Method of target damage probability distribution simulation and evaluation based on GPU parallel computing

被引：0
作者：
Lei, Xiaoyun [1 ]
Tan, Yaping [1 ]
Zhu, Lihua [2 ]
机构：
[1] School of Information Technology, Jiangsu Open University, Jiangsu Province, Nanjing
[2] School of Mechanical Engineering, Nanjing University of Science and Technology, Jiangsu Province, Nanjing
来源：
International Journal of Information and Communication Technology | 2024年 / 25卷 / 07期
基金：
中国国家自然科学基金;
关键词：
damage probability; GPU parallel computing; numerical simulation; vulnerable position;
D O I：
10.1504/IJICT.2024.142171
中图分类号：
学科分类号：
摘要：
For the projectiles with proximity-fused warheads used to destroy the target, the most vulnerable information is vital to destroy targets efficiently. So, it is important to quickly locate the most vulnerable position of the target in combat. An algorithm combining GPU parallel computing and numerical simulation is proposed. For a specific target, a slicing processing method is used to define the spatial position parameters, and the damage probability distribution in the space near the target is established to determine the most vulnerable position. In the example, the computation speed of the method is about 3.6 times higher than that of the CPU serial calculation method. It could quickly locate the most vulnerable position of a certain ballistic missile, namely, when the projectile was situated in the plane of 1/5 projectile length from the bottom of the target, the target would be damaged with the highest probability of 90%. Copyright © The Author(s) 2024. Published by Inderscience Publishers Ltd.
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页码：37 / 56
页数：19
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