不确定环境下多无人机任务分配

针对复杂战场环境下无人机与攻击目标之间距离的不确定性,将该距离抽象为一个区间数。在此基础上,构建了不确定环境下多无人机任务分配的数学模型。根据多无人机任务分配问题的特殊性,重新设计了差分进化算法的编码方式、变异操作、交叉操作等。其中,选择操作中,在区间数排序方法的基础上,依照可能度来计算候选解被选中的概率。鉴于差分进化算法中不同变异策略的内在特点和适用场合不尽相同,提出了 3种多变异策略的差分进化算法,以便最大限度地发挥各种变异策略的技术优势。针对 CEC2013测试函数和多无人机任务分配问题分别开展仿真实验,实验结果表明,多变异策略的差分进化算法其性能改进显著,非常适合于求解多无人机任务分 配问题。     

Exploring links between crater floor mineralogy and layered lunar crust

Floors of similar sized craters, representing material from similar depth horizons, have been studied to explore their suitability as mineralogy indicators at various depths within the lunar crust. Clementine UV–vis multispectral data was used to generate mineral abundance maps of crater floors and surroundings using a modified version of algorithm given by Pieters et al. (2001) [Pieters, C.M., Head, J.W., Gaddis, L., Jolliff, B. and Duke, M. Rock types of the south pole aitken basin and extent of basaltic volcanism, JGR (106) E11, 28001–28022, 2001.]. Substantial processing of the crater floor material due to variety of geological processes is evident in the generated maps, making straight forward interpretations difficult. However, systematic compositional trends in fresh craters on the floors of target craters seem to indicate the feasibility of such an effort.     

最新版有效和多版本有效技术分析

飞机产品结构复杂、零件数量大、研制周期长、更改频繁,产生的大量版本需要管理控制.研究了飞机研制过程中的更改与版本管理之间的关系,分别对最新版有效和多版本有效两种模式下零组件的标识规则、更改控制机制、版本演化及产品数据的组织方式进行了分析.     

Adaptive double chain quantum genetic algorithm for constrained optimization problems

Optimization problems are often highly constrained and evolutionary algorithms(EAs)are effective methods to tackle this kind of problems. To further improve search efficiency and convergence rate of EAs, this paper presents an adaptive double chain quantum genetic algorithm(ADCQGA) for solving constrained optimization problems. ADCQGA makes use of doubleindividuals to represent solutions that are classified as feasible and infeasible solutions. Fitness(or evaluation) functions are defined for both types of solutions. Based on the fitness function, three types of step evolution(SE) are defined and utilized for judging evolutionary individuals. An adaptive rotation is proposed and used to facilitate updating individuals in different solutions.To further improve the search capability and convergence rate, ADCQGA utilizes an adaptive evolution process(AEP), adaptive mutation and replacement techniques. ADCQGA was first tested on a widely used benchmark function to illustrate the relationship between initial parameter values and the convergence rate/search capability. Then the proposed ADCQGA is successfully applied to solve other twelve benchmark functions and five well-known constrained engineering design problems. Multi-aircraft cooperative target allocation problem is a typical constrained optimization problem and requires efficient methods to tackle. Finally, ADCQGA is successfully applied to solving the target allocation problem.     

Oxygen concentration variation in ullage influenced by dissolved oxygen evolution

To determine the oxygen concentration variation in ullage that results from dissolved oxygen evolution in an inert aircraft fuel tank, the CFD method with a mass transfer source is applied in the present study. An experimental system is also designed to evaluate the accuracy of the CFD simulations. The dissolved oxygen evolution is simulated under different conditions of fuel load and initial oxygen concentration in ullage of an inert fuel tank with stimulations of heating and pressure decrease. The increase in the oxygen concentration in ullage ranges from 0.82% to 5.92% upon stimulation of heating and from 0.735% to 12.36% upon stimulation of a pressure decrease for an inert ullage in the simulations. The heating accelerates the release of the dissolved oxygen from the fuel by increasing the mass transfer rate in the mass transfer source and decreasing the pressure, thereby accelerating the dissolved oxygen evolution by increasing the concentration difference between the gas and the fuel. The time constant that represents the oxygen evolution rate is independent of the initial oxygen concentration in ullage of an inert tank but depends closely on the fuel load, temperature and pressure. The time constant can be fitted using a polynomial equation relating the fuel load to temperature in the heating stimulation with an accuracy of 4.77%. Upon stimulation of a pressure decrease, the time constant can be expressed in terms of the fuel load and the pressure, with an accuracy of 5.02%.     

Constitutive behavior and microstructural evolution in hot deformed 2297 Al-Li alloy

The microstructural evolution mechanism and constitutive behavior of 2297 Al-Li alloy were studied via thermal compression test with the constant strain rates of 0.001–1 s⁻¹ and the deformation temperatures ranging from 623 to 773 K. To verify the predictable ability of diverse constitutive models under different stress states, the hot compression experiments with stress triaxiality varying from −0.33 to 0.46 were conducted. The microstructures of the deformed specimens under diverse deformation conditions are probed to reveal the mechanism of hot deformation behavior. The experimental results indicate that the work-hardening and dynamic softening are competitive during the hot compression process, and the dynamic softening is more obvious under low deformation temperature and high strain rate. The microstructural analysis manifests that the dynamic recovery gets predominant at high deformation temperature to produce fine grains. Meanwhile, the dynamic recrystallization becomes more dominant as the strain rate decreases, which is sensitive to the stress triaxiality. In addition, both the modified Johnson-Cook model and strain-compensated Arrhenius-type function are suitable for describing the flow behavior of 2297 alloy, while the latter reveals a more accurate prediction. However, the predictability of the two kinds of models is worsened with the transformation of stress triaxiality, and the validity of the Arrhenius-type model is restricted by high stress triaxiality.     

考虑汽化的喷嘴高温气流注水两相流动规律

针对某火箭发动机考虑汽化的注水气液两相流问题,研究了液态水的汽化机理。根据不同环境压力下水的饱和温度建立了汽化模型,编制适合于液态水的专用汽化相变求解程序,并通过添加汽化组分源项及热源项的方法将汽化相变计算嵌入到多相流场控制方程中,实现了考虑液态水汽化相变的三维多相流场求解。结合经典算例进行了对比,特征点的两相流场温度计算值和试验的误差控制在8.5%以内,验证了程序三维计算的可靠性。距火箭喷嘴不同距离横截面的两相质量转化率曲线显示,质量转化率从最低值上升到最高值,然后降低到最低值,揭示了考虑相变的气液两相相间反应转化机理。该方法可为运载火箭发射平台发射起始阶段水室的汽化降温提供参考。      

水氧腐蚀环境对2D C/SiC热扩散性能的作用机制研究

通过对不同温度条件下,水氧腐蚀前后2D C/SiC复合材料热扩散性能的演变规律,研究了环境损伤对C/SiC复合材料热扩散性能的作用机制。在水蒸气和氧气混合环境下,C/SiC复合材料内部气孔率增加,同时在材料表面有氧化物形成。材料内部出现的气孔,阻断了热流在材料内部的传输,使得热扩散性能呈现出直线下降的趋势。氧化物的形成,在一定程度上封填裂纹,有助于热量的传输,能够在一定程度上改善材料热扩散性能。     

以持续抽象策略实现软件体系架构进化

以对传统的模型-视图-控制器(MVC)体系架构框架实施的进化过程为例,针对软件系统的体系架构模式／框架设计,识别并提出一种新的进化式设计理念体系:基于持续抽象策略的进化式设计理念体系; 并探索了以这种理念体系及其语言记录和传承软件系统设计经验及其进化能力历史的可能性。本文指出,架构方案的可抽象能力是软件架构进化能力的核心因素,决定架构方案在软件进化过程中的生存能力。新的进化式设计方法学理念体系建议以持续抽象过程作为体系架构设计的进化策略,以领导软件体系架构的进化方向,持续加强软件体系架构的可靠性、可扩展性、动态性和可复用性。还介绍了这一新的设计方法学理念体系在信号和逻辑集成工具SAL Studio1．0设计开发过程中的实践。     

基本随机变量的重要性测度及其概率密度演化算法

为进一步完善当前的基本变量的重要性分析,在单一的矩独立的重要性测度指标的基础上,建立了一个新的矩独立的重要性测度指标体系,该体系包括基本变量的总重要性测度、平均总重要性测度、主重要性测度和平均主重要性测度,用以衡量不同要求下基本随机变量对系统或模型输出响应整体不确定性的影响程度.给出了各个重要性测度指标的定义,分析了各个重要性测度指标的工程意义和适用范围.结合概率密度演化方法高效、准确的优点,提出了一种基于概率密度演化方法的重要性测度求解方法.文中算例证明:所提指标体系相比当前指标体系更加全面合理,所提方法能在高精度求得各重要性测度结果的基础上大幅提高计算效率.