弹丸对混凝土靶体侵彻深度的灰色模拟与预测

陈星明 刘彤 肖正学

陈星明, 刘彤, 肖正学. 弹丸对混凝土靶体侵彻深度的灰色模拟与预测[J]. 高压物理学报, 2014, 28(2): 221-226. doi: 10.11858/gywlxb.2014.02.014
引用本文: 陈星明, 刘彤, 肖正学. 弹丸对混凝土靶体侵彻深度的灰色模拟与预测[J]. 高压物理学报, 2014, 28(2): 221-226. doi: 10.11858/gywlxb.2014.02.014
CHEN Xing-Ming, LIU Tong, XIAO Zheng-Xue. Gray Simulation and Prediction on Projectile Penetration Depth of Concrete Targets[J]. Chinese Journal of High Pressure Physics, 2014, 28(2): 221-226. doi: 10.11858/gywlxb.2014.02.014
Citation: CHEN Xing-Ming, LIU Tong, XIAO Zheng-Xue. Gray Simulation and Prediction on Projectile Penetration Depth of Concrete Targets[J]. Chinese Journal of High Pressure Physics, 2014, 28(2): 221-226. doi: 10.11858/gywlxb.2014.02.014

弹丸对混凝土靶体侵彻深度的灰色模拟与预测

doi: 10.11858/gywlxb.2014.02.014
基金项目: 国家安全重大基础研究项目(61392020101);西南科技大学国防重点项目(07zx6101)
详细信息
    作者简介:

    陈星明(1972—), 男, 博士,教授,主要从事工程力学、采矿工程等研究.E-mail:cxm@swust.edu.cn

  • 中图分类号: O24; O385

Gray Simulation and Prediction on Projectile Penetration Depth of Concrete Targets

  • 摘要: 由于弹丸对混凝土靶体侵彻机理的未知性及混凝土力学性能的复杂性,因此可将弹丸侵彻混凝土过程看作是一个灰色过程。介绍了弹丸侵彻混凝土靶体侵彻深度的灰色模拟与预测模型GM(1, n)的建立方法和过程,通过GM(1, n)模型可以实现对弹丸侵彻混凝土介质侵彻深度的模拟与预测。通过算例计算表明,此模型对模拟和预测弹丸侵彻混凝土的侵彻深度可行,且计算量较小。

     

  • 图  侵彻深度的实验值与模拟值及预测值的比较

    Figure  1.  The change of target penetration situation with EFP incidence angle

    表  1  模拟和预测模型的原始数据[10]

    Table  1.   Model raw data of simulation and prediction[10]

    No. σt/(MPa) vp/(m/s) P/(m)
    1 45 510 0.597
    2 23 510 0.834
    3 45 612 0.716
    4 23 612 1.001
    5 45 680 0.795
    6 23 680 1.113
    7 45 748 0.875
    8 23 748 1.224
    9 45 850 0.994
    10 23 850 1.391
    11 45 918 1.074
    12 23 918 1.502
    13 45 1 020 1.193
    14 23 1 020 1.669
    下载: 导出CSV

    表  2  GM(1,3)模型模拟结果

    Table  2.   Simulation results of GM(1, 3)

    No. σt/(MPa) vp/(m/s) P/(m) Psim/(m) Relative error/(%)
    1 45 510 0.597 0.597 0.00
    2 23 510 0.834 0.742 11.03
    3 45 612 0.716 0.816 -13.97
    4 23 612 1.001 1.089 -8.79
    5 45 680 0.795 0.791 0.50
    6 23 680 1.113 1.129 -1.44
    7 45 748 0.875 0.856 2.17
    下载: 导出CSV

    表  3  GM(1,3)模型预测结果

    Table  3.   Simulation Result of GM(1, 3)

    No. σt/(MPa) v/(m/s) P/(m) Ppre/(m) Relative error/(%)
    8 23 748 1.224 1.204 1.63
    9 45 850 0.994 0.971 2.31
    10 23 850 1.391 1.320 5.10
    11 45 918 1.074 1.049 2.33
    12 23 918 1.502 1.398 6.92
    13 45 1 020 1.193 1.166 2.26
    14 23 1 020 1.669 1.514 9.29
    下载: 导出CSV
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出版历程
  • 收稿日期:  2012-06-20
  • 修回日期:  2012-09-26

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