Full-field analysis of damage under complex thermomechanical loading - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue International Journal of Fatigue Année : 2023

Full-field analysis of damage under complex thermomechanical loading

Alain Köster
Djamel Missoum-Benziane
Vincent Maurel

Résumé

This study combines infrared thermography, digital image correlation and machine learning to measure respectively temperature, strain and damage fields at high temperature. This is applied to thermomechanical fatigue (TMF) testing in presence of severe gradient for typical out-of-phase loading condition. This type of loading is challenging when dealing with thin sheets due to buckling risk induced by high temperature compression. For a Co-based superalloy (Haynes 188), this study demonstrates full-field identification/validation of both behavior and damage models. Thermal gradient model is the key point in this analysis. With the coupling of TMF measurements by machine learning and DIC, local fatigue micro-crack growth rate and localisation are assessed through jump in displacement. TMF finite element analysis, of loading and damage, validates the whole model framework.
Fichier principal
Vignette du fichier
leostIJF23_fullfield.pdf (23.52 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03959369 , version 1 (27-01-2023)

Identifiants

Citer

Nicolas Leost, Alain Köster, Djamel Missoum-Benziane, Matthieu Rambaudon, Laurent Cameriano, et al.. Full-field analysis of damage under complex thermomechanical loading. International Journal of Fatigue, 2023, pp.107513. ⟨10.1016/j.ijfatigue.2023.107513⟩. ⟨hal-03959369⟩
85 Consultations
24 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More