Simulations of isothermal and thermomechanical fatigue of a polycrystal made out of austenitic stainless steels and relation to the Coffin-Manson law

Tirbonod, B.

doi:10.1016/j.tafmec.2020.102656

Cited by 4 publications

(1 citation statement)

References 29 publications

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“…With the development of computer technology, artificial intelligence neural network algorithms [12,13] are applied to calculate the fatigue life of 316 stainless steel. In addition, as a traditional fatigue life prediction method, the Coffin-Manson criterion is still used in various studies proposed by Tirbonod [14] and Yuan et al [15]. For the above evaluation method, the creep-fatigue interaction deformation is always the most crucial part for life prediction.…”

Section: Introductionmentioning

confidence: 99%

A non-unified viscoplastic constitutive model based on irreversible thermodynamics and creep-fatigue life prediction for Type 316 stainless

Cui

Zeng

Xiao

et al. 2022

Mater. Res. Express

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In this work, to describe the cycle behavior considering fatigue-creep interaction, a non-unified viscoplastic constitutive model for 316 stainless steel is derived within the irreversible thermodynamic framework. The internal variables considering kinematic and isotropic hardening properties are selected to construct the evolution equation of visco-plastic and creep terms. The proposed constitutive model was validated by the comparison with the existing literature. It was manifested that this constitutive model could successfully predict the hardening behavior and stress relaxation process under the cyclic loading. During the dwell period, the increment of the inelastic strain is decomposed into the viscoplastic and creep term. The viscoplastic deformation dominates first stage of the stress relaxation, while the stable stage is controlled by the creep term. Finally, the predicted values of mean stress are taken into the Manson-Coffin law, the low cycle fatigue life prediction are carried out based on the numerical model, which showed robust correlation with experimental results.

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