NASTRAN在压力系数分布形态分析中的应用

针对机翼压力系数分布形态分析工作存在辨识困难的问题，通过对压力系数数据格式的变换处理，利用MSC．NASTRAN for Windows2．0的图形显示功能，将压力系数分布的分析辨识工作由分析数据文件变为查看在电脑屏幕上可视化的分布图形，极大地提高了压力系数分布分析工作的效率。     

Empirical analysis of airport network and critical airports

Air transport network, or airport network, is a complex network involving numerous airports. Effective management of the air transport system requires an in-depth understanding of the roles of airports in the network. Whereas knowledge on air transport network properties has been improved greatly, methods to find critical airports in the network are still lacking. In this paper, we present methods to investigate network properties and to identify critical airports in the network. A novel network model is proposed with airports as nodes and the correlations between traffic flow of airports as edges. Spectral clustering algorithm is developed to classify airports. Spatial distribution characteristics and intraclass correlation of different categories of airports are carefully analyzed. The analyses based on the fluctuation trend of distance-correlation and power spectrum of time series are performed to examine the self-organized criticality of the network. The results indicate that there is one category of airports which dominates the self-organized critical state of the network. Six airports in this category are found to be the most important ones in the Chinese air transport network. The flights delay occurred in these six airports can propagate to the other airports, having huge impact on the operation characteristics of the entire network. The methods proposed here taking traffic dynamics into account are capable of identifying critical airports in the whole air transport network.     

基于定常N-S方程的导弹滚转数值模拟研究

基于商业CFD软件FLUENT定常N-S方程,在不同计算资源下数值模拟了某标准导弹在不同飞行马赫数、滚转速度和迎角时的滚转特性,并与AEDC报告实验结果进行了对比。计算结果验证了定常算法数值模拟滚转阻尼系数的可行性及其在不同计算资源下计算精度的可优化性,而且定常算法与非定常计算相比消耗更少的计算资源。     

Transponder calibration of the Envisat RA-2 altimeter Ku band sigma naught

Although the history of spaceborne altimeters goes back to the early seventies, the absolute calibration of the backscattering coefficient has never been deeply investigated. This information has been primarily used to infer the wind speed via an empirical model, and the intercalibration among different satellite altimeters has revealed to be suitable for this purpose, being the wind retrieval based on an empirical relationship. As far as Ku band system is concerned, the sigma naught absolute calibration of the Envisat altimeter (RA-2) has been performed using an active reference target provided by a transponder. This has been exploited during the 6-month Commissioning phase to generate early calibration results. In order to monitor the RA-2 backscatter calibration during the Envisat lifetime, a continuous calibration effort has been carried out by operating the transponder as much as possible. This paper aims to review the entire effort for calibrating the RA-2 sigma naught measurements, which lasted for almost seven years. It presents in detail the adopted methodology and the final outcome of the activity, providing the users with the correction (bias) to get the calibrated sigma naught and analyzing its stability during almost the entire Envisat lifetime. Specifically, it is concluded that the RA-2 backscatter measurements were quite stable, even if a bias of about 1 dB should be considered with respect to the actually released product. Some small changes in the bias as function of time can be identified during most of the Envisat lifetime, consisting in a slight increase in the first two years, followed by a more stable period and a final drop observed at the end of 2009, until the conclusion of the calibration activity (corresponding to the change in Envisat orbit).     

成层土中缺陷桩瞬态响应及其参数分析

为了更好地解决基桩缺陷量化分析问题，从建立成层土中缺陷桩桩土系统模型入手，引入矩阵递推法，求解出成层土中多缺陷桩桩顶和桩身任意点的瞬态响应解析解，并应用此解对缺陷桩瞬态响应影响参数进行分析，得出在利用幅值比进行缺陷量化分析方法中的关键影响因素为桩侧土阻尼系数，为成层土中基桩缺陷量化分析和承载力评价奠定了理论基础。     

SPATIAL REGULARIZATION OF CANONICAL CORRELATION ANALYSIS FOR LOW-RESOLUTION FACE RECOGNITION

Canonical correlation analysis ( CCA ) based methods for low-resolution ( LR ) face recognition involve face images with different resolutions ( or multi-resolutions ), i.e.LR and high-resolution ( HR ) .For single-resolution face recognition , researchers have shown that utilizing spatial information is beneficial to improving the recognition accuracy , mainly because the pixels of each face are not independent but spatially correlated.However , for a multi-resolution scenario , there are no related works.Therefore , a method named spatial regularization of canonical correlation analysis ( SRCCA ) is developed for LR face recognition to improve the performance of CCA by the regularization utilizing spatial information of different resolution faces.Furthermore , the impact of LR and HR spatial regularization terms on LR face recognition is analyzed through experiments.     

制导系统误差系数天地因子的一致性检验

导弹飞行试验时制导系统误差系数(工具误差)与地面试验的误差系数是否一致(或部分一致),这是人们比较关心的问题,本文从理论上介绍了线性模型假设检验方法,应用这种方法检验制导系统工具误差天地因子的一致性,若一致(或部分一致)则验前信息可被充分利用以提高制导系统误差系数分离的效果。     

基于相关函数的盲信号分离准则

盲信号分离的依据通常是信号的独立性或利用它们的高阶累积量。考虑了双通道的盲分离问题，提出了一种基于相关函数的盲分离准则。证明了在源信号不相关的条件下，可以实现源信号的盲分离。并给出了一种可直接求解二次方程组的盲分离算法。     

747—400中央维护计算机系统综述

装在波音747—400飞机上的中央维护计算机系统(CMCS)收集和显示飞机有关系统的故障信息,并提出报告。CMC 还可以使众多的飞机系统完成地面试验。本文叙述了 CMC 系统、信息处理、地面起始试验以及 CMC 的其他功能。     

旋转状态下矩形微小通道流动与换热试验研究

为了研究微小通道结构在航空发动机涡轮叶片中应用的前景和可行性,以空气为冷却介质,在Re＝1000～3000、转速为0～500 r/min、Ro＝0～3.5×10-3条件下,对水力直径为1 mm的旋转微小通道组的流动和换热特性进行试验研究。结果表明：微小通道流阻系数呈现粗糙壁通道特征,通道临界Re≈2350,流阻系数以及临界Re随转速增加未见明显改变。在静止状态下,通道组综合换热系数随Re增大而增大,换热系数分布沿流动方向逐渐减小;在旋转状态下,通道组平均综合换热系数略有增大,旋转对换热特性的影响随着流动的发展而增大