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Accurate fatigue life prediction is essential for ensuring the reliability of engineering designs, particularly under thermo-mechanical fatigue conditions. This study focuses on investigating the isothermal and thermo-mechanical low-cycle fatigue of 316 FR stainless steel using finite element analysis in ABAQUS. The research evaluates the accuracy of fatigue life prediction using the total strain energy density-based approach, including Masing and non-Masing methods. The predicted results, when compared with experimental data, highlight the high accuracy of FEA in replicating cyclic behavior under both loading conditions. Additionally, the non-Masing method exhibits the highest accuracy for fatigue life prediction, particularly under isothermal loading conditions. |
