蜂窝夹层板撞击极限方程预测能力的提升

贾光辉 欧阳智江 蒋辉

贾光辉, 欧阳智江, 蒋辉. 蜂窝夹层板撞击极限方程预测能力的提升[J]. 爆炸与冲击, 2014, 34(4): 397-403. doi: 10.11883/1001-1455(2014)04-0397-07
引用本文: 贾光辉, 欧阳智江, 蒋辉. 蜂窝夹层板撞击极限方程预测能力的提升[J]. 爆炸与冲击, 2014, 34(4): 397-403. doi: 10.11883/1001-1455(2014)04-0397-07
Jia Guang-hui, Ou-yang Zhi-jiang, Jiang Hui. Promotion of prediction ability of impact limit equationon honeycomb sandwich panel[J]. Explosion And Shock Waves, 2014, 34(4): 397-403. doi: 10.11883/1001-1455(2014)04-0397-07
Citation: Jia Guang-hui, Ou-yang Zhi-jiang, Jiang Hui. Promotion of prediction ability of impact limit equationon honeycomb sandwich panel[J]. Explosion And Shock Waves, 2014, 34(4): 397-403. doi: 10.11883/1001-1455(2014)04-0397-07

蜂窝夹层板撞击极限方程预测能力的提升

doi: 10.11883/1001-1455(2014)04-0397-07
基金项目: 国家空间碎片专题项目(K020110-1/3/6)
详细信息
    作者简介:

    贾光辉(1965—), 男, 副教授, 硕士生导师

  • 中图分类号: O389

Promotion of prediction ability of impact limit equationon honeycomb sandwich panel

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  • 摘要: 蜂窝夹层板撞击极限方程是空间碎片撞击航天器风险评估的关键技术,目前描述其预测能力的指标主要有总体、安全预测正确率和绝对、相对误差。基于131个蜂窝夹层板的实验数据,分别描述各个预测指标在方程系数空间的变化特征,并采用层次化思路进行方程预测指标提升的探讨。结果发现,进行方程优化时,预测概率型指标可精确优化,而预测误差型指标可快速优化;总体预测正确率作为首要预测指标可优先用于研究航天器的在轨防护特性,而安全预测正确率作为首要指标则可优先用于其设计安全性。
  • 图  1  预测概率型指标等值线

    Figure  1.  Contours of the predicted probability indicators

    图  2  预测误差型指标等值线

    Figure  2.  Contours of the prediction error indicators

    图  3  预测指标体系1和2

    Figure  3.  Predictor system 1 and 2

    图  4  预测指标体系3和4

    Figure  4.  Predictor system 3 and 4

    图  5  预测指标体系5和6

    Figure  5.  Predictor system 5 and 6

    表  1  预测指标体系列表

    Table  1.   List of predictor systems

    体系一级指标二级指标三级指标
    1PtPsS2
    2PtPsf2
    3PsPtS2
    4PsPtf2
    5S2--
    6f2--
    下载: 导出CSV

    表  2  方程优化前后对比

    Table  2.   Comparison of the equations before and after optimization

    体系λ1λ2 Pt/%Ps/%S2f2
    优化前1.0001.00072760.061 54.932 4
    11.0500.55785950.017 50.691 0
    21.0500.55785950.017 50.691 0
    30.8360.444731000.038 51.835 8
    40.8360.444731000.038 51.835 8
    51.0220.61583920.016 80.730 3
    61.0300.56882920.017 30.686 9
    下载: 导出CSV
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出版历程
  • 收稿日期:  2013-01-04
  • 修回日期:  2013-04-17
  • 刊出日期:  2014-07-25

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