喷嘴结构对高压水射流影响及结构参数优化设计

喷嘴是产生高压水射流的关键部件,其结构形式对射流动力学性能有很大影响。以圆柱形喷嘴为对象,进行喷嘴结构对高压水射流的影响分析及结构参数优化设计。采用两相流计算流体力学模型进行喷嘴内外的射流流场分析。为节省计算资源,在优化设计时引入Kriging代理模型替代计算流体力学模型。分别采用改进的非劣分类遗传算法和基于分解的多目标进化算法进行单目标和多目标优化设计。研究结果表明:直线型喷嘴总体性能较优,凹型喷嘴的次之,凸型喷嘴性能最差。以直线型喷嘴为设计对象,以射流初始段长度和流量为目标,得到了单目标和多目标优化设计结果。单目标优化时,两个指标较基准外形分别提高14.71%和27.56%。多目标优化时,优化得到的半锥角处于[15.4°,89.8°]区间内。运用代理模型和进化算法的全局优化方法在进行喷嘴的优化设计时是有效的。     

微纳卫星姿态确定与控制半实物仿真系统设计

航天器姿态控制系统需要特殊的运行环境,在地面很难考核,这给系统可靠性带来一定的风险。针对微纳卫星的特点,设计并研制了一套面向微纳卫星的姿态确定与控制半实物仿真系统。该系统通过数字化模型模拟卫星姿态轨道运动、敏感器模型产生敏感器测量数据、执行器模型生成控制力矩、敏感器模拟器实现通信协议,最终实现姿态控制系统的全系统仿真。这套系统可以接入卫星控制系统回路,实现对姿控系统软件、硬件的考核,同时验证算法的性能。基于该系统,对天拓三号卫星姿控系统进行地面半实物仿真,并对比在轨试验数据,结果表明系统设计合理,仿真结果可信。     

空中突击部队装备体系作战任务建模方法研究

空中突击部队是由多装备系统组成的装备体系,在执行任务过程中体现多阶段多任务的特点。基于DoDAF体系框架,结合美军空中突击部队装备体系作战任务展开研究。首先,通过作战任务的形式化描述,建立了装备体系作战任务的四元组描述模型;其次,在DoDAF体系框架下,提出建立空中突击部队装备体系作战任务的静态模型和动态模型;最后通过仿真方法对动态模型进行验证,证明了该模型的可信性。     

基于多Agent仿真的装备保障体系供应保障系统设计与实现?

针对部队装备保障运行的实际情况,采用多Agent仿真的方法,基于Kraljic模型将装甲装备器材分为重要器材、关键器材、一般器材和稀缺器材,并以此为基础构建了装备保障体系供应保障系统。分析了系统的整体结构以及系统中器材仓库的外部接口和内部器材请领流程,并以某集团军各级器材仓库为研究对象进行了仿真实例分析。实践证明,采用多Agent仿真的方法研究装备保障体系供应保障活动具备可行性和有效性,有利于宏观把握部队装备保障的运行规律,提高部队装备保障能力。     

基于DDS舰载火控系统通信

针对舰载火控系统通信需求,提出基于DDS的舰载火控体系结构,实现了系统松耦合,同时满足了实时性要求。通过发布订阅服务的设计,基于默认QoS策略,分别使用内置数据类型和自定义数据类型实现舰载火控系统的发布订阅功能。通过可靠性QoS策略的配置分析其对系统实时性和可靠性的影响。测试结果表明,DDS在舰载火控系统中有广阔的应用前景。     

Indian and Chinese espionage

India and China both have powerful spy networks; completely different in their approaches to espionage; both effective against their perceived enemies. China focuses first on internal threats, on Taiwan and Hong Kong, and then the US and Japan. India’s defense policy focuses on Pakistan and internal terrorist threats, and then on China. In reality, however, when it comes to spying on each other, both China and India suffer from incompetence and apathy – which endangers both their own security and regional stability. This article looks at how they spy on each other, and asks why and how they need to improve. The narrative also touches upon some of the individuals who are waging the spy war, from India’s wily spymaster Ajit Doval down to junior Chinese agents such as Wang Qing and Pema Tsering. The two countries are not friends. They have the largest territorial dispute in the world on their hands, covering an area the size of North Korea, and they have large armies facing each other along 4000 kilometers of frontier. But they also lay claim to the world’s two oldest and richest civilizations, with a rich history of exchange, and now with a combined population of 2.6 billion people and more than a quarter of the world’s economic output. If they cooperated, they could solve many of the world’s problems; but if they lurch into conflict, the potential consequences are terrifying to contemplate. Unfortunately, despite their geographical closeness, they do not know much about each other. They have few cultural interchanges, little diplomacy, few trade missions. They do not watch each other’s films, read each other’s books or listen to each other’s music. Chinese tourists would rather fly to New Zealand for their holidays than cross the border to India, and Indian students would rather study in Europe than China. China and India are neighbors that barely talk to each other. Most significantly, they do not spy on each competently. For countries that do not interact socially, defensive understanding is important for security – but China prefers the glamor of facing up to its Pacific and other maritime rivals such as the US and Japan. India, for its part, does talk a great deal about the China threat, but its resources and expertise are wrapped up in controlling its security threat from Pakistan and the Islamic world. When China and India do try to spy on each other, it is often without the benefit of a long-term focus or understanding. India has some very skilled operatives within the Research and Analysis Wing, but few that specialize in China. China has an enormous pool of resources spread across several government departments, including the Ministry of Public Security, and also has extensive facilities and manpower in the Joint Staff Department of the Central Military Commission (the JSD) and the new Strategic Support Force (the SSF). However, China’s intelligence services generally behave as if India is not worth spying on. Given that the two countries do not have the cultural or political machinery in place to understand each other, espionage and intelligence gathering is vital to ensure that miscalculations do not take place. This has been apparent over the last few years in stand-offs in the Himalaya, as well as top-level suspicions on each side about a variety of subjects including terrorism, covert operations in Sri Lanka and Burma, and the two countries’ nuclear weapons programs. Both countries do occasionally make efforts in espionage against each other, especially during sensitive periods such as the mountain stand-offs of 2014 and 2013 and during policy developments in nuclear warfare. In this article the author looks at actual spying incidents between the two countries, their methodologies, their staff, their technical capabilities, and how the act of spying, which is usually viewed as intrinsically adversarial, can be a force for good. The article relies on interviews with actual participants in intelligence from both countries as well as extensive use of contemporary online sources, and secondary analysis by both military and academic experts from China, India and NATO countries.     

军用导航技术发展趋势

现代战争的高技术特点要求武器系统装备精密导航系统来提供精确的导航信息 ,提高武器的战斗性能。论述了惯性敏感器发展技术、GPS技术、GPS/INS组合与抗干扰问题。发展高精度、低成本、抗干扰能力强的导航系统是未来军用导航系统发展的趋势     

光电对抗技术发展概况及装备需求

阐述了光电对抗的基本概念及其发展状况,针对现代海战的战法特点,论证了发展海军光电对抗系统的紧迫性,指出了光电对抗系统的关键技术．     

压水堆运行中ΔT超温度/超功率保护分析

从核电站压水堆动力装置在运行中ΔT超温度 /超功率保护功能出发 ,介绍了压水堆ΔT超温度 /超功率保护系统 ,分析了确定极限限制线以及保护区的方法 ,并对此作出了评价 .     

Multiple common due dates

Common due date problems have been extensively discussed in the scheduling literature. Initially, these problems discussed finding a common due date for a set of jobs on a single machine. These single machine problems were later extended to finding the common due date on a set of parallel machines. This paper further extends the single machine problem to finding multiple common due dates on a single machine. For a basic and important class of penalty functions, we show that this problem is comparable to the parallel machine problem. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48: 293–298, 2001