Journal of Northeastern University(Natural Science) ›› 2024, Vol. 45 ›› Issue (1): 120-128.DOI: 10.12068/j.issn.1005-3026.2024.01.015

• Resources & Civil Engineering • Previous Articles     Next Articles

Critical Slip Surface Search for Pile-Anchor Supported Deep Foundation Pits Based on Hybrid Fruit Fly Algorithm

Ze-ning MA, Cheng-man SHA, Ming-hao LU   

  1. School of Resources & Civil Engineering,Northeastern University,Shenyang 110819,China. Corresponding author:SHA Cheng-man,E-mail:shachengman@mail. neu. edu. cn
  • Received:2023-04-12 Online:2024-01-15 Published:2024-04-02

Abstract:

The limit equilibrium method is used for the overall stability analysis of the pit,requiring iterative calculation of various potential slip surfaces.The slip surface with the smallest safety factor is identified as the most dangerous slip surface.The fruit fly optimization algorithm (FOA) with the tabu search (TS) algorithm is fused,and the hybrid fruit fly optimization algorithm (HFOA) with adaptive step size is proposed to overcome the limitations of the fruit fly optimization algorithm,such as lower accuracy and susceptibility to local optimum.In order to ensure that the global optimal solution is obtained,the simplified Bishop algorithm for the search of critical slip surfaces is combined.By comparing with the six heuristic algorithms,it is shown that the HFOA is applicable to cantilever-supported pits with homogeneous soil,layered soil and pile-anchored supported pits with soft soil.It is more accurate and efficient compared with the six algorithms such as genetic algorithm,and provides a new solution strategy for identifying critical sliding surface in deep foundation pits.

Key words: deep foundation pit, integral stability, fruit fly optimization algorithm, tabu search algorithm, minimum safety factor

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