Identifying parameters of a discrete numerical model of soil from a geotechnical field test - Ecole Nationale des Travaux Publics de l'Etat Accéder directement au contenu
Article Dans Une Revue European Journal of Environmental and Civil Engineering Année : 2022

Identifying parameters of a discrete numerical model of soil from a geotechnical field test

Résumé

A discrete numerical model of a pressuremeter test was developed in this paper. The model is constituted of spherical particles with a contact law involving an inter-particle rolling resistance in addition to the classical Coulomb friction model. The model is calibrated from a pressuremeter test performed in the Hostun sand. An adaptive size of discretization of the soil domain is considered to limit the computational cost. Different parameter sets are defined to identify the initial density of the numerical granular assembly. Then, each parameter set leads to a different calibration of the mechanical parameters of the model in order to reproduce the pressuremeter test results. Simulations show that experimental data from a pressuremeter test alone are not enough to fully calibrate the discrete model. Other laboratory test results need to be considered in the calibration methodology. Eventually, the prediction capability of the model is assessed by comparing the simulated constitutive responses to those measured experimentally on different triaxial loading paths.
Fichier principal
Vignette du fichier
Abdallah_2021_Final_version_tex_file__Hal_.pdf (6.09 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
licence : CC BY NC - Paternité - Pas d'utilisation commerciale

Dates et versions

hal-04083040 , version 1 (28-02-2024)

Identifiants

Citer

Ali Abdallah, Rodaina Aboul Hosn, Bilal Al Tfaily, Luc Sibille. Identifying parameters of a discrete numerical model of soil from a geotechnical field test. European Journal of Environmental and Civil Engineering, 2022, 27 (5), pp.2228-2247. ⟨10.1080/19648189.2022.2119283⟩. ⟨hal-04083040⟩
56 Consultations
3 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More