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大口径反射镜结构的两种参数优化方法

沈展鹏 陈晓娟 陈学前 范宣华

沈展鹏, 陈晓娟, 陈学前, 等. 大口径反射镜结构的两种参数优化方法[J]. 强激光与粒子束, 2018, 30: 062001. doi: 10.11884/HPLPB201830.180011
引用本文: 沈展鹏, 陈晓娟, 陈学前, 等. 大口径反射镜结构的两种参数优化方法[J]. 强激光与粒子束, 2018, 30: 062001. doi: 10.11884/HPLPB201830.180011
Shen Zhanpeng, Chen Xiaojuan, Chen Xueqian, et al. Two parameter optimization methods for large aperture mirror[J]. High Power Laser and Particle Beams, 2018, 30: 062001. doi: 10.11884/HPLPB201830.180011
Citation: Shen Zhanpeng, Chen Xiaojuan, Chen Xueqian, et al. Two parameter optimization methods for large aperture mirror[J]. High Power Laser and Particle Beams, 2018, 30: 062001. doi: 10.11884/HPLPB201830.180011

大口径反射镜结构的两种参数优化方法

doi: 10.11884/HPLPB201830.180011
基金项目: 

科学挑战课题资助 TZ2018007

国家自然科学基金项目 11472256

中国工程物理研究院院长基金项目 YZ2015011

中国工程物理研究院总体工程研究所科学技术专项 2017KJZ04

详细信息
    作者简介:

    沈展鹏(1987—), 男,硕士,从事复杂结构力学分析、不确定性量化等研究;402shenzp@caep.cn

  • 中图分类号: TN206;TN247

Two parameter optimization methods for large aperture mirror

  • 摘要: 大口径反射镜在自重作用下发生变形,变形过大会引起镜片通光表面的峰谷值较大,难以满足光机装置打靶精度的要求。建立了典型反射镜结构的有限元仿真模型,以计算镜片表面峰谷值;优化了安装柱的位置、尺寸及镜片厚度等参数,使镜片通光表面形变峰谷值最小。分别采用了基于有限元模型的直接优化和基于代理模型的优化,均获得了结构最优参数,使形变峰谷值比初始值降低了74%。相比而言,基于代理模型的优化还可提供目标量随设计变量的变化情况以及变量灵敏度分析,更有利于设计决策。当设计变量个数多、范围宽时,可先根据先验知识或低精度代理模型缩小设计范围,然后建立紧缩范围的高精度代理模型并进行优化,可有效避免大量计算。根据“三圆柱”支撑结构的参数优化结果,建议采用“四圆柱”支撑设计,以获得更高的面形精度。
  • 图  1  反射镜安装及几何尺寸参数示意

    Figure  1.  Schematic diagram of assembling and geometry parameters of the mirror

    图  2  设计变量取初始值时镜片的有限元网格及镜面变形

    Figure  2.  Mesh and deformation of the mirror with initial design variables

    图  3  基于代理模型优化的基本流程图

    Figure  3.  Flowchart of optimization based on surrogate model

    图  4  全设计范围代理模型的精度验证

    Figure  4.  Accuracy validation of the whole-range surrogate model

    图  5  紧缩设计范围代理模型的精度验证

    Figure  5.  Accuracy validation of the shrunk-range surrogate model

    图  6  PV值随两个设计变量的变化曲面

    Figure  6.  Variation surface of PV with two design variables

    图  7  PV值随每一个无量纲设计变量的变化

    Figure  7.  PV variation with each dimensionless design variable

    图  8  各设计变量对PV值的局部灵敏度和全局灵敏度

    Figure  8.  Local and global sensitivity of design variables to PV value

    图  9  优化后反射镜通光表面的离面位移云图(半模型)

    Figure  9.  Off-plane displacement on the aperture surface of half-model after optimization

    表  1  设计变量的范围和初值

    Table  1.   The range and initial value of the design variables

    variables lower bound/mm upper bound/mm initial value/mm
    h1 60 240 150
    h2 60 240 150
    w 100 160 100
    D 30 80 60
    T 70 100 85
    下载: 导出CSV

    表  2  优化结果对比

    Table  2.   Comparison of the optimization results

    method PV value/nm design variables/mm
    h1 h2 w D T
    initial value 254.8 150.0 150.0 100.0 60.0 85.0
    direct optimization 66.3 240.0 68.3 116.2 80.0 100.0
    optimization based on whole-range surrogate model 85.3 205.4 63.3 106.6 79.6 99.9
    optimization based on shrunk-range surrogate model 67.1 239.7 69.3 117.7 78.7 99.9
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-01-10
  • 修回日期:  2018-02-09
  • 刊出日期:  2018-06-15

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