基于Choi-Williams分布的侵彻层数识别方法

王燕 马铁华 徐鹏 范锦彪

王燕, 马铁华, 徐鹏, 范锦彪. 基于Choi-Williams分布的侵彻层数识别方法[J]. 爆炸与冲击, 2015, 35(5): 758-762. doi: 10.11883/1001-1455(2015)05-0758-05
引用本文: 王燕, 马铁华, 徐鹏, 范锦彪. 基于Choi-Williams分布的侵彻层数识别方法[J]. 爆炸与冲击, 2015, 35(5): 758-762. doi: 10.11883/1001-1455(2015)05-0758-05
Wang Yan, Ma Tie-hua, Xu Peng, Fan Jin-biao. Identification of penetration layers based on Choi-Williams distribution[J]. Explosion And Shock Waves, 2015, 35(5): 758-762. doi: 10.11883/1001-1455(2015)05-0758-05
Citation: Wang Yan, Ma Tie-hua, Xu Peng, Fan Jin-biao. Identification of penetration layers based on Choi-Williams distribution[J]. Explosion And Shock Waves, 2015, 35(5): 758-762. doi: 10.11883/1001-1455(2015)05-0758-05

基于Choi-Williams分布的侵彻层数识别方法

doi: 10.11883/1001-1455(2015)05-0758-05
基金项目: 国家自然科学基金项目(51275488)
详细信息
    作者简介:

    王燕(1979—), 女, 博士研究生, 讲师, wangyan_zkk@163.com

  • 中图分类号: O382

Identification of penetration layers based on Choi-Williams distribution

  • 摘要: 针对侵彻多层硬目标过程中实测加速度信号的振荡叠加,以及可能引起的层数误判问题,采用时频分析法研究弹体主轴方向加速度信号的Choi-Williams能量分布特征,提出了以侵彻过程加速度信号的能量分布为依据的层数识别方法。侵彻8层等间距混凝土靶板的实测数据处理结果表明,该方法可快速准确实现层数识别,解决了低通滤波方法无法获取准确层数信息的问题,为实时控制起爆位置提供依据。
  • 图  1  弹体侵彻多层靶板示意图

    Figure  1.  Diagram of a projectile penetrating multi-layer hard targets

    图  2  弹体有限元模型

    Figure  2.  The finite element model for the projectile

    图  3  轴向加速度实测曲线

    Figure  3.  Measured axial acceleration-time history

    图  4  加速度数据频谱图

    Figure  4.  Frequency spectrum of acceleration

    图  5  加速度滤波后曲线(3 kHz)

    Figure  5.  Acceleration data filtered with a digital low-pass filter

    图  6  时频谱分析对比

    Figure  6.  Comparison of time-frequency analysis methods

    图  7  加速度信号的CWD能量分布三维图

    Figure  7.  Three-dimensional diagram for CWD energy distribution of acceleration signal

    图  8  三轴加速度实测曲线

    Figure  8.  Measured triaxial acceleration-time histories

    图  9  时间-能量二维分布图

    Figure  9.  Two-dimensional distribution of time-energy spectrum

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出版历程
  • 收稿日期:  2014-03-21
  • 修回日期:  2014-10-15
  • 刊出日期:  2015-10-10

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