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A shear history model for capturing the liquefaction resistance of sands at various cyclic stress ratios
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Moller_et_al-2024-A shear history model for liquefaction.pdf | Published version | 1.88 MB | Adobe PDF | View/Open |
Title: | A shear history model for capturing the liquefaction resistance of sands at various cyclic stress ratios |
Authors: | Möller, JK Taborda, DMG Kontoe, S Potts, DM |
Item Type: | Journal Article |
Abstract: | Various constitutive formulations have been developed over the years to reproduce the cyclic resistance of sands. A common challenge for existing models is the accurate simulation of the cyclic strength of sands for a wide range of initial conditions and different cyclic stress levels when adopting a single calibration. Many liquefaction models tend to overpredict the resistance of the soil under large-amplitude loading, while underestimating the strength at low-amplitude cyclic shearing. This manifests itself in slopes of simulated cyclic resistance ratio curves (CRR-curves) which are steeper than experimental studies indicate. This paper provides a discussion on the effects of large-amplitude and low-amplitude cyclic shearing on a granular material based on micromechanical and experimental investigations presented in the literature. A constitutive model with a shear-history threshold is proposed, which accounts for a shift of the apparent angle of phase transformation under cyclic loading. In addition, a novel expression for a deviatoric fabric tensor is introduced to describe the evolution of shear-induced fabric anisotropy while a soil is dilating and contracting. Combining these two features in one formulation within the bounding surface plasticity framework enables an accurate prediction of cyclic strength of sands under a wide range of cyclic stress ratios. |
Issue Date: | Feb-2024 |
Date of Acceptance: | 11-Nov-2023 |
URI: | http://hdl.handle.net/10044/1/108775 |
DOI: | 10.1016/j.compgeo.2023.105940 |
ISSN: | 0266-352X |
Publisher: | Elsevier |
Start Page: | 105940 |
End Page: | 105940 |
Journal / Book Title: | Computers and Geotechnics |
Volume: | 166 |
Copyright Statement: | © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Publication Status: | Published |
Article Number: | 105940 |
Online Publication Date: | 2023-12-12 |
Appears in Collections: | Civil and Environmental Engineering |
This item is licensed under a Creative Commons License