A swept fin-induced flow field with different height mounting gaps

In order to apply the air fin successfully and ensure the maneuverability of hypersonic vehicle, a key problem to be studied urgently is the heat flux brought by the fin mounting gap. The appearance of mounting gap and fin shaft can induce many complex flow structures which need more attentions to be investigated. Under Ma 6, Nano-tracer-based Planar Laser Scattering (NPLS) and Temperature Sensitive Paints (TSP) were applied to visualize and measure transient flow structures and heat flux distribution of a swept fin-induced flow field with different height mounting gaps. Complementarily, Reynolds-averaged N-S equations were solved with k-ω SST turbulent model. The heat flux distribution results of numerical simulation and TSP observed the change of high heat flux region with different mounting gap, both in position and magnitude. The streamlines based on Computational Fluid Dynamics (CFD) and flow visualization results obtained by NPLS revealed the cause of high heat flux region. The high heat flux region in this flow field is mainly related to the reattachment of vortex and flow stagnation. The increase of gap height can lead to stronger gap overflow and shaft-induced horseshoe vortex, which are source of the high heat flux around the fin. The case with the highest mounting gap (4 mm) en-counters the most severe aerodynamic heating, both on the surface of fin and plate. Thus, under the premise of ensuring the flexibility of the fin, the gap should be set as small as possible.     

Analysis of the dynamic behavior of structures using the high-rate GNSS-PPP method combined with a wavelet-neural model: Numerical simulation and experimental tests

Recently, the high rate global navigation satellite system-precise point positioning (GNSS-PPP) technique has been used to detect the dynamic behavior of structures. This study aimed to increase the accuracy of the extraction oscillation properties of structural movements based on the high-rate (10?Hz) GNSS-PPP monitoring technique. A developmental model based on the combination of wavelet package transformation (WPT) de-noising and neural network prediction (NN) was proposed to improve the dynamic behavior of structures for GNSS-PPP method. A complicated numerical simulation involving highly noisy data and 13 experimental cases with different loads were utilized to confirm the efficiency of the proposed model design and the monitoring technique in detecting the dynamic behavior of structures. The results revealed that, when combined with the proposed model, GNSS-PPP method can be used to accurately detect the dynamic behavior of engineering structures as an alternative to relative GNSS method.     

某型飞机前起落架摆振性能研究

阐述了摆振分析基本思路,分析了轮胎充气压力对某型飞机前起落架摆振特性的影响,并进行了摆振响应分析和摆振试验验证。研究表明:当轮胎充气压力降低时,摆振临界阻尼减小,有利于防摆;当轮胎充气压力增大,摆振临界阻尼增大,不利于防摆;摆振响应分析试验表明前起落架满足摆振稳定性要求。     

电子信息系统复杂电磁环境效应研究初探

电子信息系统复杂电磁环境效应是指复杂电磁环境对电子信息系统的影响,是一个涉及社会和国防多个应用领域的重要问题.从电子信息系统复杂电磁环境效应概念出发,首先与电磁环境效应概念进行了比较分析,继而将研究分解为复杂电磁环境特性与模拟、复杂电磁环境综合效应机理和电子信息系统效能评估理论三个方面,最后给出了这三个方面的具体研究思路,并探讨了开展研究的一般性方法.     

在中面载荷作用下正交各向异性矩形板后屈曲行为分析

本文利用摄动法和广义傅氏级数法分析了在中面载荷作用下正交各向异性矩形板后屈曲行为,对几种典型的纤维增强环氧复合材料矩形板后屈曲行为给出了结果,可供工程设计应用参考。     

基于低比特量化神经网络的红外目标识别方法及其FPGA实现

红外目标识别系统成为航空航天、无人驾驶等军事和民用领域中一项至关重要的技术。红外目标识别算法是红外目标检测识别系统中的核心之一。传统红外目标识别技术往往依赖人为的特征选择,无法对复杂困难的红外目标实现高效、准确的识别。本文提出了训练中反量化与通道级量化相结合的量化策略,有效减小量化误差对网络模型性能的影响。实验结果表明:本文提出的低比特量化算法在红外数据集上有着优异的表现。在硬件部署方面,本文提出了更加高效的卷积计算单元,提高了硬件资源的利用率,同时也达到了更高的峰值性能。最终,在PYNQ-Z2嵌入式现场可编程门阵列(FPGA)上进行验证,系统在150 MHz的时钟频率下达到了90.6 GOP/s的峰值吞吐率,其功耗为2.5 W。     

基于天通卫星系统的天基测控技术

针对卫星测控资源紧缺的现状,为满足未来大规模卫星用户对测控资源的使用便利性这一需求,研究利用天通卫星进行近地低轨卫星测控服务的能力。天通作为高轨移动通信卫星系统,具有传输实时方便、服务安全可靠和综合效费比高等多方面的特点。首先,分析了天通卫星对不同倾角、轨道高度卫星的测控覆盖时长,以及对载人航天任务空间站和火箭进行测控的服务能力。然后,基于天通民用系统现有的系统架构,详细介绍了天通系统支持低轨测控的系统改造方案以及工作流程。最后,结合目前的技术发展趋势和天通卫星能力现状,描述了天通卫星在天基测控和低速中继两种任务场景中的应用前景。     

基于YOLO智能网络的红外弱小多目标检测技术

复杂背景下的红外弱小多目标检测是红外目标检测的难点,现有算法的稳健性难以满足实际弹载应用需求。针对弹载环境下的红外场景图像开展了基于典型深度学习网络模型的目标检测应用研究,提出一种基于YOLO(you only look once)网络的智能目标检测方法,通过高维特征学习表征和推理实现红外弱小多目标检测。采用传统的模板匹配算法和YOLO深度学习算法进行识别性能对比分析,验证了YOLO网络在红外弱小多目标检测方面的良好性能。实验结果表明:YOLO算法的检测概率可达92.2%,平均检测精度为0.844,与传统的模板匹配方法相比,YOLO具有明显的优势。     

一种求解细线瞬态散射的稳定算法

利用时间步进方法(MOT)求解脉冲电场照射下细线的电流响应分布,分析其后期稳定性。提出一种新的电流系数平均法,不仅可以改善前面时间步的电流值,而且能对当前时间步的电流值进行判断,并采取措施预防振荡,有效消除迭代计算的累积误差,改善后期不稳定性问题。数值仿真表明,新方法消除了引起后期振荡的高频分量,获得了稳定的电流响应分布。     

柔性印制膜在太阳电池阵的应用及热适应性试验研究

针对微小卫星太阳电池阵高体积比的功率需求,设计了带柔性印制电路（FPC）的太阳电池阵。该太阳电池阵将太阳电池、FPC与基板集成为一体,具有厚度薄、质量小等优点。通过热循环试验对其环境适应性进行考核,X射线检测结果表明,太阳电池阵上锡焊焊盘与覆铜层连接部位受热应力的影响较大,在长期高低温循环条件下存在锡焊焊盘与覆铜层断裂的风险。为此,给出提升太阳电池阵上FPC抗热形变能力的设计建议,以期为后续太阳电池阵设计提供参考。