Slope monitoring optimization considering three-dimensional deformation and failure characteristics using the strength reduction method: A case study

The potential deformation and failure of a slope with typical 3D shapes involve 3D characteristics, such that these factors cannot be simulated using 2D methods. If 3D characteristics are not considered in expressway slope monitoring, an excessive number of monitoring points may be arranged in the s...

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Bibliographic Details
Published in:Scientific reports 2023-03, Vol.13 (1), p.4049-4049, Article 4049
Main Authors: Wang, Jianxiu, Li, HubBoqiang, Jiang, Yunhua, Tian, Puzhuo, Cao, Ansheng, Long, Yanxia, Liu, Xiaotian, Si, Pengfei
Format: Article
Language:English
Subjects:
639/166/986
704/4111
Case studies
Deformation
Failure
Humanities and Social Sciences
Methods
Monitoring
multidisciplinary
Optimization
Science
Science (multidisciplinary)
Shear strength
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Summary:The potential deformation and failure of a slope with typical 3D shapes involve 3D characteristics, such that these factors cannot be simulated using 2D methods. If 3D characteristics are not considered in expressway slope monitoring, an excessive number of monitoring points may be arranged in the stable/safe part, whereas insufficient monitoring points may be arranged in the unstable/dangerous part. In this study, the 3D deformation and failure characteristics of the Lijiazhai slope of the Shicheng–Ji'an Expressway in Jiangxi Province, China were analyzed by 3D numerical simulations using the strength reduction method. The potential 3D slope surface displacement trends, initial position of failure, and maximum depth of potential slip surface were simulated and discussed. The deformation of Slope A was generally small. The slope ranging from the third platform to the slope top was located in Region I, where the deformation was approximately equal to zero. The deformation of Slope B was located in Region V, where the displacement generally was larger than 2 cm in the range from the first–third platforms to the slope top, and the deformation of the trailing edge exceeded 5 cm. The surface displacement monitoring points should be arranged in Region V. Monitoring was then optimized considering the 3D characteristics of the deformation and failure of a slope. Accordingly, surface and deep displacement monitoring networks were effectively arranged in the unstable/dangerous part of the slope. Results may be used as references for similar projects.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-31249-9