Dynamic impact protective body armour: A comprehensive appraisal on panel engineering design and its prospective materials

Personal body armour is one of the most important pieces of equipment to protect human beings from various critical and fatal injuries. In today’s modern world, various organizations including law enforcement and security service have made it mandatory for their personnel to wear personal protection system while on field duty. However, the systems should comprise an improved ballistic performance, light-weighted, flexible as well as comfortable panel not only to be accepted with a wider range but also for effective performances of the consumer. Generally, the overall performances of the protective body armour could be affected by various parameters including armour design techniques, type of materials used and finishing of the panels. The current paper aims to critically review state-of-art for armour panel design techniques and the different perspective body armour materials. The paper starts by discussing the different body armour and its category. Later, the different states of technology for armour panel design (mostly for women), its problems and the possible solutions will be cited. Later, the commonly used different polymeric fibrous and the future possible advanced materials including carbon nanotube (CNT), Graphene CNT and shear thickening fluids (STFs) treated materials for developing the reinforced body armour panel will be discussed. The authors believe that this paper will enlighten useful guidelines and procedures about the different panel design techniques and current and promising future materials for researchers, designers, engineers and manufacturers working on the impact resistance body armour field.     

面向航天装备大数据的知识图谱体系

近年来,航天装备大数据平台建设已经取得了长足进步。然而,航天装备数据深层次价值仍然未被有效发掘,关键原因在于现有大数据业务数据存在无法跨专业贯通、缺乏全局数据资源智能分析及管理。知识图谱技术作为大数据时代的推理和分析利器,与航天装备大数据完成无缝对接具有天然的优势和内在动机。本文从研究面向航天装备数据知识图谱的/组织管理、关联分析、数据挖掘、知识可视化等开放式共享服务出发,通过大数据、人工智能方法挖掘航天数据的应用潜力,并引入数据化决策模型和监控体系,建立航天装备数据全息画像,实现业务数据的跨业务贯通,并提供网格化的高速检索,以求通过提升数据管理的规范化、标准化、精益化水平指导航天装备的优化和升级。     

Background dominant colors extraction method based on color image quick fuzzy c-means clustering algorithm

A quick and accurate extraction of dominant colors of background images is the basis of adaptive camouflage design. This paper proposes a Color Image Quick Fuzzy C-Means (CIQFCM) clustering algorithm based on clustering spatial mapping. First, the clustering sample space was mapped from the image pixels to the quantized color space, and several methods were adopted to compress the amount of clustering samples. Then, an improved pedigree clustering algorithm was applied to obtain the initial class centers. Finally, CIQFCM clustering algorithm was used for quick extraction of dominant colors of background image. After theoretical analysis of the effect and efficiency of the CIQFCM algorithm, several experiments were carried out to discuss the selection of proper quantization intervals and to verify the effect and efficiency of the CIQFCM algorithm. The results indicated that the value of quantization intervals should be set to 4, and the proposed algorithm could improve the clustering efficiency while maintaining the clustering effect. In addition, as the image size increased from 128 × 128 to 1024 × 1024, the efficiency improvement of CIQFCM algorithm was increased from 6.44 times to 36.42 times, which demonstrated the significant advantage of CIQFCM algorithm in dominant colors extraction of large-size images.     

卫星导航系统功率增强子星座优化设计与性能分析

卫星功率增强技术是提高区域导航信号抗干扰性能的一种有效措施,在卫星导航全星座中优选出卫星数量少、服务性能优的功率增强子星座,是新一代卫星导航系统建设迫切需要解决的问题。因此提出基于卫星数最少准则的功率增强子星座优化设计方法,详细介绍设计流程、数学模型及最优解搜索策略;定义了可用性水平、精度水平和覆盖范围等指标评估功率增强子星座性能;以GPS为例,分别针对覆盖点目标和区域目标两种应用背景进行功率增强子星座优化设计及性能评估。分析结果表明:全球范围内任意目标点进行功率增强需要12～17颗卫星;实现对我国沿海地区的连续覆盖需要18颗功率增强卫星;覆盖整个亚太地区则需要全星座24颗卫星都具备功率增强能力,这样才能满足其连续性和精度要求,此时最优功率增强子星座的服务范围可扩充至全球区域。     

车载高精度稳瞄系统的满意度设计

研究了车载高性能稳瞄系统伺服带宽设计的几个主要约束因素,对运动载体和强冲击振动环境下的扭转谐振等问题进行了深入研究,提出了噪声、精度和机械谐振等综合优化条件下的设计方法,同时对高性能稳瞄头部机构的安装机座提出了扭转谐振的要求以及减小谐振效应的方法.     

某超限高层建筑结构分析与优化

为有效控制平、立面超限高层结构的扭转效应,利用结构概念设计和程序计算分析,较为详细地介绍了一栋因建筑平面为蝶型而平面规则性超限的高层建筑进行结构分析和结构优化的全过程。通过调整结构平面布置、计算分析和设置适当的构造措施,使结构整体设计既满足了建筑功能的需要,又符合现行规范的要求,计算结果也证实了这一结论。该设计可供类似工程参考。     

基于稳态遗传算法的间歇式覆盖天基雷达星座优化设计

针对天基雷达星座的构型优化设计,建立了能够反映星座重要工作性能的单双基地间歇式覆盖模型、星间链路模型、双基地雷达的动目标检测模型,得到了低轨道卫星星座星间链路判断准则,给出了统计评价特性和综合评估指标体系。在此基础上,建立星座设计的优化模型,采用基于可行解搜索法的协同演化遗传算法并融入稳态遗传进化策略,有效地处理带有复杂计算的目标函数和约束条件的星座优化问题,计算分析实例表明利用该方法进行星座设计是非常有效的。     

一种分布式战术防空C3I系统仿真平台的框架结构研究

详细给出了分布式战术防空C3I系统仿真平台构建的总体设计及具体的网络平台方案。引入了高层体系结构 ,并将其技术规范应用到仿真平台的互联上 ,从而形成新一代的分布交互仿真系统。     

软硬交替多层膜法向压入过程的有限元分析

采用大变形弹塑性有限单元法,对高速钢基体上的软硬交替多层膜在法向压痕作用下的力学行为,进行了模拟和分析.为了研究膜层数和膜厚的影响,对从单层到16层的不同膜层体系进行了计算.通过对诸如膜层的变形、最大应力随膜层数的变化、界面剪应力分布、表面张应力分布等的分析,得出了这些参数的分布及其对膜层体系的摩擦学性能的影响.这些结果可为多层膜的结构优化设计提供定量的依据.     

步兵分队侦察模拟训练系统构建

针对步兵分队侦察训练存在地形受限、战斗情境失真、训练条件构设难等问题,本文在系统分析军事需求的基础上,采用软、硬结合的虚拟仿真技术对步兵分队侦察模拟训练系统框架、体系结构、物理结构、内外接口和应用模式进行了详细分析设计,并对关键技术进行了剖析,该系统方案设计已应用于步兵分队侦察模拟训练系统建设,并投入到院校教学训练中。实践表明,系统通过逼真的视、听一体化实现了高度沉浸式的训练,以现实地形和敌情的高度仿真与灵活组合,满足了步兵分队侦察技能训练对多样化战场环境、实战化目标设置的特殊要求,大大提升了步兵分队地形侦察、敌情侦察及综合对抗训练效益。