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基于神经网络的UHMWPE复合材料防弹性能研究
引用本文:顾冰芳,龚烈航,徐国跃.基于神经网络的UHMWPE复合材料防弹性能研究[J].兵器材料科学与工程,2006,29(6):28-31.
作者姓名:顾冰芳  龚烈航  徐国跃
作者单位:南京航空航天大学,江苏,南京,210016;解放军理工大学,工程兵工程学院,江苏,南京,210007
摘    要:提出了一种基于神经网络的弹道试验数据处理方法,建立了UHMWPE纤维复合材料防弹性能分析的BP神经网络模型,并基于模型研究靶板的面密度、弹片的入射速度、冲击方式等因素对材料防弹性能的影响。

关 键 词:神经网络  UHMWPE复合材料  防弹性能  面密度  入射速度  弹道性能指数
文章编号:1004-244X(2006)06-0028-04
收稿时间:2005-12-23
修稿时间:2006-07-11

Study on ballistic performance of composite based on neural network
GU Bing-fang,GONG Lie-hang,XU Guo-yue.Study on ballistic performance of composite based on neural network[J].Ordnance Material Science and Engineering,2006,29(6):28-31.
Authors:GU Bing-fang  GONG Lie-hang  XU Guo-yue
Affiliation:1.Nanjing University of Aeronautics and Astronautics, Nanjing 210007, China; 2.Engineering Institute of Science and Engineering University of PLA, Nanjing 210007, China
Abstract:A new method to deal with the experiment data based on neural network was put forward. The BP neural network model for analyzing the ballistic performance of UHMWPE composites was established. The influence of the factors, including the area density, the impact velocity of the fragment and the impact model, on the ballistic performance was studied.
Keywords:neural network  UHMWPE composite  ballistic performance  area density  impact velocity  ballistic performance indicator
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