Partial penetration of annular grooved projectiles impacting ductile metal targets

Changing and optimizing the projectile nose shape is an important way to achieve specific ballistic performance. One special ballistic performance is the embedding effect, which can achieve a delayed high-explosive reaction on the target surface. This embedding effect includes a rebound phase that is significantly different from the traditional penetration process. To better study embedment behavior, this study proposed a novel nose shape called an annular grooved projectile and defined its interaction process with the ductile metal plate as partial penetration. Specifically, we conducted a series of low-velocity-ballistic tests in which these steel projectiles were used to strike 16-mm-thick target plates made with 2024-O aluminum alloy. We observed the dynamic evolution characteristics of this aluminum alloy near the impact craters and analyzed these characteristics by corresponding cross-sectional views and numerical simulations. The results indicated that the penetration resistance had a brief decrease that was influenced by its groove structure, but then it increased significantly-that is, the fluctuation of penetration resistance was affected by the irregular nose shape. Moreover, we visualized the distribution of the material in the groove and its inflow process through the rheology lines in microscopic tests and the highlighted mesh lines in simulations. The combination of these phenomena revealed the embed-ment mechanism of the annular grooved projectile and optimized the design of the groove shape to achieve a more firm embedment performance. The embedment was achieved primarily by the target material filled in the groove structure. Therefore, preventing the shear failure that occurred on the filling material was key to achieving this embedding effect.     

一种基于可用性的战术通信子网评估方法

针对战术通信子网可用性建模,利用马尔可夫方法对单网可用性模型进行了数学分析,采用蒙特卡洛仿真法进行验证,并给出了一种考虑了战术层级特点以及节点权重的通信网可用性仿真模型,计算可用性参数来对系统做出可用性评估.实验结果表明,该仿真方法具有一定的有效性和可用性,为战术通信网可用性评估提供了新的思路及参考方法.     

基于改进FPA和SVM的装备器材需求预测

精确预测已成为制约器材筹措决策的重难点问题.对此,在对国内外研究分析基础上,提出适用于复杂装备保障的消耗性器材需求预测方法.针对器材消耗规律,构建基于支持向量机的器材需求预测模型,并提出模型约束优化指标;针对器材需求预测约束优化的不确定性,将佳点集种群初始化、Deb可行性比较法、着约束法融入花朵授粉算法,设计面向SVM模型优化的花朵授粉求解算法;以某建制单位器材供应为例,验证方法的可行性和优越性.     

基于改进ADC法的高原信息通信装备作战效能评估

基于战时高原高寒地区信息通信装备组织运用特点和规律,在传统ADC模型侧重于武器装备固有能力评估的基础上,进一步融入实战要素,提出基于复杂作战环境的ADCQ模型.通过区分不同信息通信保障任务类型和装备维修方法,对装备可信性进行分类讨论;并分别运用信息熵法、AHP法、模糊综合评价法进行组合赋权、指标量化和综合评价.围绕高原高寒战场环境下信息通信装备具体组织运用开展效能评估,验证方法可行性和有效性.     

基于差分进化算法的运输直升机人员装载问题

针对空中突击作战中运输直升机资源有限、人员装载需求较大的特点,在满足装载原则约束的前提下,建立了以空间利用率最大化为目标的运输直升机人员装载模型,并提出了一种动态的差分进化算法对模型进行求解.该算法对传统差分进化算法的控制参数进行调整,同时加入个体适应度参数,设计了动态精英变异算子和动态二项式交叉算子,仿真实验证明,该...     

美军人工智能人才队伍建设探析

为了保持军事优势,美军加快布局人工智能人才队伍。近年来,美国政府、国会及国防部密集出台相关法规政策,推出了多项举措,一方面通过设立奖学金计划和兼职岗位、直接征召人工智能人才以及建立数字后备队等途径从军外寻求人才和技术支持;另一方面通过识别和认证人工智能人才、建立数字职业领域、创新人才管理机制和开展人工智能培训等方式,建立军内人工智能人才培养与管理机制。本文认为,美军布局人工智能人才队伍的思路举措具有一定的前瞻性和先进性,不仅应当引起我们重视,也在以下方面带给我们启示借鉴,如高度重视军事人工智能人才队伍建设、更新高新技术人才引进理念、完善对人才的合理使用机制以及提升军队自身人才培养能力等。