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| Research Progress in Prediction Techniques of Propellant Storage Life |
| Received:September 18, 2011 Revised:December 15, 2011 |
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| DOI： |
| KeyWord:Propellants storage life prediction artificial neural network computer simulation |
| Author | Institution |
| LIU Jie |
1. No. 59 Research Institute of China Ordnance Industry， Chongqing ， China;2. Chongqing Engineering Research Center for Environmental Corrosion and Protection， Chongqing ， China |
| LUO Tian-yuan |
1. No. 59 Research Institute of China Ordnance Industry， Chongqing ， China;2. Chongqing Engineering Research Center for Environmental Corrosion and Protection， Chongqing ， China |
| HUANG Wen-ming |
1. No. 59 Research Institute of China Ordnance Industry， Chongqing ， China;2. Chongqing Engineering Research Center for Environmental Corrosion and Protection， Chongqing ， China |
| WANG Xiao-hui |
1. No. 59 Research Institute of China Ordnance Industry， Chongqing ， China;2. Chongqing Engineering Research Center for Environmental Corrosion and Protection， Chongqing ， China |
| ZHAO Fang-chao |
1. No. 59 Research Institute of China Ordnance Industry， Chongqing ， China;2. Chongqing Engineering Research Center for Environmental Corrosion and Protection， Chongqing ， China |
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| 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. |
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