聚变反应堆用大型真空低温恒温器面向过程的高效结构优化方法研究

Qingzhou Yu, Hao Xu, Zhaoxi Chen, Qingxi Yang
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摘要

聚变堆大型复杂部件的高效优化设计对于满足工程设计要求和进一步推动技术标准化至关重要。从研究现状来看,当前聚变堆的工程设计存在一些不足,如时间和能量浪费、效率低下、难以满足典型的 "多变量、多目标 "设计要求等。这些都是急需解决的共性问题。为了应对上述技术挑战,为未来聚变反应堆的开发设计一种高效、精确和规范化的方法至关重要。因此,本文提出了一种面向过程的优化设计方法,包括耦合外部参数化建模、实验点设计、响应面优化和结构完整性验证(CERS),以改进目前低效的设计方法。以托卡马克中最大、最复杂的部件--真空低温恒温器为例,介绍了 CERS 的基本流程。首先,详细介绍了低温恒温器的功能、基本结构、载荷类型、分析方法和验证标准。然后,CERS 通过耦合建立了外部全局参数变量与 ANSYS 之间的实时数据交互,实现了低温恒温器的参数化建模和多变量、多目标的高效实验点设计和自动优化分析。随后,本研究从最大变形、最大等效应力和总质量等目标出发,论证了低温恒温器各种结构参数的重要性和敏感性。并通过建立数学优化模型,获得其结构参数的最优化设置。最后,对结构的完整性进行了验证。结果表明,优化后的低温恒温器保持了 23% 的最小安全裕度,在服役期间的各种负载事件下不会出现疲劳损坏。此外,根据零曲率准则分析低温恒温器的载荷-位移曲线,得出非线性屈曲载荷乘数∅为 5.4。这表明所设计的低温恒温器具有足够的稳定性。所提出的方法简单、高效、可靠,可应用于工程设计领域的低温恒温器和聚变堆的其他复杂部件。该方法对未来聚变堆的工程设计技术标准化具有重要的实际技术参考价值。
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Research on the efficient process-oriented structural optimization method of the large-scale vacuum cryostat for fusion reactor
An efficient optimization design for large and complex components of fusion reactor 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 wastes, inefficiency and the difficulties in covering the typical “multi-variable, multi-objective” design requirements. They 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 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 currently inefficient design methods. And the vacuum cryostat, the largest and complex component of 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. And then real-time data interaction between external global parametric variables and ANSYS via coupling is established by CERS, which achieves parametric modeling of cryostat and the efficient experiment point design and optimization analysis with multi-variables and multi-objectives in an automatic way. Subsequently, this study demonstrates the significance and sensitivity of various structural parameters of cryostat from such objectives as maximum deformation, maximum equivalent stress, and total mass. And the optimal set of its structural parameters is obtained by establishing mathematical optimization model. Finally, the structural integrity is verified. The result indicates that the optimized cryostat maintains a minimum safety margin of 23% and will not suffer fatigue damage under various load events during its service. Besides, the nonlinear buckling load multiplier ∅ is 5.4, obtained by analyzing the load-displacement curve of cryostat according to the zero-curvature criterion. This shows that the designed cryostat is stable enough. The proposed method is simple, efficient and reliable which can be applied to both cryostat and other complex components of fusion reactors in the engineering design fields. It has great value of practically technical reference and can further promote the standardization of engineering design technology for future fusion reactor.
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