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Development of the scaled boundary finite element method for image-based slope stability analysis


Wijesinghe, DR and Dyson, A and You, G and Khandelwal, M and Song, C and Ooi, ET, Development of the scaled boundary finite element method for image-based slope stability analysis, Computers and Geotechnics, 143 Article 104586. ISSN 0266-352X (2022) [Refereed Article]

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2021 Published by Elsevier Ltd.

DOI: doi:10.1016/j.compgeo.2021.104586


This paper presents a numerical technique for geotechnical slope stability analysis, integrating digital image meshing with the scaled boundary finite element method, allowing site conditions such as complex stratigraphies, surface and internal geometry evolution to be simulated in a robust and straightforward procedure. The quadtree decomposition technique is used to automatically discretise the geometry directly from digital images using pixel information to accurately capture boundaries with fine-scale elements. The process allows complex numerical models to be generated from cross-section images of slopes, capitalising on the combination of the scaled boundary finite element method and quadtree meshing. The spatial distribution of the soil material properties can be represented by the colour of each pixel. A mapping technique is developed to integrate these parameters into the computational mesh. The feasibility of the proposed method is presented through case study simulations of an active large Australian open-pit mine, considering various aspects of complex features such as geometry, stratigraphy and material behaviour.

Item Details

Item Type:Refereed Article
Keywords:scaled boundary finite element method, slope stability, spatial variation, image-based analysis, quadtree mesh
Research Division:Engineering
Research Group:Civil engineering
Research Field:Civil geotechnical engineering
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Natural hazards
Objective Field:Geological hazards (e.g. earthquakes, landslides and volcanic activity)
UTAS Author:Dyson, A (Dr Ashley Dyson)
ID Code:148315
Year Published:2022
Web of Science® Times Cited:3
Deposited By:Engineering
Deposited On:2021-12-20
Last Modified:2023-01-06
Downloads:10 View Download Statistics

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