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作 者:陈一村 陶西贵 冯进技 赵健 朱云 CHEN Yicun;TAO Xigui;FENG Jinji;ZHAO Jian;ZHU Yun(Institute of Defense Engineering,AMS,PLA,Beijing 100850,China)
出 处:《火力与指挥控制》2023年第1期149-157,共9页Fire Control & Command Control
基 金:国家自然科学基金资助项目(52102392,71971214)。
摘 要:野战机场体系是战时完成临时性、紧迫性军事任务的重要补充,合理的空间布局是提高其战场作战保障能力和生存能力的基础前提。为快速部署野战机场体系形成韧性布局,以野战机场体系最大化作战保障能力为目标,考虑野战机场的潜在部署点位、最大保障范围、作战需求可达性和建设资源总量等约束,建立战时随机破坏条件下野战机场体系韧性布局分析模型;设计以粒子群智能算法和蒙特卡罗随机方法为核心的求解流程,实现野战机场体系可行布局的快速求解和优化;以某典型野战机场体系为例,量化分析了不同空间布局方案对体系作战保障能力的影响,以期为野战机场体系的快速构设和作战运用提供决策支撑。Field airfield system is an important supplement to complete temporary and urgent military tasks in wartime,the reasonable space layout is the basic premise to improve its battlefield operation support ability and survivability.In order to rapidly deploy the field airfield system to form a resilient layout,maximizing the operational support capability of field airfield system is aimed at by considering the air field potential point,maximum coverage range and accessibility of operational requirements and construction resources constraints,and an analysis model for the resilience layout of field airfields under random destruction conditions in.At the same time is established,the solution process based on the core of particle swarm intelligence algorithm and Monte Carlo random method is designed to realize the rapid solution and optimization of the feasible layout of field airport system.Finally,taking a typical field airfield system as an example,the influence of different spatial layout strategies on the combat support capability of the system is quantitatively analyzed,which provides decision support for the rapid establishment and operation of the field airfield system.
分 类 号:TJ-9[兵器科学与技术] TU981[建筑科学—城市规划与设计]
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