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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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Autores principales: Wang, Jianxiu, Li, HubBoqiang, Jiang, Yunhua, Tian, Puzhuo, Cao, Ansheng, Long, Yanxia, Liu, Xiaotian, Si, Pengfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006440/
https://www.ncbi.nlm.nih.gov/pubmed/36899071
http://dx.doi.org/10.1038/s41598-023-31249-9
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author Wang, Jianxiu
Li, HubBoqiang
Jiang, Yunhua
Tian, Puzhuo
Cao, Ansheng
Long, Yanxia
Liu, Xiaotian
Si, Pengfei
author_facet Wang, Jianxiu
Li, HubBoqiang
Jiang, Yunhua
Tian, Puzhuo
Cao, Ansheng
Long, Yanxia
Liu, Xiaotian
Si, Pengfei
author_sort Wang, Jianxiu
collection PubMed
description 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.
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spelling pubmed-100064402023-03-12 Slope monitoring optimization considering three-dimensional deformation and failure characteristics using the strength reduction method: A case study Wang, Jianxiu Li, HubBoqiang Jiang, Yunhua Tian, Puzhuo Cao, Ansheng Long, Yanxia Liu, Xiaotian Si, Pengfei Sci Rep Article 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. Nature Publishing Group UK 2023-03-10 /pmc/articles/PMC10006440/ /pubmed/36899071 http://dx.doi.org/10.1038/s41598-023-31249-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wang, Jianxiu
Li, HubBoqiang
Jiang, Yunhua
Tian, Puzhuo
Cao, Ansheng
Long, Yanxia
Liu, Xiaotian
Si, Pengfei
Slope monitoring optimization considering three-dimensional deformation and failure characteristics using the strength reduction method: A case study
title Slope monitoring optimization considering three-dimensional deformation and failure characteristics using the strength reduction method: A case study
title_full Slope monitoring optimization considering three-dimensional deformation and failure characteristics using the strength reduction method: A case study
title_fullStr Slope monitoring optimization considering three-dimensional deformation and failure characteristics using the strength reduction method: A case study
title_full_unstemmed Slope monitoring optimization considering three-dimensional deformation and failure characteristics using the strength reduction method: A case study
title_short Slope monitoring optimization considering three-dimensional deformation and failure characteristics using the strength reduction method: A case study
title_sort slope monitoring optimization considering three-dimensional deformation and failure characteristics using the strength reduction method: a case study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006440/
https://www.ncbi.nlm.nih.gov/pubmed/36899071
http://dx.doi.org/10.1038/s41598-023-31249-9
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