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A novel framework for ascertaining the safety factor and critical slip surface of 3D slopes reinforced with piles.

Authors :
Sun, Jiaping
Liang, Chao
Dong, Pingting
Yu, Tiantang
Source :
Computers & Geotechnics. Jan2024, Vol. 165, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

The pile is a widely used reinforcement device in geotechnical engineering. For the present paper, we propose a new solution for calculating the safety factor (SF) of the 3D slope reinforced with piles and determining the critical slip surface (CSS) in the framework of minimum potential energy method. In particular, the mobilized shear stress on failure surface is determined by the equilibrium equation of forces operating on slip body. Meanwhile, the moving direction of 3D slope is equivalent to the direction of combined force acting on slip body. Additionally, the present method is combined with the genetic algorithm to identify CSS, and a novel criterion is proposed to locate the shape and position of CSS of a 3D slope using the total potential energy of landslide system as the objective function. The validation and comparison of results indicate that the SF obtained by the introduced method are close to reference solutions, and SF shows an obvious negative correlation with sliding direction (SD). It is also found that the support effect of pile is related to the pile location and the pile density. Meanwhile, the optimal pile position depends on the shape of failure surface and shear strength parameter of soil. Moreover, the effects of some parameters on SD of 3D slopes reinforced with piles are also studied. • A stability analysis model of 3D slopes reinforced with stabilizing piles is established. • An improved method of determining the elastic potential energy is introduced. • A unique insight into identifying critical slip surface is presented. • An analytical solution for calculating the moving direction of 3D landslide is given. • Influencing factors of reinforcement effect are revealed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0266352X
Volume :
165
Database :
Academic Search Index
Journal :
Computers & Geotechnics
Publication Type :
Academic Journal
Accession number :
174031733
Full Text :
https://doi.org/10.1016/j.compgeo.2023.105894