A cloud model target damage effectiveness assessment algorithm based on spatio-temporal sequence finite multilayer fragments dispersion

被引:0
|
作者
Li, Hanshan [1 ]
Zhang, Xiaoqian [1 ]
Gao, Junchai [1 ]
机构
[1] Xian Technol Univ, Sch Elect & Informat Engn, Xian 710021, Peoples R China
来源
DEFENCE TECHNOLOGY | 2024年 / 40卷
基金
中国国家自然科学基金;
关键词
Target damage; Cloud model; Fragments dispersion; Effectiveness assessment; Spatio-temporal sequence; PROJECTILE; VELOCITY;
D O I
10.1016/j.dt.2024.05.008
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
To solve the problem of target damage assessment when fragments attack target under uncertain projectile and target intersection in an air defense intercept, this paper proposes a method for calculating target damage probability leveraging spatio-temporal finite multilayer fragments distribution and the target damage assessment algorithm based on cloud model theory. Drawing on the spatial dispersion characteristics of fragments of projectile proximity explosion, we divide into a finite number of fragments distribution planes based on the time series in space, set up a fragment layer dispersion model grounded in the time series and intersection criterion for determining the effective penetration of each layer of fragments into the target. Building on the precondition that the multilayer fragments of the time series effectively assail the target, we also establish the damage criterion of the perforation and penetration damage and deduce the damage probability calculation model. Taking the damage probability of the fragment layer in the spatio-temporal sequence to the target as the input state variable, we introduce cloud model theory to research the target damage assessment method. Combining the equivalent simulation experiment, the scientific and rational nature of the proposed method were validated through quantitative calculations and comparative analysis. (c) 2024 China Ordnance Society. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
引用
收藏
页码:48 / 64
页数:17
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