基于改进PSO-RBF神经网络的三维边坡可靠度分析

彭宗桓; 盛建龙; 叶祖洋; 袁乾峰

doi:10.3799/dqkx.2022.341

Volume 49 Issue 5

May 2024

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Article Navigation > Earth Science > 2024 > 49(5): 1706-1721

Guo Zhikui, Chen Chao, Tao Chunhui, Hu Zhengwang, Xu Shunfang, 2021. Numerical Modeling of Mineral Precipitation in Seafloor Hydrothermal Circulation. Earth Science, 46(2): 729-742. doi: 10.3799/dqkx.2019.959

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Peng Zonghuan, Sheng Jianlong, Ye Zuyang, Yuan Qianfeng, 2024. 3D Slope Reliability Analysis Based on Improved PSO-RBF Neural Network. Earth Science, 49(5): 1706-1721. doi: 10.3799/dqkx.2022.341

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Peng Zonghuan, Sheng Jianlong, Ye Zuyang, Yuan Qianfeng, 2024. 3D Slope Reliability Analysis Based on Improved PSO-RBF Neural Network. Earth Science, 49(5): 1706-1721. doi: 10.3799/dqkx.2022.341

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

doi: 10.3799/dqkx.2022.341

Peng Zonghuan^{1, 2
,
,},
Sheng Jianlong^{1, 2},
Ye Zuyang^{1, 2
,
,},
Yuan Qianfeng^{1, 2}

1.
School of Resources and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
2.
Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgical Mineral Resources, Wuhan University of Science and Technology, Wuhan 430081, China

Received Date: 2022-04-22
Available Online: 2024-06-04
Publish Date: 2024-05-25

Abstract

Abstract

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 Spencer's 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.
- three-dimensional slope stabilization,
- reliability,
- particle swarm optimization algorithm,
- neural networks,
- geotechnical engineering,
- engineering geology

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致谢: 德国GEOMAR的Jörg Hasenclever博士和Lars H. Rüpke教授为本文的数值模拟提供了很多建设性的意见，Sebastian Fuchs博士为本文提供了黄铁矿和黄铜矿溶度积实验数据，在此表示诚挚的谢意！

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

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