尾喷管内部及其射流流场的数值模拟

通过求解三维Ｎ－Ｓ方程,对某型发动机尾喷管在亚临界及超临界状态下的性能进行了数值模拟,尤其对喷管射流流场及其对喷管内部流动的影响进行了研究。差分格式采用具有ＴＶＤ性质的三阶精度的Ｇｏｄｕｎｏｖ格式,射流场及内部流场简采用分区算法。数值试验表明,所采用的算法可以很好地处理来自于任意方向上的任意间断。     

舰—机适配条件对舰载机滑跃起飞性能的影响

针对不同舰-机适配条件下舰载机起飞安全性的问题,建立了飞机滑跃起飞动力学分析模型,用数值方法分析了飞机起飞质量、甲板参数、舰船航行速度等因素对飞机滑跃起飞性能的影响。仿真结果表明：舰载机起飞质量增大会减小其离舰爬升率;平直甲板越长或斜甲板出口倾角越大,离舰爬升率越大;但是出口倾角太大时,会使飞机离舰迎角超出限制;增大舰船的行驶速度,可以缩短舰载机起飞所需甲板的长度。     

一类非线性空间分布系统自适应容错控制

研究了一类由偏微分方程组(Partial differential equations,PDE)描述的非线性空间分布系统的自适应容错控制(Fault-tolerant control,FTC)问题。首先,采用模态分解方法将PDE系统表示为一个有限维慢子系统与一个无限维快子系统相耦合的型式;然后,基于慢子系统模型及小增益定理设计了自适应FTC律,使闭环系统在所有容许的未知非线性动态以及执行器卡死故障的影响下都能渐近稳定。     

一种改进的适应性超媒体学习单元模型

在netUniversité这一平台上,结合IMS LD标准建立学习单元模型,并以此标准根据新的教学需求对已有模型进行改进.将HBDI 全脑模型结合入学习内容管理工具,利用设计时工具Reload Editor和运行时工具CopperCore Player构造学习单元模型.     

Evaluation of Turbulence Models in Predicting Hypersonic and Subsonic Base Flows Using Grid Adaptation Techniques

The flows behind the base of a generic rocket, at both hypersonic and subsonic flow conditions, are numerically studied. The main concerns are addressed to the evaluation of turbulence models and the using of grid adaptation techniques. The investiga- tion focuses on two configurations, related to hypersonic and subsonic experiments. The applicability tests of different turbulence models are conducted on the level of two-equation models calculating the steady state solution of the Reynolds-averaged Navier-Stokes(RANS) equations. All used models, the original Wilcox k-ω, the Menter shear-stress transport (SST) and the explicit algebraic Reynolds stress model(EARSM) formulation, predict an asymmetric base flow in both cases caused by the support of the models. A comparison with preliminary experimental results indicates a preference for the SST and EARSM results over the results from the older k-ω model. Sensitivity studies show no significant influence of the grid topology or the location of the laminar to turbulent transition on the base flow field, but a strong influence of even small angles of attack is reported from the related experiments.     

基于自适应遗传算法的航迹关联模型

如何解决关联过程巾产生的多维分配问题,是研究多节点航迹关联的关键。遗传算法能够很好地解决组合优化问题。但是基本遗传算法具有收敛速度慢和易于早熟等缺点,对于计算航迹关联问题来说实时性较差。文章在利用遗传算法解决航迹关联问题算法的基础上进行了改进,提出了自适应策略。仿真试验表明,该模型能够使航迹关联保持较高的正确关联率和较快的计算速度。     

非结构混合网格鲁棒自适应技术

数值格式、湍流模型和计算网格是影响CFD数值模拟精度的3个主要因素。结合流场信息的网格自适应技术具备动态优化计算网格的能力,被NASA列为未来CFD发展的一项关键技术。本文针对非结构混合网格,发展了网格单元分布优化、表面网格几何投影和空间网格协调匹配3项关键技术,建立了高鲁棒性几何保真的网格自适应系统。首先,为了提高自适应方法的鲁棒性和通用性,发展了基于标准面网格的多面体网格单元分布优化方法。其次,发展了仅依赖表面网格信息的局部曲面重构技术,采用参数点映射方法实现了新增表面网格点的几何投影,消除了自适应系统对几何CAD系统的依赖。再次,采用改进的距离函数方法实现了空间网格与投影后表面网格的快速匹配。最后,结合基于流场特征的自适应探测器,采用二阶格式的有限体积方法,开展了30P30N三段翼绕流和三角翼大迎角绕流的网格自适应数值模拟。结果表明,通过网格自适应对网格单元的分布进行优化后,流场求解的收敛性和模拟精度都得到了显著提高。     

航天器燃耗最优轨道直接/间接混合法延拓求解

针对转移时间和始末状态固定的航天器燃耗最优轨道的求解,给出了一种延拓方法:以双脉冲轨道为初值,首先求解全程推进轨道,然后逐步增加推力幅值,应用直接/间接混合法依次求解所有推力幅值下的、满足包括开关函数在内的所有必要条件的转移轨道,包括连续和脉冲推力轨道。通过基于开关函数曲线变化趋势的开关序列预设方法,以及基于已有优化结果的延拓步长自适应方案,实现了延拓方法的自动运行。为实现该延拓方法,给出了适用于改进春分点根数模型的脉冲最优转移轨道主矢量必要条件,推导了无推力轨道段改进春分点根数协态变量状态转移矩阵。通过3个算例对延拓求解会遇到的不同情况进行了具体说明。延拓方法可以看作现有直接/间接混合法的进一步完善与拓展,延拓过程和结果有助于对燃耗最优轨道与系统参数之间的关联获得更为深刻的认识。     

Regression model for civil aero-engine gas path parameter deviation based on deep domain-adaptation with Res-BP neural network

The variations in gas path parameter deviations can fully reflect the healthy state of aero-engine gas path components and units; therefore, airlines usually take them as key parameters for monitoring the aero-engine gas path performance state and conducting fault diagnosis. In the past, the airlines could not obtain deviations autonomously. At present, a data-driven method based on an aero-engine dataset with a large sample size can be utilized to obtain the deviations. However, it is still difficult to utilize aero-engine datasets with small sample sizes to establish regression models for deviations based on deep neural networks. To obtain monitoring autonomy of each aero-engine model, it is crucial to transfer and reuse the relevant knowledge of deviation modelling learned from different aero-engine models. This paper adopts the Residual-Back Propagation Neural Network (Res-BPNN) to deeply extract high-level features and stacks multi-layer Multi-Kernel Maximum Mean Discrepancy (MK-MMD) adaptation layers to map the extracted high-level features to the Reproduce Kernel Hilbert Space (RKHS) for discrepancy measurement. To further reduce the distribution discrepancy of each aero-engine model, the method of maximizing domain-confusion loss based on an adversarial mechanism is introduced to make the features learned from different domains as close as possible, and then the learned features can be confused. Through the above methods, domain-invariant features can be extracted, and the optimal adaptation effect can be achieved. Finally, the effectiveness of the proposed method is verified by using cruise data from different civil aero-engine models and compared with other transfer learning algorithms.     

热传导方程有限差分区域分裂：显—隐算法的注记

把Rodrigue和Wolitzer（1995）提出的一种新型显格式应用于热传导方程有限差分区域分裂算法的内边界点,并得到这类显—隐算法的收效性结果。新算法的逼近阶较好,而且较纯新型显式方法可以节省一倍左右的计算量。