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发射药贮存寿命预测技术研究进展
引用本文:刘杰,罗天元,黄文明,王晓辉,赵方超.发射药贮存寿命预测技术研究进展[J].装备环境工程,2011,8(6):38-42,90.
作者姓名:刘杰  罗天元  黄文明  王晓辉  赵方超
作者单位:中国兵器工业第五九研究所,重庆400039;重庆市环境腐蚀与防护工程技术研究中心,重庆400039
摘    要:简述了发射药贮存寿命试验所用的自然环境长期贮存试验监测法和加速寿命试验方法的现状,对发射药寿命评价与预测所用的人工神经网络技术和计算机模拟技术进行了分析,阐明了现有技术的优缺点,论述了发射药贮存寿命试验与评价技术的发展趋势.

关 键 词:发射药  贮存寿命  预测  人工神经网络  计算机模拟
收稿时间:2011/9/18 0:00:00
修稿时间:2011/12/15 0:00:00

Research Progress in Prediction Techniques of Propellant Storage Life
LIU Jie,LUO Tian-yuan,HUANG Wen-ming,WANG Xiao-hui and ZHAO Fang-chao.Research Progress in Prediction Techniques of Propellant Storage Life[J].Equipment Environmental Engineering,2011,8(6):38-42,90.
Authors:LIU Jie  LUO Tian-yuan  HUANG Wen-ming  WANG Xiao-hui and ZHAO Fang-chao
Institution:LIU Jie1,2,LUO Tian-yuan1,HUANG Wen-ming1,WANG Xiao-hui1,ZHAO Fang-chao1,2(1.No.59 Research Institute of China Ordnance Industry,Chongqing 400039,China,2.Chongqing Engineering Research Center for Environmental Corrosion and Protection,China)
Abstract:The current state of long-term storage test and accelerated life test used in propellants storage life test were introduced.Artificial neural networks and computer simulation applied in propellants storage life evaluation and prediction were analyzed.The advantages and limitations of these techniques were clarified.The developing trend of propellants storage life test and evaluation techniques was discussed.
Keywords:Propellants  storage life  prediction  artificial neural network  computer simulation  
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