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文章以超导加速模组水平测试平台的束流真空泵站为研究对象，开展结构仿真分析和多目标优化设计，以满足其安全性和轻量化要求。首先，基于静力学仿真和子模型技术，分析真空泵站的强度和刚度并提出优化方案。随后，通过中心复合设计（CCD）方法和参数化仿真获得试验样本空间，建立克里金（Kriging）代理模型并进行响应面分析。最后，采用多目标遗传算法（MOGA）求得帕累托（Pareto）最优解，并对优选方案进行仿真验证。结果表明：优化后的真空泵站其最大等效应力为76.116 MPa，最大变形量为0.47151 mm，而泵站质量相比优化前仅增加了0.25%，优化结果满足多目标优化的设计要求，证明了所述多目标优化方法的可行性。研究内容可为加速器领域真空腔体的设计优化提供参考。
Abstract：In this paper, the beam vacuum pump station of the horizontal test platform of superconducting acceleration cryomodule is taken as the research object, structural simulation analysis and multi-objective optimization design are conducted to meet its requirements for safety and lightweight. Firstly, based on statics simulation and sub-model technology, the strength and stiffness of the vacuum pump station are analyzed and an optimization scheme is proposed. Subsequently, the test sample space is obtained through the central composite design(CCD) method and parametric simulation, and the response surface analysis is conducted through the Kriging surrogate model. Finally, the multi-objective genetic algorithm(MOGA) is adopted to obtain the Pareto optimal solution, and the preferred scheme is simulated and verified. The results show that the maximum equivalent stress of the optimized vacuum pump station is 76.116 MPa, the maximum deformation is 0.47151 mm, and the mass of the pump station only increased by 0.25% compared with that before optimization. The optimization results meet the design requirements of multi-objective optimization, which proves the feasibility of the said multi-objective optimization method. This research can provide references for the design and optimization of vacuum chambers in the field of accelerators.
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基本信息:
DOI：10.13922/j.cnki.cjvst.202412011
中图分类号:TB752
引用信息:
[1]赵凡,李菡,尉伟等.超导加速模组水平测试平台真空泵站结构分析与优化[J].真空科学与技术学报,2025,45(07):550-560.DOI:10.13922/j.cnki.cjvst.202412011.
基金信息: