Development and Preliminary Verification of MCAT Platform for Fuel Element Multi-physics Coupling Analysis

Qi Feipeng; Liu Zhenhai; Yin Chunyu; Luo Jian; Liu Yong; Qian Libo; Zhou Yi; Wang Haoyu; Chen Ping; Li Quan

doi:10.13832/j.jnpe.2024.03.0028

Volume 45 Issue 3

Jun. 2024

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Article Navigation > Nuclear Power Engineering > 2024 > 45(3): 28-36

Qi Feipeng, Liu Zhenhai, Yin Chunyu, Luo Jian, Liu Yong, Qian Libo, Zhou Yi, Wang Haoyu, Chen Ping, Li Quan. Development and Preliminary Verification of MCAT Platform for Fuel Element Multi-physics Coupling Analysis[J]. Nuclear Power Engineering, 2024, 45(3): 28-36. doi: 10.13832/j.jnpe.2024.03.0028

Citation:

Qi Feipeng, Liu Zhenhai, Yin Chunyu, Luo Jian, Liu Yong, Qian Libo, Zhou Yi, Wang Haoyu, Chen Ping, Li Quan. Development and Preliminary Verification of MCAT Platform for Fuel Element Multi-physics Coupling Analysis[J]. Nuclear Power Engineering, 2024, 45(3): 28-36. doi: 10.13832/j.jnpe.2024.03.0028

Citation:

Qi Feipeng, Liu Zhenhai, Yin Chunyu, Luo Jian, Liu Yong, Qian Libo, Zhou Yi, Wang Haoyu, Chen Ping, Li Quan. Development and Preliminary Verification of MCAT Platform for Fuel Element Multi-physics Coupling Analysis[J]. Nuclear Power Engineering, 2024, 45(3): 28-36. doi: 10.13832/j.jnpe.2024.03.0028

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Development and Preliminary Verification of MCAT Platform for Fuel Element Multi-physics Coupling Analysis

doi: 10.13832/j.jnpe.2024.03.0028

Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, 610213, China

Received Date: 2023-06-24
Rev Recd Date: 2023-08-27
Publish Date: 2024-06-13

Abstract

Abstract

In order to further improve the prediction accuracy of fuel performance and expand the application scope of fuel analysis tools, and based on the commercial finite element analysis code COMSOL, the system safety analysis code ARSAC and the Monte Carlo burnup calculation code RMC, a multi-physical field coupling analysis platform MCAT for typical rod fuel elements is established, which realizes the bidirectional coupling of fuel module, thermal hydraulic module and neutron physics module. The concept of modular designe is adopted for the coupling platform, the intermediate data interface is used to manage the coupling parameters and define the "boundary" of each module, and the updating and feedback of the coupling parameters are realized with the input/output text files of each module, thus avoiding the source code level modification of the existing codes. Asymmetric Picard iterative algorithm is used to realize bidirectional coupling between modules, and the physical and thermal modules are regarded as black box codes. In the process of solving fuel thermodynamics, RMC and ARSAC are called in turn to perform calculations and exchange data, and iteration is repeated until convergence. In this paper, MCAT is preliminarily verified from the aspects of module, interface and comprehensive prediction results. The results show that MCAT can accurately predict the distribution of parameters such as power, temperature, structural deformation and coolant state in fuel elements, which proves the correctness of MCAT platform in module development, coupling process construction and coding implementation.
- Fuel performance analysis,
- Multi-physics coupling,
- Neutronics,
- Thermal-hydraulics,
- Picard iteration

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References(19)

References

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