continuous input parameters, and Credal networks, specially used for incomplete input information. Two geotechnical examples are implemented to demonstrate the feasibility and predictive effectiveness of advanced Bayesian networks. The ability of BNs to deal with the prediction of slope failure is discussed as well. The paper also evaluates the influence of several geotechnical parameters. Besides, it discusses how the different types of BNs contribute for assessing the stability of real slopes, and how new information could be introduced and updated in the analysis.

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Section: The Quantification Of a Network 331 Limited Equilibrium Fumentioning

confidence: 99%

Failure Analysis of Soil Slopes with Advanced Bayesian Networks

Gomes

Broggi

et al. 2019

Period. Polytech. Civil Eng.

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“…The results were compared with those from the literature and were listed in Table 1 . It should be noted that the FOS of the slope was calculated using the variable metric method (VMM) [ 14 ], analytical method 1 (AM1) [ 7 ], analytical method 2 (AM2) [ 6 ], ordinary method (OM) [ 33 ], and genetic algorithms (GA) [ 34 ] reported in the literature.…”

Section: Case Studymentioning

confidence: 99%

Numerical Computation of Homogeneous Slope Stability

Xiao

Ke-min

Ding

et al. 2015

Computational Intelligence and Neuroscience

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To simplify the computational process of homogeneous slope stability, improve computational accuracy, and find multiple potential slip surfaces of a complex geometric slope, this study utilized the limit equilibrium method to derive expression equations of overall and partial factors of safety. This study transformed the solution of the minimum factor of safety (FOS) to solving of a constrained nonlinear programming problem and applied an exhaustive method (EM) and particle swarm optimization algorithm (PSO) to this problem. In simple slope examples, the computational results using an EM and PSO were close to those obtained using other methods. Compared to the EM, the PSO had a small computation error and a significantly shorter computation time. As a result, the PSO could precisely calculate the slope FOS with high efficiency. The example of the multistage slope analysis indicated that this slope had two potential slip surfaces. The factors of safety were 1.1182 and 1.1560, respectively. The differences between these and the minimum FOS (1.0759) were small, but the positions of the slip surfaces were completely different than the critical slip surface (CSS).

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“…[22] conducted numerically using 2D and 3D limit equilibrium method (LEM) utilising the Slide program by Rocscience. [23] proposed a new method to determine the minimum slope safety factor which is the determination of slope safety factor with analytical solution and searching critical slip surface with Genetic-Traversal Random Method.…”

Section: Introductionmentioning

confidence: 99%

Study of Slope Stability Using the Bishop Slice Method: An Approach Combining Analytical and Numerical Analyses

Agbelele,

Adeoti,

Agossou

et al. 2023

OJAppS

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Determination of Slope Safety Factor with Analytical Solution and Searching Critical Slip Surface with Genetic-Traversal Random Method

Cited by 7 publications

References 10 publications

Failure Analysis of Soil Slopes with Advanced Bayesian Networks

Failure Analysis of Soil Slopes with Advanced Bayesian Networks

Numerical Computation of Homogeneous Slope Stability

Study of Slope Stability Using the Bishop Slice Method: An Approach Combining Analytical and Numerical Analyses

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