Sattar, M. and Othman, A.R. and Kamaruddin, S. and Akhtar, M. and Khan, R. (2022) Limitations on the computational analysis of creep failure models: A review. Engineering Failure Analysis, 134.
Full text not available from this repository.Abstract
Traditionally, the detection of the creep responses has been carried out using empirical methods containing multiple adjustable parameters. This makes it very difficult to estimate the material� creep behaviour outside the original data set. In recent years, the researchers have devised simple models for the prediction of creep properties, covering dislocation, particle and solid solution hardening. There are no adjustable parameters in these versions, these models are further explored in this study in order to establish an optimized solution for the creep analysis. This paper presents a review of the five established models which are Norton Bailey, Omega, Kachanov-Rabotnov, Theta projection and Sine hyperbolic models. In depth analysis of these five creep models was conducted, highlighting the significance of their application and the demerits of their usage. First, creep phenomenon was explained, followed by creep mechanism and creep crack growth characterization. Historical development of the models was explained briefly followed by creep material models limitations. With the help of case studies, pros and cons of using the models were further highlighted and comparison was drawn among the models. Finally, future development of creep prediction models and their scope came into limelight. It is anticipated that this review paper will become a reliable reference for the selection of creep prediction models. © 2022 Elsevier Ltd
Item Type: | Article |
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Impact Factor: | cited By 1 |
Uncontrolled Keywords: | Cracks; Failure (mechanical); Forecasting; Lime, Adjustable parameters; Computational analysis; Creep behaviors; Creep failure; Creep material model; Creep prediction; Creep-rupture; Damage evolution; Material modeling; Prediction modelling, Creep |
Depositing User: | Mr Ahmad Suhairi Mohamed Lazim |
Date Deposited: | 07 Sep 2022 08:27 |
Last Modified: | 07 Sep 2022 08:27 |
URI: | http://scholars.utp.edu.my/id/eprint/33607 |