基于BP神经网络的微粒参数标定和能量准则在MatDEM中应用强度折减法评估三维边坡稳定性

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论文题目

A BP neural network-based micro particle parameters calibration and an energy criterion for the application of strength reduction method in MatDEM to evaluate 3D slope stability

Wei Jiang¹ , Yihong Tan² , Jinzhou Yan³ , Ye Ouyang⁴ , Zhaoyu Fu⁴ , Qiang Feng⁴

1 Hubei Key Laboratory of Disaster Prevention and Mitigation, China Three Gorges University, Yichang, Hubei, 443002, China

2 Key Laboratory of Geological Hazards on Three Gorges Reservoir Area, Ministry of Education, Yichang, Hubei, 443002, China

3 Yichang Construction Investment & Development Co., Ltd., Yichang, Hubei, 443002, China

4 College of Civil Engineering & Architecture, China Three Gorges University, Yichang, Hubei, 443002, China

研究内容

Abstract:To enhance the applicability of discrete element method in 3D slope stability analysis, a BP neural network-based micro parameter calibration method and an energy criterion are proposed by taking MatDEM as an example. Firstly, the relationship between the micro particle parameters and the shear strengths of particle aggregate are represented by using the BP neural network. And then the micro particle parameters are obtained for the given shear strengths by using a correction calibration. Next, the energy conversions are investigated for the stable and instable slope models in MatDEM. From a view of practical application, the abrupt in variation tendency and magnitude of the kinetic energy is selected for indicating the emergence of the limit equilibrium state of a slope. Finally, the effectiveness of the proposed improvements is testified by taking Baijiabao landslide as an example. Results verify that the calibration method established in this study is applicable to provide the micro particle parameters when the shear strength is constantly reduced, and the factor of safety determined by the kinetic energy criterion reflects the landslide stability at the global level.

Keywords: 3D slope stability analysis；MatDEM；strength reduction method；micro parameters；failure criterion

FIGURE 4 Virtual 3D direct shear test model for measuring the shear strength of particle aggregate

FIGURE 8 Displacements and the energy conversion for the slope in Case 1

FIGURE 14 3D MatDEM model for the stability analysis of Baijiabao landslide

FIGURE 16 The displacement of Baijiabao landslide model with the reduction factor 1.06

了解详情

W. Jiang, Y. Tan, J. Yan, Y. Ouyang, Z. Fu and Q. Feng, A BP neural network-based micro particle parameters calibration and an energy criterion for the application of strength reduction method in MatDEM to evaluate 3D slope stability, Rev. int. métodos numér. cálc. diseño ing. (2023). Vol. 39, (1), 3
https://doi.org/10.1016/10.23967/j.rimni.2023.01.003

来源：矩阵离散元MatDEM

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首次发布时间：2023-12-30

最近编辑：10月前

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