Evolution of airports from a network perspective——An analytical concept

Analyzing airports' role in global air transportation and monitoring their development over time provides an additional perspective on the dynamics of network evolution. In order to understand the different roles airports can play in the network an integrated and multi-dimensional approach is needed. Therefore, an approach to airport classification through hierarchi-cal clustering considering several parameters from network theory is presented in this paper. By applying a 29 year record of global flight data and calculating the conditional transition probabil-ities the results are displayed as an evolution graph similar to a discrete-time Markov chain. With this analytical concept the meaning of airports is analyzed from a network perspective and a new airport taxonomy is established. The presented methodology allows tracking the development of airports from certain categories into others over time. Results show that airports of equal classes run through similar stages of development with a limited number of alternatives, indicating clear evolutionary patterns. Apart from giving an overview of the results the paper illustrates the exact data-driven approach and suggests an evaluation scheme. The methodology can help the public and industry sector to make informed strategy decisions when it comes to air transportation infras-tructure.     

基于力约束的空心涡轮叶片陶芯定位方法

精铸蜡型作为空心涡轮叶片精铸过程重要的前期工艺转接件,其壁厚精度主要由蜡型模具型腔与内部陶芯的位置匹配关系决定。由于陶芯在模具内完全依靠定位元件实现空间定位,为减小由定位误差引起的陶芯位姿漂移,提出了一种基于力平衡约束的空心涡轮叶片精铸模具陶芯定位布局优化方法。首先,通过建立陶芯定位误差传递模型,揭示了定位误差与陶芯空间位姿扰动量之间的映射关系;其次,根据力平衡原理构建了基于力约束的陶芯定位布局优化模型;之后,针对陶芯表面定位候选点的离散分布特性,结合遗传算法给出了陶芯定位布局点的详细求解策略。最后,仿真对比证明了利用本文所提方法获得的陶芯定位方案可以在保证陶芯定位稳定性的同时提高陶芯定位精度,此外,按照优化后的定位方案压制实际蜡型,壁厚检测结果也进一步表明所提方法的有效性。     

适用于空管人才选拔的人为因素实验室研究

以空中交通管制员职业特征为依据,深入探讨了适用于空管人才选拔的人为因素实验室的若干重要问题。构建了航空人为因素软件测试平台,并通过统计分析确定实验项目,以达到有效选拔空管人才的目的。     

一种基于FPGA的ISA航空总线设计方法

Nios Ⅱ处理器是Altera公司推出的基于SOPC系统的嵌入式软核处理器。在Quartus Ⅱ软件的SOPC Builder工具中,用户可以利用Nios Ⅱ处理器、标准配套外围设备以及用户自定义的逻辑接口IP核来创建适用的Nios Ⅱ嵌入式系统,再将设计下载到Altera公司的FPGA中进行实现。本文在Quartus Ⅱ软件中使用Verilog硬件描述语言创建了基于Avalon总线的ISA总线接口逻辑,并在SOPC Builder中实现对此元件的封装,使之成为可供Nios Ⅱ系统使用IP核。     

一种多功能训练器械设计与实训试验

针对以往特种运动器械存在设计理念陈旧、运动功能单一等缺陷,设计了一种能够提高受训人员综合身体素质的多功能训练器械。该器械主要由旋转中心框架、圆形中心框架、防护装置以及电动传动装置等组成,能够进行康复治疗、强化"核心"训练等。通过实际训练验证,该器械性能稳定,使用安全可靠,并且适用于多人施训,省时省力。     

虑及多转速的核心机转子高速动平衡试验

为满足航空发动机整机动平衡对转子不平衡振动精稳抑制的需求，采用虑及多转速状态的转子高速动平衡优化配平方 法，开展了核心机转子动平衡试验。以核心机转子系统为对象，研究在高压压气机转子第4、9级盘上配重抑制高压涡轮振动的可 行性。综合考虑核心机转子在多转速下的振动状态，以残余振动平方和及残余振动最大值为目标函数，采用优化算法对配平方案 进行优化，制定了核心机转子高速动平衡方案。在核心机转子系统试验台上分别进行了单平面-单转速、单平面-多转速、双平面- 单转速以及双平面-多转速动平衡的试验。结果表明：采用虑及多转速状态的转子高速动平衡优化配平方法能使因不平衡引起的 核心机转子振动在工作转速区间内均有所减小。     

某型号空气压缩机的常见故障及排除方法

目的正确分析、准确判断空气压缩机的常见故障。方法通过观察、测量、试验等方法判断故障部位和类型。结果故障主要是活塞环严重磨损、活门密封性降低、偏心轮扭断、润滑油路堵塞和活门严重故障等。结论迅速快捷地排除空压机故障。     

Integration of lessons from recent research for “Earth to Mars” life support systems

Development of reliable and robust strategies for long-term life support for planetary exploration must be built from real-time experimentation to verify and improve system components. Also critical is incorporating a range of viable options to handle potential short-term life system imbalances. This paper revisits some of the conceptual framework for a Mars base prototype which has been developed by the authors along with others previously advanced (“Mars on Earth^®”) in the light of three years of experimentation in the Laboratory Biosphere, further investigation of system alternatives and the advent of other innovative engineering and agri-ecosystem approaches. Several experiments with candidate space agriculture crops have demonstrated the higher productivity possible with elevated light levels and improved environmental controls. For example, crops of sweet potatoes exceeded original Mars base prototype projections by an average of 46% (53% for best crop) ultradwarf (Apogee) wheat by 9% (23% for best crop), pinto bean by 13% (31% for best crop). These production levels, although they may be increased with further optimization of lighting regimes, environmental parameters, crop density etc. offer evidence that a soil-based system can be as productive as the hydroponic systems which have dominated space life support scenarios and research. But soil also offers distinct advantages: the capability to be created on the Moon or Mars using in situ space resources, reduces long-term reliance on consumables and imported resources, and more readily recycling and incorporating crew and crop waste products. In addition, a living soil contains a complex microbial ecosystem which helps prevent the buildup of trace gases or compounds, and thus assist with air and water purification. The atmospheric dynamics of these crops were studied in the Laboratory Biosphere adding to the database necessary for managing the mixed stands of crops essential for supplying a nutritionally adequate diet in space. This paper explores some of the challenges of small bioregenerative life support: air-sealing and facility architecture/design, balance of short-term variations of carbon dioxide and oxygen through staggered plantings, options for additional atmospheric buffers and sinks, lighting/energy efficiency engineering, crop and waste product recycling approaches, and human factor considerations in the design and operation of a Mars base. An “Earth to Mars” project, forging the ability to live sustainably in space (as on Earth) requires continued research and testing of these components and integrated subsystems; and developing a step-by-step learning process.     

气核尺寸对气液同轴离心式喷嘴自激振荡的影响

为了研究气核尺寸对气液同轴离心式喷嘴自激振荡的影响,采用水和空气作为模拟介质,开展了室压条件下冷态喷雾试验。通过试验分析了气核尺寸较大时气液同轴离心式喷嘴自激振荡的喷雾形态,与文献中气核尺寸较小时的喷雾形态进行对比发现气核尺寸不同时,该类喷嘴自激振荡的喷雾形态不同,气核尺寸较大时呈"圣诞树"型分布,气核尺寸较小时呈"串"型分布。气核尺寸对气液同轴离心式喷嘴自激振荡的产生机理有显著影响,由于自激振荡产生机理的不同,喷嘴缩进长度对自激振荡的影响也不同,气核尺寸较大时自激振荡频率随着喷嘴缩进长度呈复杂变化特征,气核尺寸较小时喷嘴缩进长度对自激振荡频率没有影响。气液同轴离心式喷嘴自激振荡频率为2~4kHz,与燃烧室一阶振型接近,喷雾自激振荡可能会诱发燃烧室不稳定燃烧。     

A strategic flight conflict avoidance approach based on a memetic algorithm

Conflict avoidance （CA） plays a crucial role in guaranteeing the airspace safety. The cur- rent approaches, mostly focusing on a short-term situation which eliminates conflicts via local adjust- ment, cannot provide a global solution. Recently, long-term conflict avoidance approaches, which are proposed to provide solutions via strategically planning traffic flow from a global view, have attracted more attentions. With consideration of the situation in China, there are thousands of flights per day and the air route network is large and complex, which makes the long-term problem to be a large-scale combinatorial optimization problem with complex constraints. To minimize the risk of premature convergence being faced by current approaches and obtain higher quality solutions, in this work, we present an effective strategic framework based on a memetic algorithm （MA）, which can markedly improve search capability via a combination of population-based global search and local improve- ments made by individuals. In addition, a specially designed local search operator and an adaptive local search frequency strategy are proposed to improve the solution quality. Furthermore, a fast genetic algorithm （GA） is presented as the global optimization method. Empirical studies using real traffic data of the Chinese air route network and daily flight plans show that our approach outper- formed the existing approaches including the GA .based approach and the cooperative coevolution based approach as well as some well-known memetic algorithm based approaches.