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

被引：9

作者：

Louge, Julien ^{[1
,2
]}

Moyne, Sylvain ^{[1
]}

Doudard, Cedric ^{[1
]}

Calloch, Sylvain ^{[1
]}

Weber, Bastien ^{[2
]}

Munier, Remi ^{[2
]}

机构：

[1] ENSTA Bretagne IRDL, UMR CNRS 6027, 2 Rue Franois Verny, F-29806 Brest, France

[2] ArcelorMittal Global R&D, BP 30320, F-57283 Maizieres Les Metz, France

来源：

FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES | 2022年 / 45卷 / 12期

关键词：

high cycle fatigue; probabilistic two-scale model; Poisson point process; load history effects; FATIGUE; MECHANISMS;

D O I：

10.1111/ffe.13827

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

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.

引用

页码：3524 / 3534

页数：11

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