Computational methods for predicting impact damage in composite structures - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Composites Science and Technology Année : 2001

Computational methods for predicting impact damage in composite structures

Résumé

This paper describes recent progress in materials modelling and numerical simulation of the impact response of fibre reinforced composite structures. A continuum damage-mechanics (CDM) model for fabric-reinforced composites is developed as a framework within which both in-ply and delamination failure may be modelled during impact loading. Damage-development equations are derived and appropriate materials parameters determined from experiments. The CDM model for in-plane failure has been implemented in a commercial explicit finite element (FE) code, and new techniques are used to model the laminate as a stack of shell elements tied by contact interface conditions. This approach allows the interlaminar layers to be modelled and strength reduction due to delamination to be represented; it also provides a computationally efficient method for the analysis of large-scale structural parts. The code is applied to predict the response of carbon-fabric-reinforced epoxy plates impacted at different velocities by a steel impactor. A comparison of structural response and failure modes from numerical simulations and impact tests is given which shows a good agreement for the prediction of delamination damage at low impact energies and fracture and penetration at higher impact energies.
Fichier principal
Vignette du fichier
JPR.pdf (470.02 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01005986 , version 1 (12-03-2017)

Licence

Domaine public

Identifiants

Citer

Alastair F. Johnson, Anthony K. Pickett, Patrick Rozycki. Computational methods for predicting impact damage in composite structures. Composites Science and Technology, 2001, 61 (15), pp.2183-2192. ⟨10.1016/S0266-3538(01)00111-7⟩. ⟨hal-01005986⟩

Relations

88 Consultations
1132 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More