2022
DOI: 10.1111/ffe.13827
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Self‐heating measurements under cyclic loading to identify history effects on HCF properties of high‐strength low‐alloy steel: Part II—Modeling

Abstract: 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 p… Show more

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Cited by 7 publications
(12 citation statements)
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“…All of these findings are used to propose a numerical model based on self‐heating measurements, which will be able to predict load history effects on fatigue properties, given in the accompanying paper 54 …”
Section: Discussionmentioning
confidence: 99%
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“…All of these findings are used to propose a numerical model based on self‐heating measurements, which will be able to predict load history effects on fatigue properties, given in the accompanying paper 54 …”
Section: Discussionmentioning
confidence: 99%
“…The proposed numerical approach allowing to assess fatigue properties from self-heating measurements is given in an accompanying paper. 54…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The number of PSBs increased with loading amplitude. Pre‐loading history effect Louge et al 108 took the pre‐loading history effects into account, and the model was then validated by predicting the effect of plastic pre‐strain and cyclic pre‐loading on S–N curves. Saint‐Sulpice et al 109 recently modified this model to: Nfgoodbreak=EcCfvitalicVδ()σmaxgoodbreak−Σ()PF with the parameter EcCfvitalicVδ identified using Nf of the highest stress loading.…”
Section: Fatigue Life Prediction Methodsmentioning
confidence: 99%
“…• Pre-loading history effect Louge et al 108 took the pre-loading history effects into account, and the model was then validated by predicting the effect of plastic pre-strain and cyclic pre-loading on S-N curves. Saint-Sulpice et al 109 recently modified this model to:…”
Section: = 16mentioning
confidence: 99%