基于POD-RBFN降阶模型的串列叶栅流场预测

通过传统实验或CFD 手段获取流场信息的方法往往需要耗费大量资源或时间,这在需要快速获取大量流场信息时产生的成本是无法接受的,发展比传统CFD 更快速的流场预测方法具有重要意义。采用本征正交分解（POD）方法对样本流场进行模态分解,提取流场的主导模态;而后采用径向基函数神经网络（RBFN）响应POD 基函数的系数,实现流场降阶预测模型的构建,并在模型中采用基于函数响应偏差的自适应抽样方法;通过某串列叶栅非定常流场数据对预测模型进行验证。结果表明：本文构建的POD-RBFN 混合模型可以快速准确地预测出串列叶栅的流场参数分布;与静态采样相比,本文采用的自适应采样方法在采样效率上表现出明显优势,同样重构精度所需的样本数降低了25% 左右。     

双级径向旋流器对燃烧性能的影响

为保证航空发动机燃烧室具有良好的气动雾化性能并实现稳定、高效地燃烧,设计6种带有旋向相反的双级径向旋流器方案的单头部燃烧室,通过双级径向旋流器设计参数对燃烧性能影响的数值计算,得到不同主、副旋流器旋流数对燃烧室性能的影响规律,并进行试验验证。结果表明:数值计算与试验结果基本吻合。双级径向旋流燃烧室的燃烧效率超过99.9%,双级径向旋流器存在最佳的匹配方案,该方案使得燃烧室形成合适的回流区,并得到均匀的出口温度场。     

修正平均应力法预测轮盘破裂转速的试验研究

基于修正平均应力法,分析了TC17钛合金压气机轮盘型面尺寸参数对径向和周向破裂转速的影响,并对破裂模式的转变进行预判。进而设计了针对径向破裂模式的轮盘试验件,并开展了TC17钛合金压气机轮盘的破裂试验。轮盘破裂试验结果与修正平均应力法计算结果吻合较好,计算的破裂转速储备与试验结果的误差由修正前的7.24%下降为修正后的0.72%,可为工程应用提供依据。     

基于图像特征分类和RBF网络的两轴车辆动态称重技术

汽车在行驶过程中的总重信号通常由各轴重信号确定,各轴重信号的测试精度取决于对车辆运动参数和振动信号等的精确分析。本文采用径向基函数(Radial basis function,RBF)网络处理轴重信号,针对该网络的泛化能力与拟合精度的矛盾,将车辆按照重量分为大、中、小3种类型,并进行整车建模和网络训练;实际测试过程中,利用汽车俯视图像提取类型特征,然后根据汽车的类型将测试参数输入不同的神经网络进行处理,以静态测量结果为相对真值。仿真结果表明,分类建模比单一混合建模具有更高的测试精度。     

基于小生境遗传自适应RBFN的歼击机故障认定方法

在模式识别领域中,如何实现更高精度的分类一直是个核心问题。本文提出了将自适应RBF神经网络与小生境遗传算法相结合的方法,其中自适应RBF神经网络通过对样本判断,自动实现对RBF网络添加新的隐层节点或者将样本归于已存在的隐层节点所属的类;小生境遗传算法用于寻找最优的网络宽度值。两者相结合最后确定一个隐层节点数与类别数相同的俭省的网络。用歼击机故障数据进行仿真,比较结果表明此方法能实现更高精度的故障认定。     

深空探测航天器巡航段自主导航方法研究

对深空探测航天器自主导航方法进行了研究。为了应对深空探测中航天器轨道动力学模型的误差，在分光计测量航天器相对于太阳径向速度基础上，引入了小行星的视线矢量测量。通过最小二乘法计算出由小行星视线矢量所得到的位置信息，采用改进的信息融合方法修正扩展卡尔曼滤波中不精确的动力学模型造成的状态估计误差。同时计算了模型的能观度，对模型的可观性进行了分析。最后对算法进行了仿真分析，仿真结果表明，该算法对动力学模型的依赖性明显低于其他算法，在相同模型精度下，可获得更好的滤波精度。     

某微型发动机轴流涡轮与向心涡轮的气动性能及尺寸对比分析

为确定厘米级微型涡轮发动机在相对较大功率、流量需求时的涡轮形式,基于某直径为12 cm的微型发动机样机开展研究.估算了该样机整机环境下单级轴流涡轮的做功能力,并按参数优选规律设计了一台微型轴流涡轮,将之与该样机采用的微型向心涡轮对比,分析了两种叶轮在功率、效率及尺寸质量方面的差别.研究表明:在先进微型发动机压比提高(＞...     

An efficient large-scale mesh deformation method based on MPI/OpenMP hybrid parallel radial basis function interpolation

An efficient MPI/OpenMP hybrid parallel Radial Basis Function (RBF) strategy for both continuous and discontinuous large-scale mesh deformation is proposed to reduce the computational cost and memory consumption. Unlike the conventional parallel methods in which all processors use the same surface displacement and implement the same operation, the present method employs different surface points sets and influence radius for each volume point movement, accompanied with efficient geometry searching strategy. The deformed surface points, also called Control Points (CPs), are stored in each processor. The displacement of spatial points is interpolated by using only 20–50 nearest control points, and the local influence radius is set to 5–20 times the maximum displacement of control points. To shorten the searching time for the nearest control point clouds, an Alternating Digital Tree (ADT) algorithm for 3D complex geometry is designed based on an iterative bisection technique. Besides, an MPI/OpenMP hybrid parallel approach is developed to reduce the memory cost in each High-Performance Computing (HPC) node for large-scale applications. Three 3D cases, including the ONERA-M6 wing and a commercial transport airplane standard model with up to 2.5 billion hybrid elements, are used to test the present mesh deformation method. The robustness and high parallel efficiency are demonstrated by a wing deflection case with a maximum bending angle of 45° and more than 80% parallel efficiency with 1024 MPI processors. In addition, the availability for both continuous and discontinuous surface deformation is verified by interpolating the projecting displacement with opposite directions surface points to the spatial points.     

基于并行遗传算法的向心涡轮气动优化设计

为了提高向心涡轮轮周效率,保持流量、膨胀比不变,以流道、安装角、型面为设计变量,基于并行遗传算法的优化方法,对某微型发动机向心涡轮叶片气动性能进行多变量耦合的自动优化设计,利用商用软件NUMECA进行3维流场计算分析,并比较了优化前后向心涡轮转子的总体性能。结果表明:在设计工况下,向心涡轮的轮周效率提高近3%,流量也略有增加,膨胀比近似不变;在非设计工况下,优化叶片效率均高于初始叶片的,向心涡轮的整体性能得到提高。该算法不仅可自动实现多变量耦合优化,而且可高效地得到高气动性能叶片。     

Solar Wind Models from the Sun to 1 AU: Constraints by in Situ and Remote Sensing Measurements

There are three major types of solar wind: The steady fast wind originating on open magnetic field lines in coronal holes, the unsteady slow wind coming probably from the temporarily open streamer belt and the transient wind in the form of large coronal mass ejections. The majority of the models is concerned with the fast wind, which is, at least during solar minimum, the normal mode of the wind and most easily modeled by multi-fluid equations involving waves. The in-situ constraints imposed on the models, mainly by the Helios (in ecliptic) and Ulysses (high-latitude) interplanetary measurements, are extensively discussed with respect to fluid and kinetic properties of the wind. The recent SOHO observations have brought a wealth of new information about the boundary conditions for the wind in the inner solar corona and about the plasma conditions prevailing in the transition region and chromospheric sources of the wind plasma. These results are presented, and then some key questions and scientific issues are identified. This revised version was published online in June 2006 with corrections to the Cover Date.