The determination of the most critical non-circular slip surface can be attributed to the optimization of complex non-linear multi-peak function due to its numerous control variables and large amount of calculation. It is a trend in recent years to apply intelligent optimization algorithm into slope stability analysis. Considering that the standard Fruit fly Optimization Algorithm (FOA) is prone to fall into local extremum, the improved Fruit fly Optimization Algorithm is obtained by incorporating the standard FOA with the simulated annealing idea. In order to improve the search efficiency, a fixed step size is adjusted to an adaptive step size, and a double tier search strategy is proposed to be applied: the potential non-circular slip surface is obtained from the outer layer, and the factor of safety along the potential slip surface is calculated step by step from the inner layer. The improved FOA is applied to a slope with weak interlayer. The feasibility, superiority and efficiency of the improved algorithm are proved by comparing its answers to the judges'. Different inter-slice force functions, various initial values of Fs and λ are assumed, and the results show that these parameters could hardly affect final solution for safety factor.
| Published in | American Journal of Civil Engineering (Volume 9, Issue 6) |
| DOI | 10.11648/j.ajce.20210906.14 |
| Page(s) | 213-220 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Non-circular Slip Surface, Slope Stability, Improved FOA, Double Tier Search Strategy
| [1] | Chen Zu-yu. Principle method program of soil slope stability analysis [M]. Beijing: China Waterpower Press. 2003: 23-29. |
| [2] | Wan Wen, Cao Ping, Feng Tao, Yuan Hai-ping. New method to search the most dangerous failure slope surface freely. J. Cent. South Univ. (Science and Technology), 2006, 37 (4): 810-814. |
| [3] | Gao Wei, Zhang Feijun. Study of applications of meeting ant colony algorithm to search non-circular critical slip surface of slope [J]. Rock and Soil Mechanics, 2014, 35 (S1): 391-398. |
| [4] | Wu Wenyuan. Research on optimization of non-circular slip surface according to direct search method [D]. Nanjing University, 2014. |
| [5] | Wei Hainan. The Improvement and Application of Morgenstern—Price Method for Two-dimensional Slope Stability Analysis [D]. Chengdu University of Technology, 2015. |
| [6] | Jiang Zefeng. Improvement of critical slip field method of slope and development of its computing system [D]. Hefei University of Technology, 2016. |
| [7] | Wei Changyi. The research of slope stability based on principal component analysis's genetic neural network [D]. Beijing Architecture University, 2017. |
| [8] | Shahrokhabadi S, Khoshfahm V, Rafsanjani H N. Hybrid of Natural Element Method (NEM) with Genetic Algorithm (GA) to find critical slip surface [J]. Alexandria Engineering Journal, 2014, 53 (2): 373-383. |
| [9] | Khajehzadeh M, Taha M R, El-Shafie A, et al. A modified gravitational search algorithm for slope stability analysis [J]. Engineering Applications of Artificial Intelligence, 2012, 25 (8): 1589-1597. |
| [10] | HE Qing, WU Yi-Le, XU Tong-Wei. Application of improved genetic simulated annealing algorithm in TSP optimization [J]. Control and Decision, 2018, 33 (02): 219-225. |
| [11] | ZHU Da-yong, Lee C F, HUANG Mao- song, QIAN Qi-hu. Modification to three well-known methods of slope stability analysis. Chinese Journal of Rock Mechanics and Engineering. 2005, 24 (2): 183-194. |
| [12] | Pan W T. A new fruit fly optimization algorithm: taking the financial distress model as an example [J]. Knowledge-Based Systems, 2012, 26: 69-74. |
| [13] | Zhang Shuiping, Wang Lina. Research and analysis on progress of fruit fly optimization algotithm [J]. Computer Engineering and Applications, 2021, 57 (6): 22-29. |
| [14] | DUAN Yan-ming, XIAO Hui-hui, TAN Qian-lin. Fruit Fly Optimization Algorithm Based on Simulated Annealing Mechanism, Control Engineering of China, 2017, 24 (5): 938-946. |
| [15] | Metropolis N, Rosenbluth A W, Rosenbluth M N, et al. Equation of state by fast computing machines [J]. Journal of Chemical Physics, 1953, 21 (6): 1087-1092. |
| [16] | S. Kirkpatrick, C. D. Gelatt, Jr., M. P. Vecchi. Optimization by simulated annealing [J]. Science, 1983 (220): 671-680. |
APA Style
Shen Hong, Yu Xiuling, Wang Pengyi. (2021). Search of Non-circular Slip Surface Based on Improved FOA. American Journal of Civil Engineering, 9(6), 213-220. https://doi.org/10.11648/j.ajce.20210906.14
ACS Style
Shen Hong; Yu Xiuling; Wang Pengyi. Search of Non-circular Slip Surface Based on Improved FOA. Am. J. Civ. Eng. 2021, 9(6), 213-220. doi: 10.11648/j.ajce.20210906.14
AMA Style
Shen Hong, Yu Xiuling, Wang Pengyi. Search of Non-circular Slip Surface Based on Improved FOA. Am J Civ Eng. 2021;9(6):213-220. doi: 10.11648/j.ajce.20210906.14
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ajce.20210906.14,
author = {Shen Hong and Yu Xiuling and Wang Pengyi},
title = {Search of Non-circular Slip Surface Based on Improved FOA},
journal = {American Journal of Civil Engineering},
volume = {9},
number = {6},
pages = {213-220},
doi = {10.11648/j.ajce.20210906.14},
url = {https://doi.org/10.11648/j.ajce.20210906.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20210906.14},
abstract = {The determination of the most critical non-circular slip surface can be attributed to the optimization of complex non-linear multi-peak function due to its numerous control variables and large amount of calculation. It is a trend in recent years to apply intelligent optimization algorithm into slope stability analysis. Considering that the standard Fruit fly Optimization Algorithm (FOA) is prone to fall into local extremum, the improved Fruit fly Optimization Algorithm is obtained by incorporating the standard FOA with the simulated annealing idea. In order to improve the search efficiency, a fixed step size is adjusted to an adaptive step size, and a double tier search strategy is proposed to be applied: the potential non-circular slip surface is obtained from the outer layer, and the factor of safety along the potential slip surface is calculated step by step from the inner layer. The improved FOA is applied to a slope with weak interlayer. The feasibility, superiority and efficiency of the improved algorithm are proved by comparing its answers to the judges'. Different inter-slice force functions, various initial values of Fs and λ are assumed, and the results show that these parameters could hardly affect final solution for safety factor.},
year = {2021}
}
TY - JOUR T1 - Search of Non-circular Slip Surface Based on Improved FOA AU - Shen Hong AU - Yu Xiuling AU - Wang Pengyi Y1 - 2021/11/24 PY - 2021 N1 - https://doi.org/10.11648/j.ajce.20210906.14 DO - 10.11648/j.ajce.20210906.14 T2 - American Journal of Civil Engineering JF - American Journal of Civil Engineering JO - American Journal of Civil Engineering SP - 213 EP - 220 PB - Science Publishing Group SN - 2330-8737 UR - https://doi.org/10.11648/j.ajce.20210906.14 AB - The determination of the most critical non-circular slip surface can be attributed to the optimization of complex non-linear multi-peak function due to its numerous control variables and large amount of calculation. It is a trend in recent years to apply intelligent optimization algorithm into slope stability analysis. Considering that the standard Fruit fly Optimization Algorithm (FOA) is prone to fall into local extremum, the improved Fruit fly Optimization Algorithm is obtained by incorporating the standard FOA with the simulated annealing idea. In order to improve the search efficiency, a fixed step size is adjusted to an adaptive step size, and a double tier search strategy is proposed to be applied: the potential non-circular slip surface is obtained from the outer layer, and the factor of safety along the potential slip surface is calculated step by step from the inner layer. The improved FOA is applied to a slope with weak interlayer. The feasibility, superiority and efficiency of the improved algorithm are proved by comparing its answers to the judges'. Different inter-slice force functions, various initial values of Fs and λ are assumed, and the results show that these parameters could hardly affect final solution for safety factor. VL - 9 IS - 6 ER -
Information
Email: