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Locating the general failure surface of earth slope using particle swarm optimisation

机译:使用粒子群算法定位土坡的一般破坏面

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In this study, a new particle swarm optimisation (PSO) approach is proposed for evaluating the factor of safety (FS) in a slope stability analysis based on the limit equilibrium method. The safety factors of the general slip surfaces are calculated using a concise algorithm of the Morgenstern-Price method, which satisfies both the force and the moment equilibriums. Each new slip surface is randomly generated by a straight-line technique. The performance of the proposed algorithm is evaluated using a set of three benchmark functions and three slope stability problems from the literature. The results indicate that the new method can provide high-quality, accurate and efficient solutions for computing the FS. Moreover, this method can predict a more critical failure mechanism of earth slope and outperform both the other methods in the literature and the standard PSO.
机译:在这项研究中,提出了一种新的粒子群优化(PSO)方法,用于基于极限平衡法的边坡稳定性分析中的安全系数(FS)评估。一般滑动表面的安全系数是使用Morgenstern-Price方法的简洁算法来计算的,该算法既满足力平衡又满足力矩平衡。每个新的滑动表面都是通过直线技术随机生成的。使用一组三个基准函数和文献中的三个边坡稳定性问题对所提出算法的性能进行了评估。结果表明,该新方法可以为FS计算提供高质量,准确,高效的解决方案。而且,该方法可以预测更重要的土坡破坏机理,并且优于文献中的其他方法和标准PSO。

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