On the prediction of creep behaviour of alloy 617 using Kachanov-Rabotnov model coupled with multi-objective genetic algorithm optimisation. (October 2022)

• Record Type: Journal Article
• Authors: Choi, J.; Bortolan Neto, L.; Wright, R.N.; Kruzic, J.J.; Muránsky, O.
• Is Part Of: International journal of pressure vessels and piping. Volume 199(2022)
• Publication Date: 2022-10
• Subjects: Creep deformation -- Alloy 617 -- Kachanov-rabotnov model -- Multi-objective genetic algorithm -- Lifetime prediction; Pressure vessels -- Periodicals; Pipe -- Periodicals; Récipients sous pression -- Périodiques; Tuyaux -- Périodiques; Pipe; Pressure vessels; Periodicals; 681.76041
• DOI: 10.1016/j.ijpvp.2022.104721
• Languages: English
• ISSNs: 0308-0161

Abstract

Abstract: The accurate prediction of elevated-temperature creep behaviour of alloys is important for preventing catastrophic failure of systems operating under prolonged elevated temperature-stress conditions. Here, we couple the Kachanov-Rabotnov (K-R) creep model with a multi-objective genetic algorithm (MOGA) to predict the creep behaviour of Alloy 617 at 800 °C, 900 °C, and 1000 °C, under various stress conditions. It is shown that the MOGA-optimised K-R creep model can capture the overall elevated-temperature behaviour of the alloy at 800 °C under a wide range of stress conditions. However, at 900 °C and 1000 °C, oxidation leads to the atypical accumulation of creep plasticity, which the K-R model cannot account for. Nevertheless, it is shown that the proposed methodology of optimising the K-R model with a MOGA can consistently provide accurate results within the limits of the K-R model. Highlights: Kachanov-Rabotnov model is able to capture high-temperature creep behaviour of Alloy 617. Kachanov-Rabotnov model was able to predict the time-to-failure with excellent accuracy at 800 °C. Accuracy of Kachanov-Rabotnov model is affected by the surface oxidation at 900 °C and 1000 °C. Multi-Objective Genetic Algorithm is successfully used in material model calibration.