中低层框架建筑物毁伤效能评估模型及用弹量算法  

Damage Effectiveness Assessment Model and Algorithm of Ammunition Usage Amount for Missile Strikes on Low-to-mid-rise Frame Buildings

作　　者：黄建涛 彭永 陈浩 HUANG Jiantao;PENG Yong;CHEN Hao(College of Science,National University of Defense Technology,Changsha 410073,Hunan;Troops No.95889,Jiuquan 735018,Gansu)

机构地区：[1]国防科技大学理学院,湖南长沙410073 [2]95889部队,甘肃酒泉735018

出　　处：《火箭军工程大学学报》2024年第3期9-17,共9页Journal of Rocket Force University of Engineering

摘　　要：针对中低层框架建筑物毁伤效能评估问题,提出采用毁伤范围矩阵表征武器战斗部毁伤能力的思想和方法,结合投射精度建立了以房间平均毁伤数量占比为毁伤效能表征的单弹和多弹打击建筑物目标的毁伤效能评估模型。研究了基于卷积运算的毁伤程度计算方法。在此基础上,为实现多弹打击下建筑目标毁伤的最大化,结合多弹毁伤效能评估模型与遗传算法,研发了打击中低层框架建筑物的瞄准点优化及用弹量测算计算程序,并结合案例对相关影响因素进行了分析。结果表明:所提方法可高效获取达到预定毁伤效果时的最佳瞄准点策略和相应的最少用弹量,并可在程序中展示给定策略下的房间毁伤分布。To solve problems in damage effectiveness assessment of missile strikes on low-tomid-rise frame buildings,the idea and method of characterizing the damage capability of a weap-on’s combat part by using the damage range matrix were proposed.Combined with the projection accuracy,a damage effectiveness assessment model for single-shot and multiple-shot strikes against building targets was established with the average damage ratio of rooms as the characteri-sation of the damage effectiveness.Thereby,a convolutional algorithim-based damage level calculation method was explored.On this basis,in order to maximize the damage to building targets under multishot strikes,a program for optimizing the aiming point and calculating the amount of ammunition usage in missile strikes on low-to-mid-rise frame buildings was developed based on the multi-shot damage effectiveness evaluation model and genetic algorithm.Simultaneously,relevant influencing factors were discussed and analyzed with real cases.Results showed that the proposed method can efficiently obtain the optimal aiming point strategy to achieve the predeter-mined damage effect and the corresponding minimum amount of ammunition usage,and show the distribution of damage to a room under the given strategy in the program.

关 键 词：建筑物目标 毁伤评估 导弹打击策略 遗传算法 用弹量优化 

分 类 号：TJ760[兵器科学与技术—武器系统与运用工程]