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

被引：18
|
作者：
Li, S. H. [1 ]
Wu, L. Z. [1 ]
Luo, X. H. [1 ]
机构：
[1] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China
来源：
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2020年 / 94卷
基金：
中国国家自然科学基金;
关键词：
Slope stability; Critical slip surface; Minimum safety factor; Improved whale optimization algorithm; WHALE OPTIMIZATION ALGORITHM; NONCIRCULAR FAILURE SURFACE; STABILITY ANALYSIS; GREY WOLF; LANDSLIDE; SEARCH;
D O I：
10.1016/j.engappai.2020.103733
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页数：15
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