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A novel method for locating the critical slip surface of a soil slope

机译:一种用于定位土坡临界滑动表面的新方法

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Calculating the minimum slope safety factor or locating the critical slip surface of a soil slope is a complex optimization problem. This paper describes an improved whale optimization algorithm (IWOA) for locating the critical slip surface of a soil slope. Locating a critical slip surface is transformed into a three-dimensional problem from a high-dimensional optimization. Combined with the Morgenstern-Price method, IWOA is compared against other optimization techniques in an experimental study. Test results using 13 benchmark functions show that IWOA significantly outperforms the conventional whale optimization algorithm (WOA) and particle swarm optimization (PSO). The IWOA method is then used to search for the critical slip surfaces of four slopes. The results show that IWOA again performs better than WOA and PSO in locating the critical slip surface.
机译:计算最小坡度安全系数或定位土斜率的临界滑动表面是复杂的优化问题。本文描述了一种改进的鲸鲸优化算法(IWOA),用于定位土斜率的临界滑动表面。从高维优化将临界滑动表面被转换为三维问题。结合Morgenstern-Price方法,将IWOA与实验研究中的其他优化技术进行比较。使用13个基准函数的测试结果表明,IWOA显着优于传统的鲸料优化算法(WOA)和粒子群优化(PSO)。然后,IWOA方法用于搜索四个斜坡的临界滑曲面。结果表明,在定位临界滑动表面时,IWOA再次比WOA和PSO更好。

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