Bayesian approach for the lethargy coefficient estimation in the probabilistic creep-fatigue life model

Jaehyeok Doh, Junhwan Byun, Jongsoo Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The researches of Prognostics and Health Management (PHM) have been important in the field of engineering. The crack is propagated by high temperature and stress in power plants, vehicle engines and etc. The defect and damage are also accumulated. Therefore, it is necessary for design of creep-fatigue life about various structures and etc. In this study, probabilistic life design based on Zhurkov life model was performed using the lethargy coefficient under the variety of temperatures and stress conditions. For this work, the integration life equation was derived using Zhurkov life model. The deterministic lethargy coefficient is calculated to using the reference of the Small Punch (SP)-Creep test and tensile-shear test data about steel material (rupture stress and rupture time). Markov Chain Monte Carlo (MCMC) sampling method based on Bayesian framework is employed for estimating the lethargy coefficient and considering its uncertainties. As a result, predicted creepfatigue life was observed that it was considerably decreased in accordance with increasing temperature and stress conditions relatively. This life model is reasonable through comparing with conventional creep-fatigue life data.

Original languageEnglish
Title of host publicationPHM 2016 - Proceedings of the Annual Conference of the Prognostics and Health Management Society
EditorsMatthew J. Daigle, Anibal Bregon
PublisherPrognostics and Health Management Society
Pages355-362
Number of pages8
ISBN (Electronic)9781936263059
Publication statusPublished - 2016 Jan 1
Event2016 Annual Conference of the Prognostics and Health Management Society, PHM 2016 - Denver, United States
Duration: 2016 Oct 32016 Oct 6

Publication series

NameProceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
Volume2016-October
ISSN (Print)2325-0178

Other

Other2016 Annual Conference of the Prognostics and Health Management Society, PHM 2016
CountryUnited States
CityDenver
Period16/10/316/10/6

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All Science Journal Classification (ASJC) codes

  • Information Systems
  • Electrical and Electronic Engineering
  • Health Information Management
  • Computer Science Applications

Cite this

Doh, J., Byun, J., & Lee, J. (2016). Bayesian approach for the lethargy coefficient estimation in the probabilistic creep-fatigue life model. In M. J. Daigle, & A. Bregon (Eds.), PHM 2016 - Proceedings of the Annual Conference of the Prognostics and Health Management Society (pp. 355-362). (Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM; Vol. 2016-October). Prognostics and Health Management Society.