除冰液对道面混凝土的影响及保护剂防护效果

通过冻融和化学侵蚀试验，研究了NW-056A机场道面除冰液对道面水混混凝土耐久性的影响以及在道面除冰液环境下两种新型混凝土保护剂的防护效果。结果表明：①混凝土在道面除冰液中冻融后表面无明显剥落现象，相对动弹模损失率比在水中小很多，道面除冰液延缓了混凝土的冻融破坏：②混凝土在道面除冰液常温浸泡下表面无剥蚀现象，但强度比在水中降低很多，因此存在化学腐蚀．且主要表现为对混凝土内部结构的缓慢损伤；（④两种新型混凝土保护剂均对预防混凝土的冻融破坏以及除冰液环境下的腐蚀破坏起到一定作用，涂刷混凝土保护剂是提高混凝土道面耐久性的有效方法。     

三种时频分析在复合材料无损检测中的应用

随着复合材料的广泛应用和现代信号处理技术的发展,时频分析方法已广泛应用于各类复合材料的损伤检测。将短时傅立叶变换、小波变换和黄氏变换三种时频分析技术经过Matlab编程,结合Lamb波应用于玻璃纤维增强的复合材料层合板的无损检测,并对三种时频结果进行比较与分析。结果表明：上述三种时频分析方法都能进行复合材料的损伤判定,但黄氏变换方法的分析精度更高。     

A novel signal processing approach for LEO space debris based on a fence-type space surveillance radar system

The increase in space debris can seriously threaten regular activities in the Low Earth Orbit (LEO) environment. Therefore, it is necessary to develop robust, efficient and reliable techniques to understand the potential motions of the LEO debris. In this paper, we propose a novel signal processing approach to detect and estimate the motions of LEO space debris that is based on a fence-type space surveillance radar system. Because of the sparse distribution of the orbiting debris through the fence in our observations, we formulate the signal detection and the motion parameter estimation as a sparse signal reconstruction problem with respect to an over-complete dictionary. Moreover, we propose a new scheme to reduce the size of the original over-complete dictionary without the loss of the important information. This new scheme is based on a careful analysis of the relations between the acceleration and the directions of arrival for the corresponding LEO space debris. Our simulation results show that the proposed approach can achieve extremely good performance in terms of the accuracy for detection and estimation. Furthermore, our simulation results demonstrate the robustness of the approach in scenarios with a low Signal-to-Noise Ratio (SNR) and the super-resolution properties. We hope our signal processing approach can stimulate further work on monitoring LEO space debris.     

基于运动特征和中心环绕模型的空对地车辆检测方法

平台的移动基于空基车辆检测以其视野广、速度快、适应性强等优点,近些年成为了智能交通和航空应急救援等领域内的一个热点课题。然而,在城市背景的交通环境下,由于复杂背景造成的干扰、车辆运动的不规律性以及光照等条件变化带来的噪声,有效地获取运动对象特征是空对地视觉监视方法面临的一个难题。为有效解决这一问题,提出了结合运动特征的中心环绕模型进行空对地车辆检测的算法。现有的空对地车辆检测算法,大多是针对固定的摄像头的情况下,基于运动特征进行检测,例如光流法、背景差法等。这些方法在对高速公路等背景相对较为简单的环境下获得了良好的检测结果,但当面对城市复杂背景条件或摄像头自身运动的状况时,难以有效地检测出运动目标。而在对颜色、强度等静态特征进行显著度分析的基础上,加入了对运动特征的分析,可以解决在复杂环境下准确提取车辆目标有效特征的问题。试验表明,相较于基于图像相减的检测算法和单一显著度算法,该算法可以获得更高的检测率与更低的误报率。     

飞机连接结构防护涂层老化损伤量化评估方法

飞机连接结构防护涂层体系的老化过程具有多属性、模糊性和动态性的特点,综合量化评估防护涂层体系老化损伤程度对保障飞机连接结构的功能和使用安全具有重要作用。本文分析了现阶段的涂层老化损伤评级方法,提出了用等级描述老化损伤程度的量化评估技术途径,建立了基于模糊综合评判的量化评估方法。在国标、ISO和ASTM标准给出的单项评级方法的基础上提出了适用于飞机连接结构防护涂层体系老化损伤的单项评级方法,确定了因素集和评价集。采用专家打分法统计得到了各因素的权重分配,确定了权重集。选用正态分布隶属函数来确定评价矩阵,给出了隶属函数参数的计算方法和结果,建立了评价矩阵的确定方法。进行了某型飞机机翼上下表面连接部位模拟试件的加速腐蚀试验,采用本文提出的量化评估方法对防护涂层体系的老化损伤进行了评估,确定了老化损伤等级,评估结果与试验结果相符,与腐蚀动力学规律一致,从而验证了本文提出的方法。     

STATIC AND FATIGUE BEHAVIOR OF IMPACTED AS4/PEEK THERMOPLASTIC COMPOSITES UNDER COMPRESSION LOAD

Static and fatigue tests under compression load were made on impacted AS4/PEEK and T300/913C graphite/epoxy with ［45/90/-45/0］_5S stacking sequence. The comparison of the damage tolerance assessment for thermosetting and thermoplastic composites shows that thermoplastics are more damage tolerant under compression. Impacted thermoplastic composites have excellent compression-compression fatigue behavior. The damage growth life is only a few percent of their total fatigue life and no regular damage growth can be found. Some design principles for thermosetting composite structures may still be used.     

BP网络在信号检测中的应用

本文对ＢＰ网络在信号的检测和处理方面的性能进行了分析，对该网络在信号检测中的应用进行了讨论并给出了计算机仿真结果。     

复合材料机身壁板的强度分析与试验验证

复合材料在大型客机机身主承力结构应用是近年来的发展趋势，通过分析与大型壁板试验结合的方式研究了复合材料机身壁板的静力承载能力，以及疲劳与损伤容限特性。采用理论公式、半经验公式、有限元模态分析研究了蒙皮的屈曲载荷、壁板的承载能力。依靠创新的机身壁板多轴载荷试验系统，模拟机身壁板的实际受载情况，实现充压载荷、拉伸/压缩、剪切载荷的独立施加与组合施加。通过静力试验验证蒙皮屈曲的工程及有限元分析方法和壁板的剩余强度承载分析方法。引入预埋缺陷、BVID、VID冲击损伤，通过试验研究了损伤对应变分布的影响，并通过疲劳、损伤容限试验，验证了壁板的设计以及损伤的无扩展特性。     

An Adaptive Network-based Fuzzy Inference System for the detection of thermal and TEC anomalies around the time of the Varzeghan,Iran, (Mw = 6.4) earthquake of 11 August 2012

Anomaly detection is extremely important for forecasting the date, location and magnitude of an impending earthquake. In this paper, an Adaptive Network-based Fuzzy Inference System (ANFIS) has been proposed to detect the thermal and Total Electron Content (TEC) anomalies around the time of the Varzeghan, Iran, (M_w = 6.4) earthquake jolted in 11 August 2012 NW Iran. ANFIS is the famous hybrid neuro-fuzzy network for modeling the non-linear complex systems. In this study, also the detected thermal and TEC anomalies using the proposed method are compared to the results dealing with the observed anomalies by applying the classical and intelligent methods including Interquartile, Auto-Regressive Integrated Moving Average (ARIMA), Artificial Neural Network (ANN) and Support Vector Machine (SVM) methods. The duration of the dataset which is comprised from Aqua-MODIS Land Surface Temperature (LST) night-time snapshot images and also Global Ionospheric Maps (GIM), is 62 days. It can be shown that, if the difference between the predicted value using the ANFIS method and the observed value, exceeds the pre-defined threshold value, then the observed precursor value in the absence of non seismic effective parameters could be regarded as precursory anomaly. For two precursors of LST and TEC, the ANFIS method shows very good agreement with the other implemented classical and intelligent methods and this indicates that ANFIS is capable of detecting earthquake anomalies. The applied methods detected anomalous occurrences 1 and 2 days before the earthquake. This paper indicates that the detection of the thermal and TEC anomalies derive their credibility from the overall efficiencies and potentialities of the five integrated methods.     

X-47B无人空战系统及其对抗途径分析

X-47B型无人空战系统是当今最先进的无人机系统之一,势必给现有电子对抗技术及装备带来严重冲击.从其任务使命、系统功能、特色技术入手,分析对其实施电子对抗的技术难点和可能的薄弱环节,探讨对X-47B进行侦察探测和电子对抗的技术途径.