Study of ionospheric D region changes during solar flares using MF radar measurements

During solar flares, the X-ray radiation suddenly increases, resulting in an increase in the electron density of the atmospheric D region and a strong absorption of short-wave radio waves. Based on Langfang medium frequency (MF) radar, this paper analyzed the variation characteristics of D region in the lower ionosphere from 62 km to 82 km. The analysis focused on multiple C-level and M-level solar flare events before and after the large-scale flare event at 11:53 (UT) on September 6, 2017. The results show that it is difficult to detect the electron density over 70 km in Langfang during solar flares, but the electron density value can be obtained as low as 62 km, and the stronger the flare intensity, the lower the detectable electron density height. Besides, the equal electron density height, the received power of X and O waves will also be significantly reduced during the flares, and the reduction of equal electron density height has a weak linear relationship with flare intensity.     

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.     

重型燃气轮机高雷诺数CDA叶型转捩特性数值计算

为研究重型燃气轮机的压气机叶片在高雷诺数工况下的气动性能,基于Gamma-Theta转捩模型的雷诺时均方程对某可 控扩散叶型进行了数值计算。通过对比不控制马赫数与控制马赫数,分析高雷诺数对可控扩散叶型气动性能及转捩特性的影响。 结果表明：在不控制马赫数条件下,在零攻角时,雷诺数从7×10 5 增大为9×10 5 ,总压损失增加了约391.95%;在高雷诺数工况下随 着雷诺数的增大,叶片流动损失不断增大,叶片可用攻角范围减小,同时在叶片吸力面出现激波,干扰转捩的产生。在控制马赫数 条件下,当Ma=0.6时,在零攻角工况下,雷诺数从8.2×10 5 增大为1×10 7 ,总压损失减小了约38.98%,吸力面转捩起始点从4.78%弦 长处前移至1.11%弦长处;在高雷诺数工况下,叶片流动损失随着雷诺数的增大不断减小,吸力面转捩位置前移。     

带连续爆震加力燃烧室的涡轮发动机循环及推进性能研究

为进一步提升现有涡轮喷气发动机推进性能,可以采用连续爆震加力燃烧室,针对此,本文首先建立考虑了三种耦合热力过程的连续爆震燃烧室热力过程分析模型,通过与传统涡轮发动机性能分析模型相耦合,分析了带连续爆震加力燃烧的涡轮发动机推进性能及加力燃烧室部件特性。结果表明,由于连续爆震燃烧室具有自增压特性,当将其替代传统加力燃烧室可以显著提升加力时涡轮发动机性能;但另一方面,作为加力燃烧室,由于涡轮后气流温度过高,导致连续爆震加力燃烧室增压比的降低,通过对发动机循环参数的选择可以得到改善;同时,连续爆震加力燃烧室部件特性还受到燃烧室进气损失、反应物填充速度及反应物提前燃烧比例影响。     

质量体系保持与改进的探讨

质量体系认证取证后,如何保持和改进质量体系,６１３研究所结合自身工作实践,总结出的经验是：要从思想、组织、法规上继续加强对质量体系的改进;加大内部质量审核力度;实施全方位监督,推进各部门质量职能的落实;使ＴＱＭ成为质量体系改进的补充;引入新的质量管理方法;一把手的重视是保持质量体系正常运行和改进的关键等６个方面做好工作。     

进气道温度畸变问题的研究

重点研究稳态温度畸变对发动机稳定工作的影响。温度畸变分为周向温度畸变和径向温度畸变两种情况。温度畸变将使发动机喘振裕度降低。情况严重时可使发动机工作不稳定,或发动机熄火,从而危及飞行安全。本文半给出进气道温度畸变和稳定性因子的确定方法,作为进气道／发动机匹配研究的基础。     

空腔流激振荡的简化模型分析及振荡频率预估

本文由矩形空腔后缘声振动反馈激励腔口自由剪切层不稳定波的观点出发,把空腔流动振荡问题构造成一个关于空腔内外扰动波的非齐次边值问题,应用Ｆｏｕｒｉｅｒ－Ｌａｐｌａｃｅ变换技术求解,可以预估振荡频率,对Ｌ／Ａ＝Ａ亚声速空腔流动的预估结果与实验符合很好,揭示了此类空腔流动振荡的机理。     

外测系统突发性故障的诊断方法研究

外测系统突发性故障的检测与诊断在航天测控中有十分重要的意义。基于动态测量数据的容错处理技术, 建立了三组实用的过程故障诊断方法： 无须建模的容错平滑器方法; 基于模型拟合的容错辨识方法; 基于状态空间模型的有界影响滤波方法。这些方法既可用于对测控网跟踪质量的事后分析也可用于（准） 实时在线处理。仿真计算结果显示, 这些方法不但能够以１００％ 的准确率检测出脉冲型故障, 还可快速有效地检测出任何形式的关联型故障, 准确率达９８％以上。     

干涉SAR图像的降噪方法及水平地形效应消除

考察不同滤波器抑制干涉SAR(Synthetic Aperture Radar)图像噪声的效果.为有效地使用低通滤波处理,首先对原始干涉图像进行水平地形效应消除,保证图像信号频率的中心在零频处,降低由干涉SAR系统几何结构引起的信号频率偏移对滤波效果的影响.同时水平地形效应消除后的干涉SAR相位图可直观地反映地形的拓扑结构.实际数据处理结果证明本文提出的水平地形效应消除算法及滤波算法的可行性及有效性.