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 language | English |
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| Title of host publication | PHM 2016 - Proceedings of the Annual Conference of the Prognostics and Health Management Society |
| Editors | Matthew J. Daigle, Anibal Bregon |
| Publisher | Prognostics and Health Management Society |
| Pages | 355-362 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781936263059 |
| Publication status | Published - 2016 |
| Event | 2016 Annual Conference of the Prognostics and Health Management Society, PHM 2016 - Denver, United States Duration: 2016 Oct 3 → 2016 Oct 6 |
Publication series
| Name | Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM |
|---|---|
| Volume | 2016-October |
| ISSN (Print) | 2325-0178 |
Other
| Other | 2016 Annual Conference of the Prognostics and Health Management Society, PHM 2016 |
|---|---|
| Country/Territory | United States |
| City | Denver |
| Period | 16/10/3 → 16/10/6 |
Bibliographical note
Funding Information:This research is supported by the Basic Science Research Program through the National Research Foundation of Republic of Korea (NRF), funded by the Ministry of Education, Science and Technology (2014055282).
All Science Journal Classification (ASJC) codes
- Information Systems
- Electrical and Electronic Engineering
- Health Information Management
- Computer Science Applications