Bayesian model updating for the corrosion fatigue crack growth rate of Ni-base alloy X-750
| Autor: | Jae Young Yoon, Tae Hyun Lee, Kyungha Ryu, Sung Hyun Kim, Yong Jin Kim, Jong-Won Park |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Materials science
business.product_category 020209 energy Bayesian inference 02 engineering and technology Corrosion fatigue crack growth rate Fastener 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Probabilistic modeling Corrosion fatigue 0202 electrical engineering electronic engineering information engineering Reliability (statistics) Nickel base alloy X-750 business.industry Probabilistic logic Structural engineering lcsh:TK9001-9401 Cracking Nuclear Energy and Engineering visual_art Electronic component visual_art.visual_art_medium lcsh:Nuclear engineering. Atomic power business Hydrogen embrittlement |
| Zdroj: | Nuclear Engineering and Technology, Vol 53, Iss 1, Pp 304-313 (2021) |
| ISSN: | 1738-5733 |
| Popis: | Nickel base Alloy X-750, which is used as fastener parts in light-water reactor (LWR), has experienced many failures by environmentally assisted cracking (EAC). In order to improve the reliability of passive components for nuclear power plants (NPP's), it is necessary to study the failure mechanism and to predict crack growth behavior by developing a probabilistic failure model. In this study, The Bayesian inference was employed to reduce the uncertainties contained in EAC modeling parameters that have been established from experiments with Alloy X-750. Corrosion fatigue crack growth rate model (FCGR) was developed by fitting into Paris’ Law of measured data from the several fatigue tests conducted either in constant load or constant ΔK mode. These parameters characterizing the corrosion fatigue crack growth behavior of X-750 were successfully updated to reduce the uncertainty in the model by using the Bayesian inference method. It is demonstrated that probabilistic failure models for passive components can be developed by updating a laboratory model with field-inspection data, when crack growth rates (CGRs) are low and multiple inspections can be made prior to the component failure. |
| Databáze: | OpenAIRE |
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