# Dataset on the behaviour of the Areolas da Estefania formation in Lisbon and its modelling using a state-dependent soil model

## TL;DR

This paper provides experimental and computational data on a specific soil in Lisbon to help model its behavior for underground infrastructure projects.

## Contribution

The study introduces a state-dependent soil model for Areolas da Estefania, combining non-linear stiffness with strength and dilatancy.

## Key findings

- The material's behavior was tested under various stress levels, revealing stress-strain relationships.
- Bender element tests characterized the material's response at very small strains.
- A computational model successfully reproduces the material's behavior for engineering applications.

## 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.