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Article

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Title

Advantages and limitations of an α-plasticity model for sand

Authors

[ 1 ] Instytut Analizy Konstrukcji, Wydział Inżynierii Lądowej i Transportu, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.7] Civil engineering and transport

Year of publication

2020

Published in

Acta Geotechnica

Journal year: 2020 | Journal volume: vol. 15

Article type

scientific article

Publication language

english

Keywords
EN
  • fractional derivative
  • liquefaction
  • plasticity
  • sand
  • state-dependent dilatancy
Abstract

EN The stress–strain response of sand was observed to depend on its material state, i.e., pressure and density. Successful modelling of such state-dependent response of sand relied on the correct representation of its state-dependent stress–dilatancy behaviour. In this study, an improved fractional-order (α) plasticity model for sands with a wide range of initial void ratios and pressures is proposed, based on a state-dependent fractional-order plastic flow rule and a modified yielding surface. Potential positive performances and negative limitations of the proposed approach in terms of the critical state of sand are discussed, based on the simulations of a series of drained and undrained triaxial tests of different sands. It can be found that unlike previous fractional models, the developed model can reasonably simulate the key features, e.g., strain softening/hardening, volumetric dilation/contraction, liquefaction, quasi-steady-state flow as well as steady-state flow, of sand for a wide range of initial states. However, due to typical forms of the critical-state lines being used, negative performances of the fractional approach could occur when simulating the undrained behaviour of very loose sand and the drained behaviour of very dense sand.

Date of online publication

13.10.2019

Pages (from - to)

1423 - 1437

DOI

10.1007/s11440-019-00877-9

URL

https://link.springer.com/article/10.1007%2Fs11440-019-00877-9

Ministry points / journal

140

Ministry points / journal in years 2017-2021

140

Impact Factor

5,856

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