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Kill probability modeling of multi-purpose guided missile against gunship and its application

DU Zheng, CHEN Wan-chun

 

(School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China)

 

Abstract: Aimed at current deficiencies of multi-purpose guided missile kill probability model against gunship, the concept of the important coefficient of vulnerability blade unit is proposed in this paper. Laser fuze actuation model and warhead condition kill probability model of rotor blades are established by Monte Carlo method and kinetics theory with new ideas. Based on limited data, armor thickness of gunship is estimated, and a complete multi-purpose guided missile kill probability mathematical model is established, which provides necessary mathematical tool for the accurate and objective analysis of multi-purpose guided missile kill probability against gunship. Based on the establishment of the model, sensitivity analysis and optimal design of the main factors of multi-purpose guided missile kill probability are conducted, and the results show that the single multi-purpose guided missile lethality performance can be improved significantly by sensitivity analysis and optimization.

 

Key words: multi-purpose guided missile; gunship; rotor blade; the important coefficient of vulnerability blade unit; armor thickness; kill probability

 

CLD number: TJ761; U275+.1Document code: A

 

Article ID: 1674-8042(2014)02-0009-10 doi: 10.3969/j.issn.1674-8042.2014.02.002

 


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多用途导弹对武装直升机杀伤概率建模与应用

 

杜政, 陈万春

 

(北京航空航天大学 宇航学院, 北京 100191)

 

摘要:针对多用途导弹对武装直升机单发杀伤概率建模中存在的问题, 本文提出了直升机旋翼桨叶易损单元重要性因子的概念, 并综合运用蒙特卡罗方法和运动学原理采用新思路建立旋翼激光引信启动模型和战斗部对旋翼桨叶条件杀伤概率模型。 根据有限的数据对武装直升机装甲厚度进行优化估算并通过实验进行验证, 最终建立了多用途导弹对武装直升机完整的单发杀伤概率数学模型, 为准确客观地分析多用途导弹对武装直升机目标的杀伤概率提供了必要的数学工具。基于所建立的单发杀伤概率模型, 对影响多用途导弹杀伤概率的主要因素进行灵敏度分析及优化设计, 分析及优化结果明显改善了单枚多用途导弹对武装直升机的杀伤性能。

 

关键词:多用途导弹; 武装直升机; 旋翼桨叶; 桨叶重要性因子; 装甲厚度; 杀伤概率

 

引用格式:DU Zheng, CHEN Wan-chun. Kill probability modeling of multi-purpose guided missile against gunship and its application. Journal of Measurement Science and Instrumentation, 2014, 5(2): 9-18. [doi: 10.3969/j.issn.1674-8042.2014.02.002]

 

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