Abstract
The China Fusion Engineering Test Reactor (CFETR) is developed as the next tokamak device in China. The gravity support of CFETR VV is designed with a flexible plate structure to allow radial thermal expansion of the vacuum vessel (VV) system and to withstand various design loads. In this paper, the design optimization is developed with Multi-Objective Genetic Algorithm (MOGA) to balance design parameters contributing to stability and strength for the VV gravity support. In this optimization procedure, a parametric FE model is generated to study the structural response of the support corresponding to each design point. Besides, the effects of the design variables on objective function are quantitatively assessed using sensitivity analysis. Through the optimization procedure, optimal design parameters of the VV gravity support are obtained. Compared to the initial design, an improvement of about 50.4 and 401% for the peak stress and buckling load factor of the support plates, respectively.
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