Severe accident analysis is the technical basis of severe accident prevention and mitigation, and severe accident phenomenon analysis can provide important technical support for Level-2 Probabilistic Safety Analysis (L2 PSA) and severe accident management of NPP. This paper evaluates the probability of creep-induced steam generator tubes rupture (SGTR) which might lead to direct release of radioactive material to environment based on Risk-Oriented Accident Analysis Methodology (ROAAM). According to Larson-Miller creep failure model, the material parameters are provided first, then a two-loop NPP model is established with MAAP4 code to assess the temperature and pressure of the pipes for typical sequences, and eventually the probability of creep-induced SGTR phenomenon for typical sequences is calculated.
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2018 26th International Conference on Nuclear Engineering
July 22–26, 2018
London, England
Conference Sponsors:
- Nuclear Engineering Division
ISBN:
978-0-7918-5144-9
PROCEEDINGS PAPER
Probabilistic Analysis of Creep-Induced SGTR for NPP
Wenjing Li,
Wenjing Li
China Nuclear Power Engineering Co., Ltd., Beijing, China
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Wentao Zhu,
Wentao Zhu
China Nuclear Power Engineering Co., Ltd., Beijing, China
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Xinli Yu,
Xinli Yu
China Nuclear Power Engineering Co., Ltd., Beijing, China
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Wei Wei
Wei Wei
China Nuclear Power Engineering Co., Ltd., Beijing, China
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Wenjing Li
China Nuclear Power Engineering Co., Ltd., Beijing, China
Wentao Zhu
China Nuclear Power Engineering Co., Ltd., Beijing, China
Xinli Yu
China Nuclear Power Engineering Co., Ltd., Beijing, China
Wei Wei
China Nuclear Power Engineering Co., Ltd., Beijing, China
Paper No:
ICONE26-81032, V002T14A001; 5 pages
Published Online:
October 24, 2018
Citation
Li, W, Zhu, W, Yu, X, & Wei, W. "Probabilistic Analysis of Creep-Induced SGTR for NPP." Proceedings of the 2018 26th International Conference on Nuclear Engineering. Volume 2: Plant Systems, Structures, Components, and Materials; Risk Assessments and Management. London, England. July 22–26, 2018. V002T14A001. ASME. https://doi.org/10.1115/ICONE26-81032
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