翼面隐身结构在飞航导弹模型上的数值仿真研究

隐身结构是指由蒙皮和多种内部材料组成的、能满足承载要求、并具有明显降低雷达散射截面的结构。目的是探讨在常规布局飞航导弹上采用隐身结构的效果。以某常规布局飞航导弹模型为背景，设计出两种翼面隐身结构方案，并将这两种翼面隐身结构方案分别应用于飞航导弹模型的弹翼。应用时域有限差分法（FD-TD法）建立了飞航导弹模型电磁散射数值模型。通过数值仿真手段，计算、比较和分析了含有翼面隐身结构的飞航导弹和普通全金属飞航导弹的RCS值。数值仿真结果显示，与普通飞航导弹相比，这两种翼面隐身结构在许多方位上均能有效降低飞航导弹的RCS值。     

非线性能量阱对飞轮振动抑制效果的实验研究

利用薄片金属梁作为非线性刚度元件,构建一种非线性能量阱。为了验证非线性能量阱对飞轮振动特性的抑制效果,搭建地面飞轮测试系统。分别采用力锤敲击和飞轮以恒定转速运行的方法施加不同载荷,对安装非线性能量阱前后测试系统各典型位置的振动响应进行对比研究。利用实测数据,采用傅里叶变换方法将动态响应信息分别在时间域和频率域内展开。研究表明：力锤敲击产生的冲击载荷和飞轮以恒定转速运行产生的稳态载荷均可以激发非线性能量阱定向能量传输;受非线性能量阱的影响,柔性支架设备安装面和飞轮安装面振动响应得到有效抑制。但是,由于非线性能量阱阻尼和吸振子质量较小,不同程度削弱了其振动抑制效果。     

复合材料格栅圆柱结构优化设计

复合材料格栅圆柱结构是由连续纤维缠绕的斜向和环向肋组成的结构.介绍了一种轴压作用下复合材料格栅圆柱结构的设计方法,该模型是在满足格栅结构整体屈曲要求、斜向肋承受压缩强度要求以及2个交叉点间肋段的局部屈曲3个约束条件的情况下,通过引入格栅结构整体屈曲、局部屈曲及压缩强度安全系数,并经过对数学模型的变换处理,使得格栅结构的结构重量最小,得到格栅结构的设计参数.该方法在格栅结构的设计与优化中非常有效.     

Investigation on the interface damage in drilling low-stiffness CFRP/Ti stacks

Carbon fiber reinforced plastic and titanium alloy (CFRP/Ti) stacks have been widely used as aerospace structures because of their excellent combination of physical properties. Interface damage caused by interface gaps, significantly different from that of metal/metal stacks, is a common problem in the through-hole drilling of CFRP/Ti stacks with low stiffness. In this study, a force–deformation coupling model was developed to further examine the formation mechanism and the control method of interface damage. Firstly, the coupling model was built considering the interaction between the thrust force and the deformation. To solve this model, a numerical method was proposed in which specific cutting coefficients were calibrated using only the thrust force of rigid stacks. Secondly, drilling experiments were performed with different feed rates and bending stiffness. Experimental results indicate that interface damage mainly includes interlayer chips and surface damage of CFRP layers. The surface damage, which is irreparable, is caused by the rotary extension of metal chips along the interlayer gap. Thirdly, variations of the interface gap were calculated with the coupling model that had been verified by measured thrust forces. The damage area was found to have a linear dependence relation with the interlayer gap. However, in conditions of large gap sizes, the interface damage areas increased with the interlayer gap at high feed rates, while decreasing slightly at low feed rates. This phenomenon was satisfactorily explained by the presented model. Finally, a method was proposed to determine the appropriate pressure exceeding which no interlayer damage will occur. Additional drilling experiments proved the method effective. This study leads to further understanding of the forming mechanism of interlayer damage and of selecting appropriate parameters in drilling low-stiffness composite/metal stacks.     

Classification of solar wind structures and intense geomagnetic storm alarms with self-organizing maps

Intense geomagnetic storms (D_st < −100 nT) usually occur when a large interplanetary duskward-electric field (with Ey > 5 mV m⁻¹) lasts for more than 3 h. In this article, a self-organizing map (SOM) neural network is used to recognize different patterns in the temporal variation of hourly averaged Ey data and to predict intense storms. The input parameters of SOM are the hourly averaged Ey data over 3 h. The output layer of the SOM has a total of 400 neurons. The hourly Ey data are calculated from solar wind data, which are provided by NSSDC OMNIWeb and ACE spacecraft and contain information on 143 intense storms and a fair number of moderate storms, weak storms and quiet periods between September 3, 1966 and June 30, 2002. Our results show that SOM is able to classify solar wind structures and therefore to give timely intense storm alarms. In our SOM, 21 neurons out of 400 are identified to be closely associated with the intense storms and they successfully predict 134 intense storms out of the 143 ones selected. In particular, there are 14 neurons for which, if one or more of them are present, the occurrence probability of intense storms is about 90%. In addition, several of these 14 neurons can predict big magnetic storm (D_st  −180 nT). In summary, our method achieves high accuracy in predicting intense geomagnetic storms and could be applied in space environment prediction.     

RAM技术在隐身飞行器薄型翼设计中的应用

雷达吸波材料（ＲＡＭ） 技术是隐身技术中的重要技术之一，并且在隐身武器，尤其是隐身飞行器系统设计中得到广泛应用。本文首先简要阐述了雷达吸波材料吸波的基本原理，然后以隐身导弹薄型弹翼的低雷达散射截面（ＲＣＳ） 设计为例，探讨了涂覆型雷达吸波材料涂覆方案的设计思想和方法，最后给出一部分隐身飞行器薄型翼面低ＲＣＳ设计的样例。     

智能结构有限元模型的建立及静态形状控制

本文建立了含有分布压电传感元件和执行元件的板结构的有限元模型，提出了一种新的具有电自由度板弯曲单元，用于分析含有分布传感元件和执行元件的板结构。以此为基础，提出了智能结构静态形状控制的一般方法，即被动控制方法和主动控制方法。最后，提供了两个数值示例，说明本文提出的方法的应用。     

基于模糊神经网络的涡结构识别方法研究

研究气动光学传输效应产生的机理是红外成像末制导的共性基础技术之一,基于涡结构对光学传输效应进行建模是一种非常有效的方法,而涡结构的识别是其必要前提。文中提出一种新的涡结构识别方法,把折射率场经小波变换后的系数矩阵等效为具有一定纹理结构的图像,计算图像的共生矩阵及其统计量,由于涡结构模式复杂,特征量较多,设计了等价结构的模糊神经网络进行涡结构识别。与小波分解后直接提取特征量的识别方法相比,本文的方法从空、频角度更加准确全面地表征湍流涡结构模式,计算机仿真结果表明该方法优于神经网络的识别效率。     

基于压电智能结构飞机座舱振动噪声主动控制研究

针对在某些特殊情况下飞机座盘舱振动、噪声过大的实际情况，本文对其进行了振动、噪声抑制研究。以某飞机座舱模型为研究对象，利用压电智能结构，并结合振动主动控制方法和LMS自适应滤波算法，实现了一套完整的飞机座舱模型振动、噪声主动控制系统。最后本文给出实验结果，证明了此方法对飞机座舱模型振动、噪声抑制的有效性。     

结构随机跳变系统的条件滤波新方法

提出了不完全状态及控制信息的结构随机跳变系统的滤波方法，解决了结构随机跳变系统在控制入与状态的观测互为相关情况下，系统的状态以及不确知的控制输入的最优估计问题。并以线性高斯情况为例进行了数字仿真，证明了该方法的有效性。