The 2nd International Electronic Conference on Applied Sciences 2021
DOI: 10.3390/asec2021-11116
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A Numerical Analysis on the Cyclic Behavior of 316 FR Stainless Steel and Fatigue Life Prediction

Abstract: The present work aims to predict the cyclic behavior and fatigue life of 316 FR stainless steel specimens at 650 °C. First, the samples were modeled using finite element analysis under different strain amplitudes, and the obtained numerical hysteresis loops were compared against experimental results available in the literature. Then, the fatigue life was estimated using different fatigue life prediction models, namely the Coffin–Manson model, Ostergren’s damage function, and Smith–Watson–Topper model, and was … Show more

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Cited by 3 publications
(2 citation statements)
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“…Through a combination of LCF and TMF tests, the author generated substantial results related to stress-strain data, cyclic plasticity behavior, and creep-fatigue damage evolution. Abarkan et al [12] recently performed a numerical study on the cycle behavior of 316 FR SS and tested the accuracy of several fatigue life prediction models under LCF, contributing valuable insights to the understanding of this material performance.…”
Section: Introductionmentioning
confidence: 99%
“…Through a combination of LCF and TMF tests, the author generated substantial results related to stress-strain data, cyclic plasticity behavior, and creep-fatigue damage evolution. Abarkan et al [12] recently performed a numerical study on the cycle behavior of 316 FR SS and tested the accuracy of several fatigue life prediction models under LCF, contributing valuable insights to the understanding of this material performance.…”
Section: Introductionmentioning
confidence: 99%
“…Meanwhile, the failure of material in a periodic-load environment at high temperatures can not only lead to damage by fatigue but also damage by oxidation mechanism, thus requiring a model that can reflect both of these damage mechanisms for a more precise prediction of the fatigue life of austenitic stainless steel [10]. The Coffin-Manson or Smith-Watson-Toper models have been used to predict the low-cycle fatigue (LCF) life but are limited in predicting accurate fatigue life by reflecting the damage mechanisms, such as fatigue and oxidation in a high-temperature region [11][12][13]. Sehitoglu et al proposed the Neu-Sehitoglu model that classified fatigue damages occurring in a high-temperature, periodic-load environment into fatigue, creep, and oxidation damages [14][15][16].…”
Section: Introductionmentioning
confidence: 99%