| Recent Developments in Predicting Impact and Shock Sensitivities of Energetic Materials （英） |
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| 引用本文： | Mohammad Hossein Keshavarz,Arash Shokrolahi,Karim Esmailpoor,Abbas Zali,Hamid Reza Hafizi,Jamshid Azarniamehraban. Recent Developments in Predicting Impact and Shock Sensitivities of Energetic Materials （英）[J]. 含能材料, 2008, 16(1): 113-120 |
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| 作者姓名： | Mohammad Hossein Keshavarz Arash Shokrolahi Karim Esmailpoor Abbas Zali Hamid Reza Hafizi Jamshid Azarniamehraban |
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| 作者单位： | Departiment of Chemistry, Malek-ashtar Unlverslty＇of Technology, Shahln-shahr P. O. Box 83145/115, Islamic Republic of Iran |
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| 摘 要： | Empirical, quantum mechanical and artificial neural network methods are three usual methods in recent years that were used to predict sensitivity of different classes of high explosives. Some recent developments in predicting sensitivity by various methods are reviewed and discussed for various classes of energetic materials.
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| 关 键 词： | 工程材料 撞击灵敏性 爆炸力学 经验主义 量子力学 人工神经网络 |
| 文章编号： | 1006-9941（2008）01-0113-08 |
| 收稿时间： | 2007-08-14 |
| 修稿时间： | 2007-09-17 |
Recent Developments in Predicting Impact and Shock Sensitivities of Energetic Materials |
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| Mohammad Hossein Keshavarz,Arash Shokrolahi,Karim Esmailpoor,Abbas Zali,Hamid Reza Hafizi and Jamshid Azarniamehraban. Recent Developments in Predicting Impact and Shock Sensitivities of Energetic Materials[J]. Chinese Journal of Energetic Materials, 2008, 16(1): 113-120 |
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| Authors: | Mohammad Hossein Keshavarz Arash Shokrolahi Karim Esmailpoor Abbas Zali Hamid Reza Hafizi Jamshid Azarniamehraban |
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| Affiliation: | Department of Chemistry, Malek-ashtar University of Technology, Shahin-shahr P.O.Box 83145/115, Islamic Republic of Iran |
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| Abstract: | Empirical, quantum mechanical and artificial neural network methods are three usual methods in recent years that were used to predict sensitivity of different classes of high explosives. Some recent developments in predicting sensitivity by various methods are reviewed and discussed for various classes of energetic materials. |
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| Keywords: | explosion mechanics impact and shock sensitivity empirical method quantum mechanical method artificial neural network method |
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