Search of Non-circular Slip Surface Based on Improved FOA

Shen Hong; Yu Xiuling; Wang Pengyi

doi:doi:10.11648/j.ajce.20210906.14

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Search of Non-circular Slip Surface Based on Improved FOA

Shen Hong, Yu Xiuling, Wang Pengyi

Published in American Journal of Civil Engineering (Volume 9, Issue 6)

Received: 28 October 2021 Accepted: 23 November 2021 Published: 24 November 2021

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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.

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), 2021. Published by Science Publishing Group

Keywords

Non-circular Slip Surface, Slope Stability, Improved FOA, Double Tier Search Strategy

References

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[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.
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[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.
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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

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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

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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

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@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}
}

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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  -

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Author Information

Shen Hong

School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China
Yu Xiuling

School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China
Wang Pengyi

School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China

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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

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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

Copy | Download

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

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}
}

Copy | Download

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  -

Copy | Download