New Approach for Fatigue Damage Monitoring Based on Actual Operating History of Nuclear Power Plants

Shim, Hee-Jin; Oh, Chang-Kyun; Kim, Hyunsun; Boo, Myung-Hwan; Kwon, Jong-Jooh

doi:10.13182/nt13-150

Cited by 2 publications

(1 citation statement)

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“…316 stainless steel is widespread applicated in pressure-bearing parts in the fields of chemical industry, nuclear power, and aerospace due to its reliable safety and high temperature stability [1][2][3][4][5]. Generally, during the operation of the equipment, the pressure and temperature fluctuation produces cyclic loading which will cause the fatigue damage to the equipment and the inherent stress relaxation during steady operation induces creep deformation [6,7]. For example, the main container of the ITER tritium storage system bed is made of 316 stainless steel [8,9].…”

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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