无波动,无自由参数的耗散差分格式（NND）在喷流计算中的应用

本文用文献[1]建立的无波动、无自由参数的耗散差分格式(NND格式),对无粘喷流流动进行了数值模拟,并就一典型的自由射流流动,与国外高精度、高分辨率的PLM差分格式(Piecewise-Linear Method)的计算结果和实验结果作了比较,得到了很一致的结果,且所用的计算时间少于PLM格式。     

基于响应面法的机翼气动/结构一体化优化设计研究

基于响应面法进行了机翼气动/结构一体化优化设计研究,流动控制方程为三维欧拉方程,采用有限体积法进行数值求解,应力和结构变形采用有限元方法计算,静气动弹性分析采用强耦合迭代方式,响应面模型采用二次多项式来构造.以跨音速M6机翼为初始机翼,进行了多目标、多约束情形下的气动/结构综合优化设计,优化后所得到的新机翼具有更佳的气动/结构综合性能,升阻比增加了9.25%,而重量减轻了4.84%;响应面模型精度满足设计要求,拟合误差均不超过1%;这说明本文所发展气动/结构综合优化设计方法是成功且有效的,具有广泛的应用前     

基于SAGWO算法的UCAVs动态协同任务分配

通过分析无人作战飞机（UCAV）优势概率和任务联合威胁以及定义任务时间,建立了以目标价值毁伤、编队损耗代价和时间消耗为性能指标的多无人作战飞机（UCAVs）多约束动态任务分配数学模型,采用改进的灰狼优化（GWO）算法对数学模型进行求解;针对基本GWO算法求解早熟的缺点,给出了自适应调整策略和跳出局部最优策略,引入了二次曲线控制方法;对UCAVs动态协同任务分配特点,设计了目标任务序列编码方式,提出了基于自适应GWO（SAGWO）算法的UCAVs多目标动态任务分配方法。从静态与动态2种情况分别对该方法进行仿真验证;仿真结果表明,该方法是有效的,相比较于其他算法,其优化过程快速精准。      

Space-Wise,Time-Wise,Torus and Rosborough Representations in Gravity Field Modelling

The decade of the geopotentials started July 2000 with the launch of the German high-low SST mission CHAMP. Together with the joint NASA-DLR low-low SST mission GRACE and the ESA gradiometry mission GOCE an unprecedented wealth of geopotential data becomes available over the next few years. Due to the sheer number of unknown gravity field parameters (up to 100 000) and of observations (millions), especially the latter two missions are highly demanding in terms of computational requirements. In this paper several modelling strategies are presented that are based on a semi-analytical approach. In this approach the set of normal equations becomes block-diagonal with maximum block-sizes smaller than the spherical harmonic degree of resolution. The block-diagonality leads to a rapid and powerful gravity field analysis tool. Beyond the more-or-less conventional space-wise and time-wise formulations, the torus approach and Rosborough's representation are discussed. A trade-off between pros and cons of each of the modelling strategies will be given. This revised version was published online in August 2006 with corrections to the Cover Date.     

二维非结构网格的生成及其EULER方程解

 采用推进阵面法生成三角形非结构网格,用多重网格技术求解泊桑方程以取得结构背景网格.提出了一种高效的边界剖分法,并用它来生成初始阵面.另外,还提出了一种新颖的数据结构——数组链接表,用它来存贮网格数据.用有限体积法在非结构网格中求解了二维可压缩Euler方程,给出了单段翼型和多段翼型的算例,并与实验结果进行了比较和分析.     

基于统计能量分析进行声学优化设计的技术研究

阐述了用统计能量分析方法进行声、振环境预计的研究机理,为利用统计能量分析方法进行飞机舱内声学优化设计提供了探索的思路;论述了统计能量分析方法在民机舱内噪声分析上的应用优势和局限性。以某型号飞机客舱段为实例,建立了统计能量声学模型及加载,通过选择不同的飞机客舱壁板材料,进行客舱环境的声压级预计并分析预计结果,从而确定舱内声学设计优化方案。     

基于中弧线曲率控制的压气机叶型优化

为提高压气机叶型优化设计水平,基于中弧线曲率控制方法编写了压气机叶片造型程序,将中弧线曲率控制参数作为优化变量,结合粒子群寻优算法对传统可控扩散叶型(CDA)进行了优化研究。结果表明:基于中弧线曲率控制的叶片造型程序能够对CDA叶型进行较好的拟合,拟合叶型的气动性能与设计要求较符。优化叶型在设计点的总压损失降低了约6.34%,优化叶型总压损失随攻角变化较为平缓。在一定攻角范围内,叶型中弧线曲率峰值的前移能够将吸力面马赫数峰值前移,提高叶型吸力面的扩压能力,降低总压损失。在大攻角工况下,改进的中弧线曲率分布能够显著降低叶型总压损失。将中弧线曲率控制参数作为优化变量进行CDA叶型的优化是可行的。     

Strong geomagnetic activity forecast by neural networks under dominant southern orientation of the interplanetary magnetic field

The paper deals with the relation of the southern orientation of the north–south component _Bz$B_z$ of the interplanetary magnetic field to geomagnetic activity (GA) and subsequently a method is suggested of using the found facts to forecast potentially dangerous high GA. We have found that on a day with very high GA hourly averages of _Bz$B_z$ with a negative sign occur at least 16 times in typical cases. Since it is very difficult to estimate the orientation of _Bz$B_z$ in the immediate vicinity of the Earth one day or even a few days in advance, we have suggested using a neural-network model, which assumes the worse of the possibilities to forecast the danger of high GA – the dominant southern orientation of the interplanetary magnetic field. The input quantities of the proposed model were information about X-ray flares, type II and IV radio bursts as well as information about coronal mass ejections (CME). In comparing the GA forecasts with observations, we obtain values of the Hanssen–Kuiper skill score ranging from 0.463 to 0.727, which are usual values for similar forecasts of space weather. The proposed model provides forecasts of potentially dangerous high geomagnetic activity should the interplanetary CME (ICME), the originator of geomagnetic storms, hit the Earth under the most unfavorable configuration of cosmic magnetic fields. We cannot know in advance whether the unfavorable configuration is going to occur or not; we just know that it will occur with the probability of 31%.     

基于涡方法生成大涡模拟进口条件的数值计算

探索改进涡方法来生成大涡模拟的非定常进口条件.改进方法中,为了避免局部漩涡数量过多或者过少,采用密度分布方式放置漩涡场.并用Langevin方程控制漩涡运动,模拟实验方法中的蜂窝器,使改进后的涡方法生成的脉动速度场更加符合湍流的特征.在已知雷诺平均的流场结果下,利用涡方法产生漩涡场,进而生成能满足大涡模拟所需要的非定常进口流场.为了检验改进后的涡方法在生成脉动速度过程中的效果,在槽道中进行了对比数值试验,并借助于直接数值模拟数据做对比,对比分析槽道进出口的平均速度、涡量以及雷诺应力统计,证明改进后的涡方法在生成大涡模拟进口条件下是非常有效的.      

基于卡尔曼滤波的翼型表面压力实时重构方法

为实现基于稀疏数据的翼型表面压力实时重构,提出了一种基于压缩感知与卡尔曼滤波器的数据融合方法,该方法主要包括线下建立数据库和线上实时感知两部分。首先,在线下通过粒子图像测速技术、压敏漆、计算流体力学等方法对翼型表面压力进行全场采样,并采用本征正交分解对所测得的全场压力数据进行降维,建立含有主导相干流动结构的模态数据库以及各模态时间系数之间的状态转换关系。其次,在线上基于压缩感知,利用离散压力传感器所测量数据与压力场主导模态,通过求解$ {L}_{1} $范数下的最优化问题,对各主导模态的时间系数进行初步求解。最后,将线下所得各模态时间系数之间的状态转换关系放入卡尔曼滤波器,作为其系统模型进行预测;将线上所求得各模态时间系数放入卡尔曼滤波器,作为其观测值进行校正。以CFD模拟翼型压力作为验证数据,对该方法的性能进行评估,结果显示：该方法与仅采用压缩感知进行重构对比,升力重构误差从18.15%减小至6.39%。