舰载飞机自动着舰系统的研究

介绍了舰载飞机的自动着舰系统（包括了飞机的飞行控制系统，推力控制系统及航空母舰的导引系统），并指出只有精确地控制飞机的不滑轨迹，才能使飞机在航空母舰上安全降落，本文着得讨论俯仰指令型的纵向自动着舰系统的原理、结构及设计，并指出导引指令中对舰体运动的补偿。     

高空高速无人飞行器热控制系统设计

针对飞行时间短、速度和高度变化快、表面温度波动大的无人飞行器UAV(Unmanned Aerial Vehicles)热控制系统设计难题,提出了一种可解决实际工程问题的热分析计算方法.即把热天工况、冷天工况和标准天工况作为设计/试验工况;采用参考温度法、高超音速工程预测法或计算流体动力学CFD(Computational Fluid Dynamics)数值模拟法,确定了飞行器表面温度分布,并把其作为后续热分析数学模型的外边界条件;分析结构热容量对瞬态热载荷的影响,建立与之相应的边值问题方程,并采用有限差分法求解;根据高空高速飞行特点及瞬态热载荷值,确定仪器设备舱调温系统方案.     

基于连续覆盖特性分析的星座设计

研究了需要对地面目标进行连续覆盖的星座的设计问题．首先推导了对覆盖性能有重要影响的星间覆盖间隔时间和轨道面覆盖间隔时间的计算公式，通过算例针对不同配置的星座进行了计算，使用工程仿真软件STK验证了分析结果．通过理论分析、算例计算以及工程仿真为该类型星座设计提供了理论指导。     

利用MF雷达对耀斑期间电离层D区电子密度的观测研究

利用MF雷达观测资料对X级别耀斑爆发期间在66-80km高度之间的电子密度进行了研究，观测到了耀斑爆发期间电子密度的突然增加，在较低高度上的电子密度的时间变化趋势与耀斑的软X射线辐射通量相关．电子密度的变化强度依赖于具体的耀斑参数，有些耀斑引起的电子密度增加高达400cm^-3，有些仅为100cm^-3左右．但耀斑期间在这一高度区间增加的总电子含量增量仅占耀斑辐射引起的整个电离层总电子含量增量的千分之一左右．最后，利用恢复阶段电子密度的时间变化过程估算了1997年11月4日耀斑期间部分高度上的有效复合系数．     

基于参数化模型和遗传算法的复合材料加筋壁板结构选型优化研究

针对复合材料加筋壁板的结构优化选型问题,采用辅助层压板和添加极小弹性模量材料的复合材料加筋壁板有限元建模方法,应用PATRAN/NASTRAN的参数化建模功能和遗传算法相结合的复合材料加筋壁板的优化方法,对5种复合材料结构形式进行了从2000N/mm到6000N/mm压缩载荷下的结构优化分析。结果表明,当载荷小于4500N/mm时,最有效的加筋壁板结构型式为J型;当压缩载荷大于4500N/mm时,最有效的加筋壁板结构型式为I型。     

基于微型涡喷发动机热喷流的无源流体推力矢量喷管的控制规律

流体推力矢量喷管型面固定、活动部件少、结构重量轻，能够为高机动飞行器提供有效的飞行控制手段，但无源流体推力矢量喷管热喷流的偏转控制规律尚未完全掌握。为了推进无源流体推力矢量技术的实用化，本文设计研制了适用于微型涡喷发动机的耐高温喷管模型，对该喷管在微型涡喷发动机热喷流状态下的控制规律进行研究。利用非接触光学显示和测量手段——红外热成像拍摄和粒子图像测速（PIV）技术对主射流流动特性进行研究，获得流动矢量角随二次流控制阀门闭合度变化的控制规律；利用六分量盒式天平测力实验研究无源流体推力矢量喷管的力学特性，获得推力矢量角随二次流控制阀门闭合度变化的控制规律。研究结果表明：该构型喷管在微型涡喷发动机热喷流下主射流连续可控偏转，最大流动矢量角为-12.3°/12.3°，最大推力矢量角为-12.9°/12.8°，控制规律接近线性，不存在主射流偏转突跳问题。     

Mo M-PO/SBR Algorithm Based on Collaborative Platform and Mixed Model

For electromagnetic scattering of 3-D complex electrically large conducting targets,a new hybrid algorithm,Mo M-PO/SBR algorithm,is presented to realize the interaction of information between method of moment(Mo M)and physical optics(PO)/shooting and bouncing ray(SBR). In the algorithm,the COC file that based on the Huygens equivalent principle is introduced,and the conversion interface between the equivalent surface and the target is established. And then,the multi-task flow model presented in this paper is adopted to conduct CPU/graphics processing unit(GPU)tests of the algorithm under three modes,i.e.,MPI/Open MP,MPI/compute unified device architecture(CUDA) and multi-task programming model(MTPM). Numerical results are presented and compared with reference solutions in order to illustrate the accuracy and the efficiency of the proposed algorithm.     

教育生态学视野中的产教融合研究与实践

职业教育是与经济社会发展结合最为紧密的一种教育类型,产教融合、校企合作是当前及今后一个时期我国职业教育改革与发展的方向。从教育生态学理念出发,以协同创新平台搭建为基础,构建产教融合生态系统;以校企深度合作为手段,实现系统的运行发展;以互惠共赢为基点,实现系统的良性循环,试图为高职教育发展提供可借鉴的范式。     

An innovative study on low surface energy micronano coatings with multilevel structures for laminar flow design

Laminar flow design is one of the most effective ways to reduce the drag of a commercial aircraft by expanding the laminar flow region on the surface of the aircraft. As material science develops, the emergence of new materials such as low surface energy materials has offered new choices for laminar flow design of commercial aircraft. Different types of low surface energy micro-nano coatings are prepared to verify the effects on the boundary layer transition position and the drag of the airfoil through wind tunnel tests. The infrared thermal imaging technology is adopted for measuring the boundary layer transition, while the momentum integral approach is employed to measure the drag coefficient through a wake rake. Infrared thermal imaging results indicate that the coatings are capable of moving backward the boundary layer transition position at both a low velocity of Mach number 0.15 and a high velocity of Mach number 0.785. Results of the momentum integral approach demonstrate that the drag coefficients are reduced obviously within the cruising angle of attack range from 1° and 5° by introducing the low surface energy micro-nano coating technology.     

Exploiting global information in complex network repair processes

Robustness of complex networks has been studied for decades,with a particular focus on network attack.Research on network repair,on the other hand,has been conducted only very lately,given the even higher complexity and absence of an effective evaluation metric.A recently proposed network repair strategy is self-healing,which aims to repair networks for larger compo nents at a low cost only with local information.In this paper,we discuss the effectiveness and effi ciency of self-healing,which limits network repair to be a multi-objective optimization problem and makes it difficult to measure its optimality.This leads us to a new network repair evaluation metric.Since the time complexity of the computation is very high,we devise a greedy ranking strategy.Evaluations on both real-world and random networks show the effectiveness of our new metric and repair strategy.Our study contributes to optimal network repair algorithms and provides a gold standard for future studies on network repair.