Speaker
Description
In the design of fusion blanket systems, the Tritium Breeding Ratio (TBR) is a key parameter that characterizes the blanket's ability to sustain tritium. The accuracy of its calculation largely depends on the reliability of nuclear data and computational methods. Based on the Monte Carlo software NECP-MCX, this study uses the differential operator perturbation method to conduct a sensitivity analysis of nuclear data on TBR, focusing on the blanket of the China Fusion Engineering Test Reactor (CFETR). In addition, the nuclear data covariance matrix is incorporated, and the sandwich theorem is applied to quantify the uncertainties in the nuclear data. The results show that different nuclides and reaction channels have significant differences in their impact on TBR. Among all the considered nuclides, the relative sensitivity coefficients of reactions such as Be9 (n, 2n), Li6 (n,t), Be9 (n, nel), and Fe56 (n, nel) make a significant contribution. Further uncertainty analysis indicates that nuclides such as Li6 and Be9 are the primary sources of nuclear data uncertainty in TBR.
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