Research on the efficient process-oriented structural optimization method of the large-scale vacuum cryostat for fusion reactors

作者：Qingzhou Yu, Hao Xu, Zhaoxi Chen, Qingxi Yang · 发表于：Nuclear Fusion · 年份：2024 · DOI：10.1088/1741-4326/ad4ef2 · 被引用次数：4 · 研究领域：Superconducting Materials and Applications、Fusion materials and technologies、Nuclear reactor physics and engineering

Abstract An efficient optimization design for the large and complex components of fusion reactors is crucial to address the engineering design requirements and further promote technical standardization. Based on research status, current engineering designs for fusion reactors have some deficiencies, such as time and energy wastage, inefficiency, and difficulties in covering the typical ‘multi-variable multi-objective’ design requirements. These are pressing and common problems that urgently need to be overcome. To deal with the aforementioned technical challenges, it is vitally important to design an efficient, precise, and normalized approach that is tailored for the development of future fusion reactors. Therefore, this paper proposes a process-oriented optimization design method, which involves Coupled external parameterized modeling, Experimental points design, Response surface optimization, and Structural integrity validation (CERS), to improve the currently inefficient design methods. And the vacuum cryostat, the largest and complex component of a tokamak, is taken as an example to present the basic procedures of CERS. Firstly, the functions, basic structures, load types, analysis methods, and verification criteria of the cryostat are presented in detail. Then, real-time data interaction between external global parametric variables and ANSYS via coupling is established by CERS, which achieves parametric modeling of the cryostat and efficient experimental point design an...