Huang, W, Loveridge, F and Satyanaga, A (2022) Translational upper bound limit analysis of shallow landslides accounting for pore pressure effects. Computers and Geotechnics, 148. 104841. ISSN 0266-352X
Abstract
Many rainfall-induced landslides are reported to be shallow. Therefore, when regional slope stability analysis, or landslide hazard mapping is carried out, simple approaches, such as the infinite slope model, are often used. However, the infinite slope model is known to underestimate the factor of safety due to the absence of boundary effects. More sophisticated methods that account for the boundary effects at the toe and head of the landslide are much more computationally expensive. In this paper upper bound limit analysis (UBLA) is presented with a novel failure mechanism which consists of a translational parallelogram in the middle slope and two log-spiral components at the slope crest and slope toe to capture the boundary effect. The new approach is derived for a full range of pore water pressure conditions and validated by finite element limit analyses. For shallow landslides the translational UBLA is found to outperform the conventional log-spiral UBLA. The results of a large parametric study using the translational UBLA are then used to develop a novel analytical shallow landslide model which retains the simplicity of the traditional infinite slope model, but yet improves accuracy considerably, making this an attractive alternative for routine analysis such as landslide hazard mapping.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Author(s). This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/) |
Keywords: | Slope stability; Shallow landslide; Upper bound limit analysis; Infinite slope model; Boundary effect |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/R034575/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Jun 2022 10:43 |
Last Modified: | 14 Jun 2022 10:44 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.compgeo.2022.104841 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:187707 |