基于波动耦合的复杂结构动力响应分析与研究

有限元法(FEM)适合低频分析,统计能量分析(SEA)方法适合高频分析,而一类较宽频带(中频段)的声振响应问题不适合单独用FEM或SEA方法解决。基于波动耦合的混合FE-SEA方法兼顾了FEM与SEA方法的优点,可预测中频段含一定不确定性的声振系统的稳态响应。本文阐释了混合FE-SEA方法的理论,分别通过典型结构的蒙特卡罗仿真与复杂系统的噪声试验两案例对该方法进行了验证,其中梁-板典型结构能量响应计算值与蒙特卡罗仿真值具有较好的一致性;复杂飞行器系统的振动响应与试验结果较为吻合,舱内噪声声压级(SPL)误差小于3dB,证明了混合FESEA方法的有效性,解决了FEM与SEA方法在中频复杂声振响应中的局限性这一问题。     

民机高速风洞试验的阻力雷诺数效应修正

在飞机设计阶段,获得准确的气动特性数据对设计者是十分重要的,采用缩比模型的风洞试验是主要途径之一。但是风洞条件限制了试验的Re数,从而影响了对跨音速巡航阻力的评估,因此需要对风洞试验结果的阻力进行Re数效应修正。分析了风洞试验结果阻力的误差构成,提出了Re数效应修正的风洞试验数据基础;进一步就跨音速巡航阻力的构成进行分析,论述了对最小阻力和升致阻力分项修正的方法,并对修正结果进行了验证,得到了一种可靠的工程方法。     

对PIO预测的A值及A准则的分析

从应用的角度详细地介绍了国外预测PIO时使用A值及A准则的情况。进行了计算公式的推导，讨论了准则在推导过程中所采用的假设及其适用情况，重新整理和校核了计算步骤和算例，以便于推广使用。     

现代飞机驾驶员诱发振荡机理和预测研究

在说明驾驶员诱发振荡的定义，简单介绍了现代飞机的ＰＩＯ类型之后，详细分析了影响ＰＩＯ的各种因素（如飞机的动态特性、操纵面伺服器，座舱操纵感觉系统，驾驶员及诱发因素等）；为了探讨驾驶员操纵行为对ＰＩＯ的影响，采用优化控制理论，建立等效驾驶员操纵动态模型；研究飞行品质与ＰＩＯ的关系，建立相应的预测ＰＩＯ的准则。     

模拟JJ—7飞机纵向摆动试飞研究

本文论述了BW-1变稳机空中飞行模拟H-7飞机发生两次纵向摆动时飞行状态特性,通过试飞研究其飞行品质,校核驾驶员诱发振荡(PIO)发生的可能性;并对解决PIO的方案进行了验证试飞研究,提出了排除PIO较适宜的参数值.试飞证明,空中飞行模拟试验是研究PIO的有效方法之一.     

Σ-演算的范畴模型

Σ-演算是并发演算CC的子理论,集中体现CC中的并行运算部分的特征。本文将并发通信系统看作是由状态加变换构成的动态系统,建立了Σ-演算的范畴模型(Categorical ModeI),其基本思想是:把Σ-演算中的公式对应于范畴构造中的对象(Objects),Σ-演算中的推演对应于范畴中的态射(Morphisms),从而通过Σ-演算的结构操作语义自然地得到一种范畴结构。这种方法可以推广到其它并发理论之中,例如网论和逻辑方法(如线性逻辑Linear Logic),从而范畴论可以作为描述并发、通信和非确定性行为的统一的形式化框架。     

A systematic spatial bias in remembering eye positions

Categorical bias in location memory in geometric spaces is well established. The present study assessed the presence of the bias in locating eyes in images of human faces. Participants were presented with digital faces and indicated the position of one of the eyes in both upright and inverted orientations. Biases resulted from participants using multiple sources of accessible information. No differences were found for upright vs. inverted face images. Overall, the data were consistent with the retrieval category adjustment model. These distortions may be considered within the forensic context, when eyewitnesses work with a sketch artist or use a computer program to generate an image of the culprit.     

扩压叶栅叶尖非定常流动的涡动力学机理

为了揭示压气机叶尖区旋涡结构与流动非定常性之间的关联，采用URANS对一亚声速平面扩压叶栅在不同攻角下的流场进行了求解，并借助Q判据提取了叶尖瞬态涡系结构。结果表明：泄漏涡的破碎现象能够通过诱导新的涡结构间接作用于相邻通道的叶尖流动，是导致叶尖流场失稳的关键因素。在-0.3°和+0.7°攻角下，叶尖泄漏涡发生了螺旋破碎，并伴随有非定常诱导涡的出现，诱导涡对相邻叶片载荷的影响使得叶尖泄漏涡发生周期性摆动；在+1.7°攻角下，泄漏涡破碎会导致反流涡的形成，反流涡的输运会给叶片载荷和来流攻角带来非定常扰动，反过来又会作用于泄漏涡的破碎和反流涡的生成，最终表现为一种自维持的非定常流动现象。     

超宽带变频系统中的本振产生技术研究

本振源是超宽带变频系统中的核心部件，本文以超宽带上变频系统为例，介绍变频系统中本振信号的产生技术。本文所设计的超宽带变频系统，经过三次上变频，可将(0.8~2.8)GHz 的低频信号变换至（0.5~40）GHz。变频过程中需要一系列点频本振和一组宽带本振，基于PLL+DFS 的方法产生点频本振，基于DDS+DFS 的方式产生宽带本振。     

Stall flutter prediction based on multi-layer GRU neural network

The modeling of dynamic stall aerodynamics is essential to stall flutter, due to the flow separation in a large-amplitude pitching oscillation process. A newly neural network based Reduced Order Model (ROM) framework for predicting the aerodynamic forces of an airfoil undergoing large-amplitude pitching oscillation at various velocities is presented in this work. First, the dynamic stall aerodynamics is calculated by solving RANS equations and the transitional SST-γ model. Afterwards, the stall flutter bifurcation behavior is calculated by the above CFD solver coupled with structural dynamic equation. The critical flutter speed and limit-cycle oscillation amplitudes are consistent with those obtained by experiments. A newly multi-layer Gated Recurrent Unit (GRU) neural network based ROM is constructed to accelerate the calculation of aerodynamic forces. The training and validation process are carried out upon the unsteady aerodynamic data obtained by the proposed CFD method. The well-trained ROM is then coupled with the structure equation at a specific velocity, the Limit-Cycle Oscillation (LCO) of stall flutter under this flow condition is predicted precisely and more quickly. In order to predict both the critical flutter velocity and LCO amplitudes after bifurcation at different velocities, a new ROM with GRU neural network considering the variation of flow velocities is developed. The stall flutter results predicted by ROM agree well with the CFD ones at different velocities. Finally, a brief sensitivity analysis of two structural parameters of ROM is carried out. It infers the potential of the presented modeling method to depict the nonlinearity of dynamic stall and stall flutter phenomenon.