Study of load history effects on the high cycle fatigue properties of high-strength low-alloy steel from self-heating measurements

¹ Institut de Recherche Dupuy de Lôme (FRE 3744), UBS/UBBO/ENSTA-Bretagne/ENIB – 2, rue François Verny 29806 Brest cedex 9, France
² ArcelorMittal Maizières Research, Voie Romaine 57283 Maizières-lès-Metz cedex, France

^* Corresponding author: julien.louge@ensta-bretagne.org

Abstract

In the context of high cycle fatigue (HCF), the experimental characterization of the fatigue properties is often performed by using specimens in a virgin state (i.e., without preliminary loading), and with a constant stress amplitude for each specimen. However, the load history applied to a real structure is more complex and the fatigue life prediction remains a difficult task because of the time dedicated to the classical fatigue tests (i.e., the specimen is loaded until failure) and the dispersion of fatigue lives. The load history effects on the HCF properties is characterized using an alternative method: self-heating measurements under cyclic loadings. This method is based on the observation of the mean steady state temperature evolution of a specimen under a successive series of cyclic loadings with increasing stress amplitude for each loading series. A probabilistic two-scale model was developed from the self-heating method able to predict HCF properties. Some self-heating tests are performed to study the influence of a load history effects. It seems that the plasticity is the most influential factor. So, the evolution of the plasticity is observed at the surface of the material under cyclic loading. There is a significant evolution in function of the plastic pre-strain.