Self‐heating measurements under cyclic loading to identify history effects on HCF properties of high‐strength low‐alloy steel: Part II—Modeling - ENSTA Bretagne - École nationale supérieure de techniques avancées Bretagne Accéder directement au contenu
Article Dans Une Revue Fatigue and Fracture of Engineering Materials and Structures Année : 2022

Self‐heating measurements under cyclic loading to identify history effects on HCF properties of high‐strength low‐alloy steel: Part II—Modeling

Résumé

The present paper proposes a new version of a model for high cycle fatigue of steels able to take load history effects into account. This model is developed in a probabilistic two-scale framework. The proposed model accounts not only for the failure of samples under high cycle loadings but also for the thermal effects during cycling in a unified theoretical framework. Thus, an ad hoc identification procedure, essentially based on self-heating tests under cyclic loadings provided in the accompanying paper, is proposed. The model was then validated by predicting the effect of a pre-cycling loading on S-N curves.
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Dates et versions

hal-03826782 , version 1 (24-10-2022)

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Julien Louge, Sylvain Moyne, Cédric Doudard, S. Calloch, Bastien Weber, et al.. Self‐heating measurements under cyclic loading to identify history effects on HCF properties of high‐strength low‐alloy steel: Part II—Modeling. Fatigue and Fracture of Engineering Materials and Structures, 2022, 45 (12), pp.3524-3534. ⟨10.1111/ffe.13827⟩. ⟨hal-03826782⟩
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