基于参数化模型的内冷屏设计优化流程的开发
|
摘要
在中国聚变工程实验堆(CFETR)集成设计平台(CIDP)的设计框架中,基于参数化模型开发了能够高效开展内冷屏设计优化的工作流程。通过OPTIMUS软件驱动CATIA、ANSYS等CAD/CAE软件进行自动建模及有限元分析,利用响应面模型、敏感度分析等方法确定与优化目标关系密切的参数,该流程根据内冷屏的参数化模型的几何参数驱动优化流程得到满足设计判据的优化设计参数。在应用示例中,考虑到等离子体破裂工况下冷屏的安全运行要求,在电磁-结构分析得到的应力满足设计判据的前提下,通过优化几何参数使内冷屏的质量最小,从而降低建造成本、提高经济性。
In the integrated design framework provided in the CFETR integration design platform(CIDP), a workflow that can efficiently optimize the design of the vacuum vessel thermal shield(VVTS) was developed based on the parametric model. In the workflow, according to the geometry parameters of the parametric model of the VVTS, automatic modeling and finite element analysis in CAD/CAE software like CATIA and ANSYS can be driven by OPTIMUS software. The response surface model and sensitivity analysis are then used to determine the parameters which are closely related to the objective optimization. The optimized design parameters of the VVTS, which satisfy the design criterion, can be obtained by further optimization workflow. The application of the workflow is demonstrated by an example, where the safety requirement during plasma disruption events is considered. While the stress obtained by electromagnetic-structural analysis can meet the design criteria, the mass of the VVTS is minimized to reduce the construction cost and improve economics.
In the integrated design framework provided in the CFETR integration design platform(CIDP), a workflow that can efficiently optimize the design of the vacuum vessel thermal shield(VVTS) was developed based on the parametric model. In the workflow, according to the geometry parameters of the parametric model of the VVTS, automatic modeling and finite element analysis in CAD/CAE software like CATIA and ANSYS can be driven by OPTIMUS software. The response surface model and sensitivity analysis are then used to determine the parameters which are closely related to the objective optimization. The optimized design parameters of the VVTS, which satisfy the design criterion, can be obtained by further optimization workflow. The application of the workflow is demonstrated by an example, where the safety requirement during plasma disruption events is considered. While the stress obtained by electromagnetic-structural analysis can meet the design criteria, the mass of the VVTS is minimized to reduce the construction cost and improve economics.
引文
[1] Yuanxi Wan, Jiangang Li, Yong Liu, et al. Overview of the present progress and activities on the CFETR[J]. Nucl.Fusion, 2017, 57(10):102009.
[2] Yuntao Song, Song Tao Wu, Jiangang Li, et al. Concept design of CFETR tokamak machine[J]. IEEE Transactions on Plasma Science, 2014, 42(3):503?509.
[3] Minyou Ye, Zhongwei Wang, Shifeng Mao, et al.Integration design platform of the CFETR[J]. Fusion Eng. Des., 2017, 123:87?90.
[4] Kun Xu, Minyou Ye, Yuntao Song, et al. Parameter study on helium cooled ceramic breeder blanket neutronics with CFETR integration design platform[J].Fusion Eng. Des., 2017, 124:757?761.
[5] Jianwu Zhang, Minyou Ye, Xuebing Peng, et al.Preliminary design and verification of divertor module of CFETR system code[J]. IEEE Transactions on Plasma Science, 2016, 44(9):1763?1767.
[6] Chen Zhu, Minyou Ye, Xufeng Liu, et al. Development of vacuum vessel design and analysis module for CFETR integration design platform[J]. Science and Technology of Nuclear Installations, 2016, 2016:5321057.
[7] Noesis Solution N V. Optimus Rev. 10.13 theory manual[M]. Leuven Belgium:Noesis Solutions, 2012.
[8] Mc Kay M D, Beckman R J, Conover W J. A Comparison of three methods for selecting values of input variables in the analysis of output from a computer code[J]. American Statistical Association, 1979, 21(2):239?245.
[9]马永杰,云文霞.遗传算法研究进展[J].计算机应用研究, 2012, 29(04):1201?1206.
[10] Saltelli A. Sensitivity analysis for importance assessment[J]. Risk Analysis, 2002, 22(3):579?590.
[11] Saltelli A. Introduction to sensitivity analysis[J]. Global Sensitivity Analysis, 2008, 1(3):1?51.
[12] Liu Xufeng, Zheng Jinxing, Luo Zhenping, et al.Conceptual design and analysis of CFETR magnets[C].Proceedings of the 25th Symposium on Fusion Engineering(SOFE), San Francisco, June 10?14, 2013.
[13] ASME Boiler and Pressure Vessel Code Section III[S].New York:American Society of Mechanical Engineers,2007.
[2] Yuntao Song, Song Tao Wu, Jiangang Li, et al. Concept design of CFETR tokamak machine[J]. IEEE Transactions on Plasma Science, 2014, 42(3):503?509.
[3] Minyou Ye, Zhongwei Wang, Shifeng Mao, et al.Integration design platform of the CFETR[J]. Fusion Eng. Des., 2017, 123:87?90.
[4] Kun Xu, Minyou Ye, Yuntao Song, et al. Parameter study on helium cooled ceramic breeder blanket neutronics with CFETR integration design platform[J].Fusion Eng. Des., 2017, 124:757?761.
[5] Jianwu Zhang, Minyou Ye, Xuebing Peng, et al.Preliminary design and verification of divertor module of CFETR system code[J]. IEEE Transactions on Plasma Science, 2016, 44(9):1763?1767.
[6] Chen Zhu, Minyou Ye, Xufeng Liu, et al. Development of vacuum vessel design and analysis module for CFETR integration design platform[J]. Science and Technology of Nuclear Installations, 2016, 2016:5321057.
[7] Noesis Solution N V. Optimus Rev. 10.13 theory manual[M]. Leuven Belgium:Noesis Solutions, 2012.
[8] Mc Kay M D, Beckman R J, Conover W J. A Comparison of three methods for selecting values of input variables in the analysis of output from a computer code[J]. American Statistical Association, 1979, 21(2):239?245.
[9]马永杰,云文霞.遗传算法研究进展[J].计算机应用研究, 2012, 29(04):1201?1206.
[10] Saltelli A. Sensitivity analysis for importance assessment[J]. Risk Analysis, 2002, 22(3):579?590.
[11] Saltelli A. Introduction to sensitivity analysis[J]. Global Sensitivity Analysis, 2008, 1(3):1?51.
[12] Liu Xufeng, Zheng Jinxing, Luo Zhenping, et al.Conceptual design and analysis of CFETR magnets[C].Proceedings of the 25th Symposium on Fusion Engineering(SOFE), San Francisco, June 10?14, 2013.
[13] ASME Boiler and Pressure Vessel Code Section III[S].New York:American Society of Mechanical Engineers,2007.