基于神经网络的UHMWPE复合材料防弹性能

Study on the Ballistic Performance of UHMWPE Composite Based on Neural Network

提出了一种基于神经网络的弹道实验数据处理方法,建立了UHMWPE纤维复合材料防弹性能分析的BP神经网络模型,并基于模型研究了靶板的面密度、弹片的冲击速度、冲击方式等因素对材料防弹性能的影响。

A new method to deal with the experiment data based on neural network is presented. The BP neural network model to analyze the ballistic performance of UHMWPE composites is established. The influence of the area density, the impact velocity of the fragment and the impact behavior on the ballistic performance is studied.