Quantitative Study on Uncertainty of Bubble and Droplet Models and Parameters in COSINE Code
Large break loss of coolant accident is the most severe design basis accident. To study the uncertainty of droplet and bubble behavior models, an evaluation was conducted on the independent software COSINE multiphase field subchannel code to calculate the results of large break loss of coolant accid...
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Editorial Board of Atomic Energy Science and Technology
2025-05-01
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| Series: | Yuanzineng kexue jishu |
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| Online Access: | https://yznkxjs.xml-journal.net/article/doi/10.7538/yzk.2024.youxian.0921 |
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| author | CHENG Yixuan1, MENG Zhaocan2, 3, ZHANG Hao4, HUANG Ting2, 3, ZHAO Meng4, ZHOU Fanfan1, YANG Yanhua1, 3, 4 |
| author_facet | CHENG Yixuan1, MENG Zhaocan2, 3, ZHANG Hao4, HUANG Ting2, 3, ZHAO Meng4, ZHOU Fanfan1, YANG Yanhua1, 3, 4 |
| author_sort | CHENG Yixuan1, MENG Zhaocan2, 3, ZHANG Hao4, HUANG Ting2, 3, ZHAO Meng4, ZHOU Fanfan1, YANG Yanhua1, 3, 4 |
| collection | DOAJ |
| description | Large break loss of coolant accident is the most severe design basis accident. To study the uncertainty of droplet and bubble behavior models, an evaluation was conducted on the independent software COSINE multiphase field subchannel code to calculate the results of large break loss of coolant accidents. In response to the mechanism of large break loss of coolant accidents, its specialized software serves as an analysis tool, which puts higher demands on the accuracy and suitability of key process law analysis models. The above indicators depend on the depth of the model’s understanding and mechanism analysis of important physical processes. In order to improve the accuracy and robustness of COSINE multiphase field code for optimal estimation of large break loss of coolant accidents, the code was used for modeling and numerical calculations based on thermal hydraulic experiments in this paper. And two sensitivity quantification analysis methods were used to provide and analyze the calculation bias of temperature and water inventory. In addition, quantitative analysis was conducted on the influencing parameters and the interaction between the parameters was discussed. The results show that the calculation band for the water inventory results in the downcorner section of the refilling stage is very wide, with a maximum relative error of 33.15%, the interphase interaction between vapor and liquid has a significant impact on the mass flow rate. The calculation range of the maximum temperature of the cladding results during the reflooding stage is very narrow, and the relative error of the peak temperature of the cladding is within 3.5%, the uncertainty error of calculation is continuously amplified on the time scale. The limitation of droplet diameter plays a major role in the influence of water inventory in the downcorner section, with a correlation coefficient of 0.27. As the dimensionless velocity of the upward steam formed in the descending section changes, the diameter of the droplet directly affects its interfacial area, resulting in changes in interphase heat transfer and friction. The friction coefficients of gas and liquid droplets have the most significant impact on the maximum temperature of the cladding during the reflooding stage, with a correlation coefficient of 0.54. The relative velocity of gas and droplets determines the enhancement factor of gas convection in dispersed flow film boiling, and shows a positive correlation. In addition, the diameter limitations of droplets and bubbles have a significant impact on numerical calculations. The friction between liquid and droplets has a significant relationship with the heat transfer between droplets and the wall. |
| format | Article |
| id | doaj-art-8fd36bf5bf20433d89ad3899458fcc65 |
| institution | DOAJ |
| issn | 1000-6931 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Editorial Board of Atomic Energy Science and Technology |
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| series | Yuanzineng kexue jishu |
| spelling | doaj-art-8fd36bf5bf20433d89ad3899458fcc652025-08-20T03:08:13ZengEditorial Board of Atomic Energy Science and TechnologyYuanzineng kexue jishu1000-69312025-05-015951026103410.7538/yzk.2024.youxian.0921 Quantitative Study on Uncertainty of Bubble and Droplet Models and Parameters in COSINE CodeCHENG Yixuan1, MENG Zhaocan2, 3, ZHANG Hao4, HUANG Ting2, 3, ZHAO Meng4, ZHOU Fanfan1, YANG Yanhua1, 3, 401. College of Smart Energy, Shanghai Jiao Tong University, Shanghai 200241, China 2. State Power Investment Corporation Research Institute, Beijing 102209, China 3. National Energy Key Laboratory of Nuclear Power Software, Beijing 102209, China 4. School of Nuclear Science and Engineering, Shanghai Jiao Tong University, Shanghai 200241, ChinaLarge break loss of coolant accident is the most severe design basis accident. To study the uncertainty of droplet and bubble behavior models, an evaluation was conducted on the independent software COSINE multiphase field subchannel code to calculate the results of large break loss of coolant accidents. In response to the mechanism of large break loss of coolant accidents, its specialized software serves as an analysis tool, which puts higher demands on the accuracy and suitability of key process law analysis models. The above indicators depend on the depth of the model’s understanding and mechanism analysis of important physical processes. In order to improve the accuracy and robustness of COSINE multiphase field code for optimal estimation of large break loss of coolant accidents, the code was used for modeling and numerical calculations based on thermal hydraulic experiments in this paper. And two sensitivity quantification analysis methods were used to provide and analyze the calculation bias of temperature and water inventory. In addition, quantitative analysis was conducted on the influencing parameters and the interaction between the parameters was discussed. The results show that the calculation band for the water inventory results in the downcorner section of the refilling stage is very wide, with a maximum relative error of 33.15%, the interphase interaction between vapor and liquid has a significant impact on the mass flow rate. The calculation range of the maximum temperature of the cladding results during the reflooding stage is very narrow, and the relative error of the peak temperature of the cladding is within 3.5%, the uncertainty error of calculation is continuously amplified on the time scale. The limitation of droplet diameter plays a major role in the influence of water inventory in the downcorner section, with a correlation coefficient of 0.27. As the dimensionless velocity of the upward steam formed in the descending section changes, the diameter of the droplet directly affects its interfacial area, resulting in changes in interphase heat transfer and friction. The friction coefficients of gas and liquid droplets have the most significant impact on the maximum temperature of the cladding during the reflooding stage, with a correlation coefficient of 0.54. The relative velocity of gas and droplets determines the enhancement factor of gas convection in dispersed flow film boiling, and shows a positive correlation. In addition, the diameter limitations of droplets and bubbles have a significant impact on numerical calculations. The friction between liquid and droplets has a significant relationship with the heat transfer between droplets and the wall.https://yznkxjs.xml-journal.net/article/doi/10.7538/yzk.2024.youxian.0921large break loss of coolant accidentcosine multiphase field subchannel codebubbledropletuncertain heat transfer parameter |
| spellingShingle | CHENG Yixuan1, MENG Zhaocan2, 3, ZHANG Hao4, HUANG Ting2, 3, ZHAO Meng4, ZHOU Fanfan1, YANG Yanhua1, 3, 4 Quantitative Study on Uncertainty of Bubble and Droplet Models and Parameters in COSINE Code Yuanzineng kexue jishu large break loss of coolant accident cosine multiphase field subchannel code bubble droplet uncertain heat transfer parameter |
| title | Quantitative Study on Uncertainty of Bubble and Droplet Models and Parameters in COSINE Code |
| title_full | Quantitative Study on Uncertainty of Bubble and Droplet Models and Parameters in COSINE Code |
| title_fullStr | Quantitative Study on Uncertainty of Bubble and Droplet Models and Parameters in COSINE Code |
| title_full_unstemmed | Quantitative Study on Uncertainty of Bubble and Droplet Models and Parameters in COSINE Code |
| title_short | Quantitative Study on Uncertainty of Bubble and Droplet Models and Parameters in COSINE Code |
| title_sort | quantitative study on uncertainty of bubble and droplet models and parameters in cosine code |
| topic | large break loss of coolant accident cosine multiphase field subchannel code bubble droplet uncertain heat transfer parameter |
| url | https://yznkxjs.xml-journal.net/article/doi/10.7538/yzk.2024.youxian.0921 |
| work_keys_str_mv | AT chengyixuan1mengzhaocan23zhanghao4huangting23zhaomeng4zhoufanfan1yangyanhua134 quantitativestudyonuncertaintyofbubbleanddropletmodelsandparametersincosinecode |