Limitations on the computational analysis of creep failure models: A review
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 mod...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Published: |
Elsevier Ltd
2022
|
| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122626467&doi=10.1016%2fj.engfailanal.2021.105968&partnerID=40&md5=185f7730acd3b54aaed77541c2365016 http://eprints.utp.edu.my/28598/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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 |
|---|