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

Simple item page
dc.contributor.authorChoi, Jen_AU
dc.contributor.authorBortolan Neto, Len_AU
dc.contributor.authorWright, RNen_AU
dc.contributor.authorKruzic, JJen_AU
dc.contributor.authorMuránsky, Oen_AU
dc.date.accessioned2023-04-06T02:18:47Zen_AU
dc.date.available2023-04-06T02:18:47Zen_AU
dc.date.issued2022-10en_AU
dc.date.statistics2022-12-15en_AU
dc.description.abstractThe 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. Crown Copyright © 2022 Published by Elsevier Ltd.en_AU
dc.identifier.articlenumber104721en_AU
dc.identifier.citationChoi, J., Bortolan Neto, L., Wright, R. N., Kruzic, J. J., & Muránsky, O. (2022). On the prediction of creep behaviour of alloy 617 using Kachanov-Rabotnov model coupled with multi-objective genetic algorithm optimisation. International Journal of Pressure Vessels and Piping, 199, 104721. doi:10.1016/j.ijpvp.2022.104721en_AU
dc.identifier.issn0308-0161en_AU
dc.identifier.journaltitleInternational Journal of Pressure Vessels and Pipingen_AU
dc.identifier.urihttps://doi.org/10.1016/j.ijpvp.2022.104721en_AU
dc.identifier.urihttps://apo.ansto.gov.au/dspace/handle/10238/14814en_AU
dc.identifier.volume199en_AU
dc.language.isoenen_AU
dc.publisherElsevieren_AU
dc.subjectForecastingen_AU
dc.subjectCreepen_AU
dc.subjectAlloysen_AU
dc.subjectOxidizationen_AU
dc.subjectAlgorithmsen_AU
dc.subjectDeformationen_AU
dc.titleOn the prediction of creep behaviour of alloy 617 using Kachanov-Rabotnov model coupled with multi-objective genetic algorithm optimisationen_AU
dc.typeJournal Articleen_AU
Files
Original bundle
Now showing 1 - 3 of 3
Thumbnail Image
Name:
1-s2.0-S0308016122001107-main.pdf
Size:
8.07 MB
Format:
Adobe Portable Document Format
Description:
Download
Thumbnail Image
Name:
1-s2.0-S0308016122001107-mmc1.xlsx
Size:
1.81 MB
Format:
Microsoft Excel XML
Description:
Download
Thumbnail Image
Name:
1-s2.0-S0308016122001107-mmc2.xlsx
Size:
14.6 KB
Format:
Microsoft Excel XML
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Journal Articles