3D Slope Reliability Analysis Based on Improved PSO-RBF Neural Network

被引：0
|
作者：
Peng Z. [1 ,2 ]
Sheng J. [1 ,2 ]
Ye Z. [1 ,2 ]
Yuan Q. [1 ,2 ]
机构：
[1] School of Resources and Environmental Engineering, Wuhan University of Science and Technology, Wuhan
[2] Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgical Mineral Resources, Wuhan University of Science and Technology, Wuhan
来源：
Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences | 2024年 / 49卷 / 05期
关键词：
engineering geology; geotechnical engineering; neural networks; particle swarm optimization algorithm; reliability; three - dimensional slope stabilization;
D O I：
10.3799/dqkx.2022.341
中图分类号：
学科分类号：
摘要：
Three-dimensional slope model can truly reflect the spatial effect of slope and improve the accuracy of slope reliability calculation, however, due to the huge calculation volume of three-dimensional slope model and the lack of display expression of safety coefficient, the slope reliability analysis is mainly based on two-dimensional simplified model, and the research for three-dimensional slope reliability analysis is still insufficient. A three-dimensional slope reliability analysis method based on Spencerś method, adaptive variational particle swarm optimization algorithm and radial basis function neural network (RBF) is proposed. By introducing variational operators to the traditional PSO algorithm, the shortcomings of its low search accuracy and inefficient late iterations are improved. Based on the three-dimensional Spencer method, the calculation model of three-dimensional slope safety coefficient is constructed for reliability analysis by combining the improved PSO algorithm with RBF neural network to realize the display of three-dimensional slope function, and the improvement of the calculation accuracy and efficiency of the method compared with the traditional method is verified through the reliability analysis of the scalene vertebral ellipsoid slide; further research is conducted on the process of load-reducing excavation of the left bank slope of Kakiwa. The results show that the stability and reliability of the slope can be effectively improved after the effect of slope cutting and load reduction, and the probability of slope failure is reduced by nearly 2 orders of magnitude. © 2024 China University of Geosciences. All rights reserved.
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页码：1706 / 1721
页数：15
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