大攻角状态压气机分离流及叶片动力响应特性

为研究大攻角状态压气机转子内部分离区的脱落和传播过程及转子叶片对其动力响应问题,对某跨声速压气机级进行了非定常数值模拟和双向迭代流固耦合数值模拟。研究结果表明,在近失速状态,转子叶片通道内会周期性地发生2次叶背分离区的脱落和传播现象。第1个分离区主要表现出轴向传播特性,其会对下游流场产生影响;第2个分离区主要表现出周向传播特性,其会作用于周向相邻的转子叶片,对转子叶排自身产生激励作用,进而影响叶片表面压力分布,引起叶片较强的动力响应,对叶片结构强度的影响不可忽略。非定常/流固耦合计算手段能够较全面地预测流场中激励源的频率、幅值与位置等,在压气机设计阶段应对此类预测工作予以重视,以期更准确地预测叶片共振及动力响应等问题。     

Application of SVM on satellite images to detect hotspots in Jharia coal field region of India

The present paper deals with the application of Support Vector Machine (SVM) and image analysis techniques on NOAA/AVHRR satellite image to detect hotspots on the Jharia coal field region of India. One of the major advantages of using these satellite data is that the data are free with very good temporal resolution; while, one drawback is that these have low spatial resolution (i.e., approximately 1.1 km at nadir). Therefore, it is important to do research by applying some efficient optimization techniques along with the image analysis techniques to rectify these drawbacks and use satellite images for efficient hotspot detection and monitoring. For this purpose, SVM and multi-threshold techniques are explored for hotspot detection. The multi-threshold algorithm is developed to remove the cloud coverage from the land coverage. This algorithm also highlights the hotspots or fire spots in the suspected regions. SVM has the advantage over multi-thresholding technique that it can learn patterns from the examples and therefore is used to optimize the performance by removing the false points which are highlighted in the threshold technique. Both approaches can be used separately or in combination depending on the size of the image. The RBF (Radial Basis Function) kernel is used in training of three sets of inputs: brightness temperature of channel 3, Normalized Difference Vegetation Index (NDVI) and Global Environment Monitoring Index (GEMI), respectively. This makes a classified image in the output that highlights the hotspot and non-hotspot pixels. The performance of the SVM is also compared with the performance obtained from the neural networks and SVM appears to detect hotspots more accurately (greater than 91% classification accuracy) with lesser false alarm rate. The results obtained are found to be in good agreement with the ground based observations of the hotspots. This type of work will be quite helpful in the near future to develop a hotspots monitoring system using these operational satellites data.     

Hypothesis-test-based landcover change detection using multi-temporal satellite images – A comparative study

Remote sensing images and technologies have been widely applied to environmental monitoring, in particular landuse/landcover classification and change detection. However, the uncertainties involved in such applications have not been fully addressed. In this paper two hypothesis-test-based change detection methods, namely the bivariate joint distribution method and the conditional distribution method, are proposed to tackle the uncertainties in change detection by making decisions based on the desired level of significance. Both methods require a data set of class-dependent no-change pixels to form the basis for class-dependent hypothesis test. Using an exemplar study area in central Taiwan, performance of the proposed methods are shown to be significantly superior to two other commonly applied methods (the post-classification comparison and the image differencing methods) in terms of the overall change detection accuracies. The conditional distribution method takes into consideration the correlation between digital numbers of the pre- and post-images and the effect of the known pre-image digital number on the range of the post-image digital number, and therefore yields the highest change detection accuracy. It is also demonstrated that the class-dependent change detection is crucial for accurate landuse/landcover change detection.     

中间件技术的研究及应用

本文在分析了分布式应用系统体系结构发展变化的基础上．阐述了中间件的概念、功能和在可重用、多异构数据源应用系统的作用，对ODBC、BDE／IDAPIT、0LEDB／ADO和JDBC等分布式数据库中间件；CGI、lSAPI／NSAPI、ASP、JSP等中间件进行了分析比较，并给出了中间件技术在教务管理信息系统的应用实例。     

A Structured Mesh Euler and Interactive Boundary Layer Method for Wing/Body Configurations

To compute transonic flows over a complex 3D aircraft configuration, a viscous/inviscid interaction method is developed by coupling an integral boundary-layer solver with an Eluer solver in a ＂semi-inverse＂ manner. For the turbulent boundary-layer, an integral method using Green＇s lag equation is coupled with the outer inviscid flow. A blowing velocity approach is used to simulate the displacement effects of the boundary layer. To predict the aerodynamic drag, it is developed a numerical technique called far-field method that is based on the momentum theorem, in which the total drag is divided into three component drags, i.e. viscous, induced and wave-formed. Consequently, it can provide more physical insight into the drag sources than the often-used surface integral technique. The drag decomposition can be achieved with help of the second law of thermodynamics, which implies that entropy increases and total pressure decreases only across shock wave along a streamline of an inviscid non-isentropic flow. This method has been applied to the DLR-F4 wing/body configuration showing results in good agreement with the wind tunnel data.     

微纳米尺度流动实验研究的问题与进展

微纳米实验流体力学研究的流动特征尺度在1mm～1nm范围,处于宏观流动到分子运动的过渡区。连续介质力学与量子力学这两个经典理论的衔接,提出了诸如连续性假设适用性、边界滑移等基本理论问题。同时从微纳米尺度研究界面处液/固/气的耦合,化学、电学性质对流动的影响值得关注。微纳米实验测量仪器融入了力、电等测量手段,要求测量空间精度达到nm量级,力的测量精度达到pN,时间分辨率达到ns。本文围绕连续性假设适用性、边界滑移、微纳米粒子布朗运动及微尺度涡旋测量等问题,介绍了 Micro/Nano PIV、示踪粒子流场显示等技术应用于微纳流场观测的进展与难点。目前微纳米流动测量仍然沿着经典流体力学测量“小型化”的思路开展,而纳尺度的测量期待着新的实验方法与技术的提出。     

几种常用格式和湍流模型在高速流动中的适用性研究

针对高超声速飞行器中存在的强激波、激波/边界层干扰、分离、湍流等复杂流动现象,对比分析了当前计算流体力学中的主要空间离散格式及湍流模型,发现不同格式对强激波的分辨率基本相同,Roe和LDE(low diffusion E-CUSP(convective upwind split pressure))格式对摩擦因数和传热系数的模拟优于其他格式;S-A(Spalart-Allmaras)一方程湍流模型计算的摩擦因数比k-ωSST(shear stress transport)两方程湍流模型高10%左右,而后者预测的分离区约为前者的2倍,且分离点靠前.     

直升机气动噪声抑制与飞行测试研究进展

直升机在军用和民用领域发挥着越来越重要的作用,新的旋翼技术和构型不断出现,对直升机噪声研究需不断深入和更新。本文首先概述了旋翼（尾桨）的噪声产生机理和传播规律,并扩展到存在复杂气动或噪声干扰的共轴刚性旋翼高速直升机和倾转旋翼机;接下来介绍了直升机飞行噪声测量进展,已发展成多种测量方式作为降噪设计的验证和评估手段;然后综述了降噪设计技术的发展现状：旋翼被动降噪技术已在直升机领域得到大量应用,直升机噪声水平稳步降低;变转速控制技术和低噪声轨迹优化技术逐渐走向成熟;旋翼主动降噪技术更多地停留在实验室阶段,尚需在驱动装置、控制规律等方面开展进一步研究。最后总结了直升机降噪设计现状,并展望了未来发展方向。     

Lateral Flight Technical Error Estimation Model for Performance Based Navigation

Flight technical error (FTE) combined with navigation system error (NSE) is the main part of total system error (TSE) in performance based navigation (PBN).The implementation of PBN requires pre-flight prediction and en-route short-term dynamical prediction of the TSE.Once the sum of predicted lateral FTE and NSE is greater than the specified PBN value,the PBN cannot operate.Thus,accurate modeling and thorough analysis of lateral FTE are indispensible.Multiple-input multiple-output (MIMO) lateral track control system of a transport aircraft is designed using linear quadratic Gaussian and loop transfer recovery (LQG/LTR) method,and the lateral FTE of a turbulence disturbed approach operation is analyzed.The error estimation mapping function of latera FTE and its bound estimation algorithm are proposed based on singular value theory.According to the forming mechanism of lateral FTE,the algorithm considers environmental turbulence fluctuation disturbance,aircraft dynamics and control system parameters.Real-data-based Monte-Carlo simulation validates the theoretical analysis of FTE.It also shows that FTE is mainly caused by turbulence fluctuation disturbance when automatic flight control system (AFCS) is engaged and would increase with escalating environmental turbulence intensity.