Lagrangian modelling of large deformation induced by progressive failure of sensitive clays with elastoviscoplasticity - École des Ponts ParisTech Accéder directement au contenu
Article Dans Une Revue International Journal for Numerical Methods in Engineering Année : 2017

Lagrangian modelling of large deformation induced by progressive failure of sensitive clays with elastoviscoplasticity

Résumé

This paper presents a Lagrangian formulation of elastoviscoplasticity, based on the Particle Finite Element Method, for progressive failure analysis of sensitive clays. The sensitive clay is represented by an elastoviscoplastic model which is a mixture of the Bingham model, for describing rheological behaviour, and the Tresca model with strain softening for capturing the progressive failure behaviour. The finite element formulation for the incremental elastoviscoplastic analysis is reformulated, through the application of the Hellinger-Reissner variational theorem, as an equivalent optimization program that can be solved efficiently using modern algorithms such as the interior-point method. The recast formulation is then incorporated into the framework of the Particle Finite Element Method for investigating progressive failure problems related to sensitive clays, such as the collapse of a sensitive clay column and the retrogressive failure of a slope in sensitive clays, where extremely large deformation occurs.
Fichier principal
Vignette du fichier
PFEMSensitiveClays_Zhang_V6.pdf (1.82 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01485340 , version 1 (08-03-2017)

Identifiants

Citer

Xue Zhang, Daichao Sheng, Scott W Sloan, Jeremy Bleyer. Lagrangian modelling of large deformation induced by progressive failure of sensitive clays with elastoviscoplasticity. International Journal for Numerical Methods in Engineering, 2017, 112 (8), pp.963-989. ⟨10.1002/nme.5539⟩. ⟨hal-01485340⟩
139 Consultations
474 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More