Stability analysis of loess slope combined with limit equilibrium method under different rainfall intensities

Author:

Liu Yongde1,Yang Yongdong2,Hu Aiping2

Affiliation:

1. 1 Qingyang Longfeng Sponge City Construction Management and Operation Co. Ltd , Qingyang , Gansu , , China .

2. 2 School of Civil Engineering , Longdong University , Qingyang , Gansu , , China .

Abstract

Abstract Due to the special characteristics of loess soil, once the stability of the slope is not detected in place, it is easy to cause serious loss of life and property, so this paper is based on the limit equilibrium method to analyze the stability of loess slopes under different rainfall intensities. The simplified Bishop’s method, the proposed static method, and the strength reduction method under the limit equilibrium method are studied to provide a reference basis for subsequent research. Explore the law of rainwater infiltration in loess under different rainfall conditions, construct a water-wetting model, investigate the seepage law of loess slope, and detect the degree of wetting and seepage of loess soil under different rainfall conditions. Combining the principle of effective stress of saturated soil, analyze the mechanical characteristics of the unsaturated soil on the loess slope. The stability of loess slopes under natural conditions and seismic conditions is analyzed, and the pore water pressure and shear strength of the sliding surface of loess slopes are analyzed under different rainfall conditions. The experimental data show that the slope safety coefficient of the simplified Bishop-limit equilibrium method under natural conditions is 1.118, and the difference with other algorithms is about 2.9%, which shows that the safety coefficient of the simplified Bishop-limit equilibrium method is more accurate to detect when combined with the slope stability model. When the rainfall intensity is 15, 30, 45, 60, and 75mm/h, the slope safety factor is 1.18, 1.14, 1.125, 1.12, and 0.98, respectively, the rainfall intensity is negatively correlated with the slope safety factor.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

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