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Search of Non-circular Slip Surface Based on Improved FOA

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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[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.
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Cite This Article
  • 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
  • School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China

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

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

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