Numerical analysis of melt migration and solidification behavior in LBR severe accident with MPS method
In Lead-based reactor (LBR) severe accident, the meltdown and migration inside the reactor core will lead to fuel fragment concentration, which may further cause re-criticality and even core disintegration. Accurately predicting the migration and solidification behavior of melt in LBR severe acciden...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-01-01
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| Series: | Nuclear Engineering and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1738573321004666 |
| _version_ | 1798014876817293312 |
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| author | Jinshun Wang Qinghang Cai Ronghua Chen Xinkun Xiao Yonglin Li Wenxi Tian Suizheng Qiu G.H. Su |
| author_facet | Jinshun Wang Qinghang Cai Ronghua Chen Xinkun Xiao Yonglin Li Wenxi Tian Suizheng Qiu G.H. Su |
| author_sort | Jinshun Wang |
| collection | DOAJ |
| description | In Lead-based reactor (LBR) severe accident, the meltdown and migration inside the reactor core will lead to fuel fragment concentration, which may further cause re-criticality and even core disintegration. Accurately predicting the migration and solidification behavior of melt in LBR severe accidents is of prime importance for safety analysis of LBR. In this study, the Moving Particle Semi-implicit (MPS) method is validated and used to simulate the migration and solidification behavior. Two main surface tension models are validated and compared. Meanwhile, the MPS method is validated by the l-plate solidification test. Based on the improved MPS method, the migration and solidification behavior of melt in LBR severe accident was studied furthermore. In the Pb–Bi coolant, the melt flows upward due to density difference. The migration and solidification behavior are greatly affected by the surface tension and viscous resistance varying with enthalpy. The whole movement process can be divided into three stages depending on the change in velocity. The heat transfer of core melt is determined jointly by two heat transfer modes: flow heat transfer and solid conductivity. Generally, the research results indicate that the MPS method has unique advantage in studying the migration and solidification behavior in LBR severe accident. |
| first_indexed | 2024-04-11T15:25:25Z |
| format | Article |
| id | doaj.art-1dc3be4145184bec85606c90072d0a8c |
| institution | Directory Open Access Journal |
| issn | 1738-5733 |
| language | English |
| last_indexed | 2024-04-11T15:25:25Z |
| publishDate | 2022-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Nuclear Engineering and Technology |
| spelling | doaj.art-1dc3be4145184bec85606c90072d0a8c2022-12-22T04:16:16ZengElsevierNuclear Engineering and Technology1738-57332022-01-01541162176Numerical analysis of melt migration and solidification behavior in LBR severe accident with MPS methodJinshun Wang0Qinghang Cai1Ronghua Chen2Xinkun Xiao3Yonglin Li4Wenxi Tian5Suizheng Qiu6G.H. Su7School of Nuclear Science and Technology, Shaanxi Key Laboratory of Advanced Nuclear Energy and Technology, State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an, 710049, ChinaSchool of Nuclear Science and Technology, Shaanxi Key Laboratory of Advanced Nuclear Energy and Technology, State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an, 710049, ChinaCorresponding author. ).; School of Nuclear Science and Technology, Shaanxi Key Laboratory of Advanced Nuclear Energy and Technology, State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an, 710049, ChinaSchool of Nuclear Science and Technology, Shaanxi Key Laboratory of Advanced Nuclear Energy and Technology, State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an, 710049, ChinaSchool of Nuclear Science and Technology, Shaanxi Key Laboratory of Advanced Nuclear Energy and Technology, State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an, 710049, ChinaSchool of Nuclear Science and Technology, Shaanxi Key Laboratory of Advanced Nuclear Energy and Technology, State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an, 710049, ChinaSchool of Nuclear Science and Technology, Shaanxi Key Laboratory of Advanced Nuclear Energy and Technology, State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an, 710049, ChinaSchool of Nuclear Science and Technology, Shaanxi Key Laboratory of Advanced Nuclear Energy and Technology, State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an, 710049, ChinaIn Lead-based reactor (LBR) severe accident, the meltdown and migration inside the reactor core will lead to fuel fragment concentration, which may further cause re-criticality and even core disintegration. Accurately predicting the migration and solidification behavior of melt in LBR severe accidents is of prime importance for safety analysis of LBR. In this study, the Moving Particle Semi-implicit (MPS) method is validated and used to simulate the migration and solidification behavior. Two main surface tension models are validated and compared. Meanwhile, the MPS method is validated by the l-plate solidification test. Based on the improved MPS method, the migration and solidification behavior of melt in LBR severe accident was studied furthermore. In the Pb–Bi coolant, the melt flows upward due to density difference. The migration and solidification behavior are greatly affected by the surface tension and viscous resistance varying with enthalpy. The whole movement process can be divided into three stages depending on the change in velocity. The heat transfer of core melt is determined jointly by two heat transfer modes: flow heat transfer and solid conductivity. Generally, the research results indicate that the MPS method has unique advantage in studying the migration and solidification behavior in LBR severe accident.http://www.sciencedirect.com/science/article/pii/S1738573321004666MPS methodSevere accidentMigration and solidificationNumerical simulation |
| spellingShingle | Jinshun Wang Qinghang Cai Ronghua Chen Xinkun Xiao Yonglin Li Wenxi Tian Suizheng Qiu G.H. Su Numerical analysis of melt migration and solidification behavior in LBR severe accident with MPS method Nuclear Engineering and Technology MPS method Severe accident Migration and solidification Numerical simulation |
| title | Numerical analysis of melt migration and solidification behavior in LBR severe accident with MPS method |
| title_full | Numerical analysis of melt migration and solidification behavior in LBR severe accident with MPS method |
| title_fullStr | Numerical analysis of melt migration and solidification behavior in LBR severe accident with MPS method |
| title_full_unstemmed | Numerical analysis of melt migration and solidification behavior in LBR severe accident with MPS method |
| title_short | Numerical analysis of melt migration and solidification behavior in LBR severe accident with MPS method |
| title_sort | numerical analysis of melt migration and solidification behavior in lbr severe accident with mps method |
| topic | MPS method Severe accident Migration and solidification Numerical simulation |
| url | http://www.sciencedirect.com/science/article/pii/S1738573321004666 |
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