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Corresponding Author

李刚li gang

Abstract

In response to such problems as the complex calculation of safety factors and the interrelations between optimization variables of slip surfaces in slope stability analysis, an improved seeker optimization algorithm (ISOA) was adopted to search for the critical slip surface of slopes, with the introduction of the chaotic strategy in ISOA to improve local search capability. Meanwhile, the utilization of seven benchmark functions for testing shows that ISOA has significantly improved accuracy, stability, and efficiency compared to the original seeker optimization algorithm (SOA). By further combining the ISOA algorithm with the finite element stress algebraic sum method to analyze slope stability, two ACADS test cases were analyzed. The results show that the safety factor error between the stress algebraic sum method based on ISOA and the traditional limit equilibrium method is relatively small, and the slip surface position is basically consistent. Additionally, ISOA can more efficiently and accurately search for critical slip surfaces, making it suitable for applications in complex soil slopes with non-uniform soil layers.

Publication Date

11-8-2022

DOI

10.14048/j.issn.1671-2579.2022.05.003

First Page

12

Last Page

18

Submission Date

April 2025

Reference

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