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.
Highlights
Slope stability analysis has always been a research subject of great value in geotechnical engineering
A series of sliding surfaces are assumed, and the safety factor of a slope is calculated based on limit equilibrium method or strength reduction method, the minimum safety factor is found out to judge the stability of the slope, and the corresponding sliding surface is named as the critical slip surface
Morgenstern and Price method (MP method) is a strict slice method based on limit equilibrium theory, which satisfies the requirement of force balance in both horizontal and vertical directions and overall moment balance, and it is suitable for safety factor calculation on a slip surface of any shape
Summary
Slope stability analysis has always been a research subject of great value in geotechnical engineering. Gao Wei [3] developed the encounter ant colony algorithm based on ants' forward and backward foraging meeting which formed a complete path, and applied it to search for a non-circular sliding surface. Wei Hainan [5] combined genetic algorithm with MP method to establish a global optimization method for any sliding surface search. Shen Hong et al.: Search of Non-circular Slip Surface Based on Improved FOA algorithm exhibits good convergence in search of a most dangerous non-circular slip surface and calculation of the slope reliability index. Intelligent optimization algorithm has achieved great advantages in slope stability analysis, but there are still some shortcomings, such as slow convergence rate of the simulated annealing algorithm [10], low search efficiency of the ant algorithm [3], poor parameter universality of the genetic algorithm [10]. / is anti-sliding force on the bottom of the soil slice, , and , are effective internal friction angle and effective cohesion, respectively, and is the safety factor. , and , are shear strength parameters derived from strength reduction method
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