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The Contribution of Particle Swarm Optimization to Three-Dimensional Slope Stability Analysis

机译:粒子群优化对三维边坡稳定性分析的贡献

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Over the last few years, particle swarm optimization (PSO) has been extensively applied in various geotechnical engineering including slope stability analysis. However, this contribution was limited to two-dimensional (2D) slope stability analysis. This paper applied PSO in three-dimensional (3D) slope stability problem to determine the critical slip surface (CSS) of soil slopes. A detailed description of adopted PSO was presented to provide a good basis for more contribution of this technique to the field of 3D slope stability problems. A general rotating ellipsoid shape was introduced as the specific particle for 3D slope stability analysis. A detailed sensitivity analysis was designed and performed to find the optimum values of parameters of PSO. Example problems were used to evaluate the applicability of PSO in determining the CSS of 3D slopes. The first example presented a comparison between the results of PSO and PLAXI-3D finite element software and the second example compared the ability of PSO to determine the CSS of 3D slopes with other optimization methods from the literature. The results demonstrated the efficiency and effectiveness of PSO in determining the CSS of 3D soil slopes.
机译:在过去的几年中,粒子群优化(PSO)已广泛应用于各种岩土工程,包括边坡稳定性分析。然而,这种贡献仅限于二维(2D)斜率稳定性分析。本文在三维(3D)坡稳定性问题中应用PSO,以确定土斜坡的临界滑动表面(CSS)。提出了采用PSO的详细描述,为该技术对3D边坡稳定性问题的领域提供了良好的基础。将一般旋转椭圆形形状作为3D斜率稳定性分析的特定颗粒引入。设计并进行了详细的灵敏度分析,以找到PSO参数的最佳值。示例问题用于评估PSO在确定3D斜坡CSS时的适用性。第一个示例介绍了PSO和Plaxi-3D有限元软件的结果与第二示例之间的结果比较了PSO与来自文献的其他优化方法确定3D斜率的能力。结果证明了PSO在确定3D土壤斜坡CSS时的效率和有效性。

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