The long-term performance evolution and fission gas release (FGR) behavior of liquid metal-cooled fast reactor (LMFR) fuel elements are crucial for reactor safety and radioactive source term assessment. In this paper, to address the deficiencies of fuel performance analysis models for LMFR, a multi-physics field-coupled fuel performance analysis program is developed by using the FAST and CAMPUS program architectures and integrating the key physics models of FEAST, KMC-fuel, and other fast reactor programs. The program contains core modules for thermal-physical analysis, FGR, and chemical element migration (oxygen/plutonium), and considers a joint oxide gain (JOG) formation module. The program adopts two-dimensional axisymmetric geometry modeling to enhance the computational efficiency. Based on the verification of the program simulation results in comparison with the irradiated data of the experimental reactor, the present model shows high accuracy in the prediction of fuel temperature field distribution, gap closure kinetics, and fission gas release share (average relative error with experimental data is significantly lower than that of the FEAST model), and that the overall program is able to simulate the evolution of the overall performance of the fuel element well. Based on the validation of the overall performance of the program, the study also analyzes the key role of line power and JOG formation on fuel performance. It is shown that the pellet thermodynamic temperature rises significantly with increasing fuel operating power, which exacerbates the FGR behavior and induces an increase in cladding stress. More critically, the formation of JOG enhances the thermal conductivity of the fuel gap, which changes the temperature field distribution of the pellet, the mechanical deformation of the material, etc., and is thus a key factor that should not be ignored in the process of accurately predicting the change in fuel performance.
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