Research on the Coupling Experiment of Asymmetric Thermal Stress in Solid Core

Wang Yanpei; Tang Changbing; Li Quan; Li Tao; Li Chenxi; Qiu Bowen; Fan Hang; Li Yuanming

doi:10.13832/j.jnpe.2025.01.0152

Volume 46 Issue 1

Feb. 2025

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Wang Yanpei, Tang Changbing, Li Quan, Li Tao, Li Chenxi, Qiu Bowen, Fan Hang, Li Yuanming. Research on the Coupling Experiment of Asymmetric Thermal Stress in Solid Core[J]. Nuclear Power Engineering, 2025, 46(1): 152-159. doi: 10.13832/j.jnpe.2025.01.0152

Citation:

Wang Yanpei, Tang Changbing, Li Quan, Li Tao, Li Chenxi, Qiu Bowen, Fan Hang, Li Yuanming. Research on the Coupling Experiment of Asymmetric Thermal Stress in Solid Core[J]. Nuclear Power Engineering, 2025, 46(1): 152-159. doi: 10.13832/j.jnpe.2025.01.0152

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Research on the Coupling Experiment of Asymmetric Thermal Stress in Solid Core

doi: 10.13832/j.jnpe.2025.01.0152

1.
National Key Laboratory of Nuclear Reactor Technology, Nuclear Power institute of China, Chengdu, 610213, China
2.
Southwest Jiaotong University, Chengdu, 610031, China

Received Date: 2024-05-06
Rev Recd Date: 2024-07-02
Publish Date: 2025-02-15

Abstract

Abstract

The interaction between fuel and matrix caused by asymmetric thermal stress coupling is a key problem in the analysis of solid-core reactor. In this study, a distributed cold source and heat source loading method is developed by combining numerical simulation with experiment, and the thermal stress coupling simulation and experimental study of typical solid-core reactor fuel elements at high temperature are carried out. The research results show that the high temperature strain field measured is close to the numerical simulation result, and there is no risk of failure of the core fuel matrix at 350°C. The numerical prediction method and experimental approach developed in this study for asymmetrically distributed cold and heat source thermal stress coupling can be applied to the analysis of asymmetric thermal stress distribution in solid cores, and there is no risk of failure of the fuel element matrix at low temperature difference.
- Solid core,
- Asymmetric,
- Thermal stress distribution test,
- Numerical simulation

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References(16)

References

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