Multiple hierarchy risk assessment with hybrid model for safety enhancing of unmanned subscale BWB demonstrator flight test

To explore the low-speed characteristics of the Blended-Wing-Body (BWB) configuration for future civil aircraft, a series of unmanned subscale demonstrators have been developed and tested by our research team. During this process, specific safety risks deriving from uncertain design features, system unreliability, and insufficient personnel experience caused continuous flight test mishaps and the risk mechanism was not clear. Local and trial-and-error learning driven safety improvements took few effects on mishap prevention, so our focus was turned to look for systematic safety strategies. This paper establishes a systems theory based hybrid model to integrate the physical system reliability analysis techniques with the system dynamics method for illustrating the multiple risk interactions of the demonstrator flight test involving organizational, human resource and technical system factors. Using the prior BB-5 demonstrator as a case, the hybrid model simulation represents its historical risk evolution process, which verifies the model rationality. Derived risk control strategies reduced the mishap rate of a new demonstrator called BB-6 Sprit. The paper also shows the extended hybrid model can be applied on safety management of unmanned aerial vehicles from the initial period of vehicle development.     

运载火箭晃动分析中知识模型的构建及应用

为了改变传统方法所实现的运载火箭晃动分析计算程序结构固定、缺乏灵活性、不能根据不同的使用场景自发完成不同计算任务的问题，利用本体理论和方法，将领域知识解决实际问题的过程抽象为决策知识引导应用单元执行的过程模型。根据建立的模型，从晃动分析相关领域知识中剥离出决策节点和应用单元，再通过决策节点重构决策知识，最终实现决策知识引导应用单元完成晃动计算。最后利用本体OWL语言实现决策节点重构决策知识，并开发了基于本体的火箭晃动计算分析软件模块，实现了分析计算知识的公用性、可拓展性和配置灵活性，为快速、智能化的专业分析计算提供借鉴。     

基于LBM的发汗孔隙结构内流动换热性能

以发汗冷却技术为背景，采用D3Q19格子玻尔兹曼方法程序，在孔隙尺度下研究了多孔介质结构对结构温度场的影响。针对球形颗粒堆积结构和随机结构这两种常用的多孔结构，分别计算分析了渗透率和固体温度分布。结果表明：对于颗粒堆积结构，当颗粒规则排列时，其固体温度分布呈明显的阶梯状；而颗粒无规则排列时，固体温度变化趋势比较平稳，并且随着颗粒直径的增大，渗透率增大，固体温度降低。对于随机多孔结构，随着孔隙尺寸减小，渗透率减小，固体温度升高。在0.3～0.5的孔隙率范围内，颗粒堆积结构和随机结构由于内部对流换热强度的不同，固体温度具有不同的变化特点。     

Information space of sensor networks: Lagrangian,energy-momentum tensor,and applications

It is a challenge to investigate the interrelationship between the geometric structure and performance of sensor networks due to the increasingly complex and diverse architecture of them. This paper presents two new formulations for the information space of sensor networks, including Lagrangian and energy–momentum tensor, which are expected to integrate sensor networks target tracking and performance evaluation from a unified perspective. The proposed method presents two geometric objects to represent the dynamic state and manifold structure of the information space of sensor networks. Based on that, the authors conduct the property analysis and target tracking of sensor networks. To the best of our knowledge, it is the first time to investigate and analyze the information energy–momentum tensor of sensor networks and evaluate the performance of sensor networks in the context of target tracking. Simulations and examples confirm the competitive performance of the proposed method.     

倾角偏置太阳同步轨道的地面轨迹保持方法

为在倾角偏置条件下保持太阳同步轨道卫星的地面轨迹,在考虑地球扁率摄动、大气阻力摄动和太阳引力谐振等主要影响因素,以及卫星地面轨迹允许漂移范围的基础上,采用主动超调与被动控制结合的策略,提出了一种初始半长轴偏置后的卫星地面轨迹保持方法。分析了半长轴和倾角摄动变化率,以及初始半长轴和倾角偏置量对地面轨迹漂移的影响。仿真结果表明,该法可基本满足设计阶段的精度要求。     

Motion prediction of a non-cooperative space target

Capturing a non-cooperative space target is a tremendously challenging research topic. Effective acquisition of motion information of the space target is the premise to realize target capture. In this paper, motion prediction of a free-floating non-cooperative target in space is studied and a motion prediction algorithm is proposed. In order to predict the motion of the free-floating non-cooperative target, dynamic parameters of the target must be firstly identified (estimated), such as inertia, angular momentum and kinetic energy and so on; then the predicted motion of the target can be acquired by substituting these identified parameters into the Euler’s equations of the target. Accurate prediction needs precise identification. This paper presents an effective method to identify these dynamic parameters of a free-floating non-cooperative target. This method is based on two steps, (1) the rough estimation of the parameters is computed using the motion observation data to the target, and (2) the best estimation of the parameters is found by an optimization method. In the optimization problem, the objective function is based on the difference between the observed and the predicted motion, and the interior-point method (IPM) is chosen as the optimization algorithm, which starts at the rough estimate obtained in the first step and finds a global minimum to the objective function with the guidance of objective function’s gradient. So the speed of IPM searching for the global minimum is fast, and an accurate identification can be obtained in time. The numerical results show that the proposed motion prediction algorithm is able to predict the motion of the target.     

卫星天线反射面板热形变面形误差检测方法

为实现航天卫星天线面板热形变面形误差高精度检测,提出利用三坐标测量系统搭载高精度激光位移传感器,对检测对象进行扫描测量;并通过对其系统误差来源进行分析、公差合理分配及误差控制,提出对测量系统进行整体优化,以满足所提出检测精度要求。为验证所提出方法的可行性,搭建测量系统,对标准试件的测量数据进行面形拟合,获得测量偏差优于±4.22μm/m2;分别制作常规铝板及光滑铝板作为测试对象,在其背部黏贴加热板的加热方式,以模拟卫星面板在实际工作环境中发生热形变。采用提出的方法对其进行了热形变面形误差检测实验,检测结果验证了所提出方法的可行性。     

Experimental investigation on impingement-effusion film-cooling behaviors in curve section

A new series of test pieces with different geometrical configuration and geometry dimensions are designed to experimentally investigate on impingement-effusion cooling behavior in curve effusion wall of combustion chamber. The test results show that the discharge coefficient increased with the increasing blowing ratio. The effusion hole–hole spacing has an effect on the discharge coefficient and the discharge coefficient commonly decreased with the increment of effusion hole–hole spacing. The blowing ratio greatly effects cooling behavior. The bigger blowing ratio is favorable for improving cooling characters. At the curved effusion wall, to begin with, cooling effectiveness increased slowly and kept a steady value in subsequence. But, for the rear end of curved effusion wall, it decreased slowly. With decreasing of effusion hole angle and effusion hole–hole spacing, cooling effectiveness is enhanced. Meanwhile, blowing ratio, effusion angle and effusion hole–hole spacing take an evident effect on the discharge coefficient.     

花状SnS2微球用作高效锂空气电池催化剂的研究

因超高的理论能量密度,锂空气电池在航空航天、电动汽车等领域展示了广阔的应用前景,但其目前的性能仍与实际使用需求有较大的差距。本文旨在开发具有双功能催化作用的正极催化剂以提升锂空气电池的性能。采用简易的一步溶剂热法成功制备了花状结构的SnS_2微球,并首次探究了其作为可充锂空气电池正极催化剂的应用前景。结果表明:所制备的花状SnS_2微球对锂空气电池的正极过程具有优异的催化性能,大大改善了以其为催化剂的锂空气电池的综合性能,证明SnS_2是一种有潜力的、值得深入研究的锂空气电池用催化剂材料。