涡轴发动机全状态实时气动热力学数值模拟

用“外推”法得到了某燃气涡轴发动机起动状态的部件特性,采用容积法建立了表达发动机热力过程特性的非线性方程组,解决了通常的部件法建模需要迭代的问题,建立了1个涡轴发动机全状态气动热力学实时模型;在起动建模中考虑了温升对部件效率的影响以及传热对燃气热焓的影响。给出了某发动机从起动到最大状态全过程的数值模拟结果。     

压电智能桁架的振动控制和结构的一体化优化设计

 提出了压电智能桁架的振动控制和结构的一体化优化设计方法。在优化模型中既能考虑结构设计指标,又能考虑振动控制指标,并且能同时进行控制参数和结构设计参数的联合优化设计,给出了灵敏度计算和优化求解方法,数值算例表明了本文方法的有效性。     

基于灰色聚类的磨粒自动识别

 将灰色系统理论中的聚类分析技术用于磨损颗粒的自动识别, 编制了相应的计算机模拟程序。在对磨粒图象的形态特征参数进行敏感性分析的基础上, 确定了各参数的灰类白化权函数, 并结合磨粒识别的试验研究, 给出了磨粒各特征参数的聚类权值。应用此方法对一组标准磨粒进行了模拟识别, 识别正确率在90% 以上, 并且识别速度很快, 大大优于传统的磨粒识别方法。     

Optimal assimilation for ionospheric weather – Theoretical aspect

Observation, specification and prediction of ionospheric weather are the key scientific pursuits of space physicists, which largely based on an optimal assimilation system. The optimal assimilation system, or commonly called data assimilation system, consists of dynamic process, observation system and optimal estimation procedure. We attempt to give a complete framework in this paper under which the data assimilation procedure carries through. We discuss some crucial issues of data assimilation as follows: modeling a dynamic system for ionospheric weather; state estimation for static or steady system in sense of optimization and likelihood; state and its uncertainty estimation for dynamic process. Meanwhile we also discuss briefly the observability of an observation system; system parameter identification. Some data assimilation procedures existed at present are reviewed in the framework of this paper. As an example, a second order dynamic system is discussed in more detail to illustrate the specific optimal assimilation procedure, ranging from modeling the system, state and its uncertainty calculation, to the quantitatively integration of dynamic law, measurement to significantly reduce the estimation error. The analysis shows that the optimal assimilation model, with mathematical core of optimal estimation, differs from the theoretical, empirical and semi-empirical models in assimilating measured data, being constrained by physical law and being optimized respectively. The data assimilation technique, due to its optimization and integration feature, could obtain better accurate results than those obtained by dynamic process, measurement or their statistical analysis alone. The model based on optimal assimilation meets well with the criterion of the model or algorithm assessment by ‘space weather metrics’. More attention for optimal assimilation procedure creation should be paid to transition matrix finding, which is usually not easy for practical space weather system. High performance computing hardware and software studies should be promoted further so as to meet the requirement of large storage and extensive computation in the optimal estimation. The discussion in this paper is appropriate for the static or steady state or transition process of dynamic system. Many phenomena in space environment are unstable and chaos. So space environment study should include and integrate these two branches of learning. This revised version was published online in August 2006 with corrections to the Cover Date.     

用红外热图技术进行升力体模型气动热特性试验研究

本文在介绍模型表面热流测量方法的基础上,重点介绍了红外热图技术测量的优点,并对红外测温原理、高超声速低密度风洞、红外热像仪、试验模型、数据处理方法等进行了叙述.在M∞＝16,P0＝1500kPa,T0＝923K,α＝0°、30°迎角的试验条件下,获得了半球圆柱模型、升力体模型表面对流换热系数分布,并把半球圆柱模型的红外测热结果与Lees分布结果进行了分析比较,结果表明当40°＜θ＜80°时,半球圆柱模型红外测热结果与Lees分布结果符合得比较好.最后对对流换热系数测量不确定度进行了初步分析.升力体模型对流换热系数测量不确定度大致为15%左右.     

复合材料缺陷的红外热波无损检测

简述了红外热波无损检测的原理，并利用红外热波无损检测系统对铝蜂窝夹芯结构复合材料和泡沫夹芯结构复合材料的胶接界面脱粘缺陷进行了检测。结果表明，该方法检测此类缺陷快速、高效、直观。引入界面层的概念，建立了此类复合材料缺陷红外热波检测的数学分析模型，利用该模型简单方便地对热像图进行了理论分析。     

我国金融结构与经济发展关系研究

当前我国金融结构问题日渐突出,其与经济发展之间的关系越来越受到重视.首先分析了我国的金融结构,并用实证分析的方法分析了其与经济发展之间的关系,最后提出了政策建议.     

航路规划决策支持系统

根据航路规划和一般决策支持系统的要求,确定了航路规划决策支持系统的功能,由确定的功能导出了分系统的组成、要求和一些实现方法以及系统开发的软硬件要求,并简要介绍了地理信息系统及其开发方法。     

TC21合金的高温变形行为

采用等温压缩试验法,研究了TC21钛合金在温度范围为900～1100℃和应变速率为0.01～50s-1范围内的高温变形行为,建立了合金热变形的本构方程。结果表明,TC21合金在较高温度条件下,变形机制为动态回复,在较低温度下,变形机制为晶界滑移。其转折温度在相变点附近,在此温度上下,变形激活能不同,两相区变形激活能为330.57kJ/mol,β区变形激活能为176.49kJ/mol。     

一种基于神经网络补偿动态逆误差的方法

讨论了一种基于神经网络自适应补偿动态逆误差的方法，并应用于超机动飞机控制器设计中，飞机的基本控制采用非线性动态逆方法进行设计，对于模型不准确导致的逆误差采用神经网络进行在线补偿，仿真结果表明，采用神经网络补偿误差，弥补了非线性动态逆要求精确数学模型的缺点，而且可以简化动态逆控制律的设计，改善整个控制系统的性能。