舰载机增升装置对薄翼型升力系数的影响研究

描述了增升装置在提高舰载机薄翼型升力系数方面的作用,观察到大偏角前缘襟翼小迎角时对翼型升力曲线的影响,并通过与试验现象对比,初步探讨了非线性作用形成的可能机理。利用数值模拟方法,通过有限元计算软件对相同流场中多种增升装置的升力系数进行了模拟与比较,从而达到合理设计舰载战机翼型的目的。CFD计算结果表明,所设计的二维多段翼型有良好的气动特性,升力系数得到提高,具有较好的增升效果。     

关于矩阵的定义及其运算的新思路

在当前流行的线性代数教科书中，大都直接给出矩阵及其运算的抽象定义，并没有给出这些定义的实际背景和具体应用，使学生理解和接受起来有很大的困难。本文通过具体实例引出矩阵及其运算的概念，这不但使学生很自然地理解矩阵及其运算的定义，而且也加强了学生解决实际问题的能力。     

横越两圆柱体的传热特性

用数值方法求解绕过两圆柱的对流传热问题。贝克列数在０－５０的范围内，了四种不同间距时的传热情况。从中发现两圆柱的传热特性相互有影响，这种影响随意距变化很敏感，两圆柱中任一个的平均谢尔特数总是小于单个圆柱的。并给出了简化计算的条件与公式。     

An artificial neural network approach for aerodynamic performance retention in airframe noise reduction design of a 3D swept wing model

With the progress of high-bypass turbofan and the innovation of silencing nacelle in engine noise reduction, airframe noise has now become another important sound source besides the engine noise. Thus, reducing airframe noise makes a great contribution to the overall noise reduction of a civil aircraft. However, reducing airframe noise often leads to aerodynamic perfor-mance loss in the meantime. In this case, an approach based on artificial neural network is intro-duced. An established database serves as a basis and the training sample of a back propagation (BP) artificial neural network, which uses confidence coefficient reasoning method for optimization later on. Then the most satisfactory configuration is selected for validating computations through the trained BP network. On the basis of the artificial neural network approach, an optimization pro-cess of slat cove filler (SCF) for high lift devices (HLD) on the Trap Wing is presented. Aerody-namic performance of both the baseline and optimized configurations is investigated through unsteady detached eddy simulations (DES), and a hybrid method, which combines unsteady DES method with acoustic analogy theory, is employed to validate the noise reduction effect. The numerical results indicate not merely a significant airframe noise reduction effect but also excel-lent aerodynamic performance retention simultaneously.     

航路爬升性能计算

本文以 B737—300为例介绍了根据飞机及发动机的极曲线、最大爬升推力和燃油流量等原始数据及给定的爬升规律(如表速250KT/280KT/M0.74)计算在标准大气和非标准大气中航路爬升性能的方法及程序,计算结果与该机型使用手册中给出的 ISA—10,ISA,…,ISA 20的爬升数值表非常吻合。本文所述的方法及程序是通用的,对大爬升角的情况亦适用。     

中纬突发E层特性的模拟分析

从基本的连续性方程出发，并结合运动方程，运用特征线方法求解，在合理的动力学假设条件下，模拟金属离子的汇聚，即Es层的形成．模拟的结果在一定程度上证实了风剪切理论的合理性．通过改变风场和电场模式的输入参量，使模拟的结果体现出不同当地时、不同季节的金属离子汇聚情况，讨论了模拟Es层峰值密度对风场和电场的周日和季节变化的响应，其结果与统计得到的Es层出现率的时间分布特征相似．     

D-Q方法求实系数高次代数方程的全部根

本文介绍了一种求实系数高次代数方程全部根的新方法。提出一种求根精度的新标准。     

箭体上的凸起物对火箭气动特性的影响

综合大量实验研究结果,本文给出了火箭箭体上的环形凸起物和纵向凸起物对火箭气动特性的影响。其中最主要的是改变滚转力矩的大小和方向。而这正是姿态控制系统设计的重要依据之一。因此,给出凸起物的设计原则,对火箭气动设计有实际意义。     

Assessment on critical technologies for conceptual design of blended-wing-body civil aircraft

Civil aviation faces great challenges because of its robust projected future growth and potential adverse environmental effects. The classical Tube-And-Wing(TAW) configuration following the Cayley's design principles has been optimized to the architecture's limit, which can hardly satisfy the further requirements on green aviation. By past decades' investigations the BlendedWing-Body(BWB) concept has emerged as a potential solution, which can simultaneously fulfill metrics of noise, emission and fuel burn. The purpose of the present work is to analyze the developments of critical technologies for BWB conceptual design from a historical perspective of technology progress. It was found that the high aerodynamic efficiency of BWB aircraft can be well scaled by the mean aerodynamic chord and wetted aspect ratio, and should be realized with the trade-offs among stability and control and low-speed performance. The structure concepts of non-cylinder pressurized cabin are of high risks on weight prediction and weight penalty. A static stability criterion is recommended and further clear and adequate criteria are required by the evaluations of flying and handling qualities. The difficulties of propulsion and airframe integration are analyzed. The energy to revenue work ratios of well-developed BWB configurations are compared,which are 31.5% and 40% better than that of TAW, using state-of-art engine technology and future engine technology, respectively. Finally, further study aspects are advocated.     

Application of a PCA-DBN-based surrogate model to robust aerodynamic design optimization

An efficient method employing a Principal Component Analysis (PCA)-Deep Belief Network (DBN)-based surrogate model is developed for robust aerodynamic design optimization in this study. In order to reduce the number of design variables for aerodynamic optimizations, the PCA technique is implemented to the geometric parameters obtained by parameterization method. For the purpose of predicting aerodynamic parameters, the DBN model is established with the reduced design variables as input and the aerodynamic parameters as output, and it is trained using the k-step contrastive divergence algorithm. The established PCA-DBN-based surrogate model is validated through predicting lift-to-drag ratios of a set of airfoils, and the results indicate that the PCA-DBN-based surrogate model is reliable and obtains more accurate predictions than three other surrogate models. Then the efficient optimization method is established by embedding the PCA-DBN-based surrogate model into an improved Particle Swarm Optimization (PSO) framework, and applied to the robust aerodynamic design optimizations of Natural Laminar Flow (NLF) airfoil and transonic wing. The optimization results indicate that the PCA-DBN-based surrogate model works very well as a prediction model in the robust optimization processes of both NLF airfoil and transonic wing. By employing the PCA-DBN-based surrogate model, the developed efficient method improves the optimization efficiency obviously.