Dataset on the behaviour of the Areolas da Estefania formation in Lisbon and its modelling using a state-dependent soil model
File(s)
Published version
Author(s)
Pedro, Antonio MG
Taborda, David MG
Type
Journal Article
Abstract
Experimental and computational data are presented for Areolas da Estefania, a geomaterial which is crucial for the development of the underground infrastructure of the city of Lisbon, Portugal. The experimental data comprise the particle size distribution of the material and measurements obtained during a series of strain-controlled triaxial compression tests performed on intact samples. The behaviour of this material at a wide range of strains, under constant mean effective stress levels of 130 kPa, 300 kPa and 400 kPa is established, with the presented dataset containing information on stress (mean effective stress and deviatoric stress) and strain states (axial strain and volumetric strain). These are complemented by the results of bender element tests imposing vertically-travelling waves for characterisation at very small strains. Complementarily, the computational dataset establishes a reference reproduction of the response of Areolas da Estefania using a material model which combines a non-linear small stiffness formulation with a state-dependent strength and plastic dilatancy. Overall, this dataset can be used as a reference when assessing the behaviour of other samples of Areolas da Estefania or comparable materials, or when evaluating constitutive models for granular geomaterials.
Date Issued
2024-06
Date Acceptance
2024-04-03
Citation
Data in Brief, 2024, 54
ISSN
2352-3409
Publisher
Elsevier
Journal / Book Title
Data in Brief
Volume
54
Copyright Statement
© 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/)
(http://creativecommons.org/licenses/by/4.0/)
License URL
Identifier
https://www.sciencedirect.com/science/article/pii/S2352340924003603?via%3Dihub
Publication Status
Published
Article Number
110391
Date Publish Online
2024-04-08