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...

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Main Authors: Sattar, M., Othman, A.R., Kamaruddin, S., Akhtar, M., Khan, R.
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/33607/
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spelling my.utp.eprints.336072022-09-07T08:27:41Z Limitations on the computational analysis of creep failure models: A review Sattar, M. Othman, A.R. Kamaruddin, S. Akhtar, M. Khan, R. 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 Elsevier Ltd 2022 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122626467&doi=10.1016%2fj.engfailanal.2021.105968&partnerID=40&md5=185f7730acd3b54aaed77541c2365016 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 . http://eprints.utp.edu.my/33607/
institution Universiti Teknologi Petronas
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collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description 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
format Article
author Sattar, M.
Othman, A.R.
Kamaruddin, S.
Akhtar, M.
Khan, R.
spellingShingle Sattar, M.
Othman, A.R.
Kamaruddin, S.
Akhtar, M.
Khan, R.
Limitations on the computational analysis of creep failure models: A review
author_facet Sattar, M.
Othman, A.R.
Kamaruddin, S.
Akhtar, M.
Khan, R.
author_sort Sattar, M.
title Limitations on the computational analysis of creep failure models: A review
title_short Limitations on the computational analysis of creep failure models: A review
title_full Limitations on the computational analysis of creep failure models: A review
title_fullStr Limitations on the computational analysis of creep failure models: A review
title_full_unstemmed Limitations on the computational analysis of creep failure models: A review
title_sort limitations on the computational analysis of creep failure models: a review
publisher Elsevier Ltd
publishDate 2022
url 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/33607/
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