综合运输中理想运力分配模型

本文对综合运输中各种运输方式的理想运力进行了理论上的探讨,希望能引起交通运输的主管部门的重视,并在实践中积极地实践,从而来检验理论的正确性.     

宽带无线接入技术

介绍了两种宽带无线接入技术：本地多点分配业务(LMDS)和自由空间光通信(FSOC)。它们各具特色。前者将新兴的LMDS技术引入无线接入网,而后者是实现无线宽带接入的另一种途径。     

自主火星探测高集成离子与中性粒子分析仪

小型化、高集成化是深空探测载荷发展的主要趋势。在我国自主火星探测计划中,设计了一种高集成化的火星离子与中性粒子分析仪。采用从传感器到电子学进行最大限度共用的设计思路,在一台仪器中实现对离子和能量中性原子进行能量、方向和成分的探测,大大降低了仪器对卫星平台的资源需求。仪器采取静电分析进行离子的方向和能量测量、采取飞行时间方法进行离子成分的测量。中性原子采用电离板电离成带电离子,后端的能量测量和成分测量与离子相同。鉴定件样机已经完成了初步的测试定标,结果表明其满足设计要求。     

仿生光磁导航技术发展研究综述

仿生导航是在仿生技术基础上发展起来的新型导航技术方法,该方法融合了仿生技术的优点,因其抗干扰性强、适应范围广的特点,迎来了研究的热潮。从仿生光流导航、仿生偏振光导航、仿生类脑导航和仿生地磁导航四个角度对近年来大量的相关文献进行了综合性地整理和分析,阐述了其导航原理、发展现状和动态,对其未来的发展前景进行了展望,指出了限制现有技术的难点和瓶颈,对未来仿生导航技术的发展提供了参考,有一定的指导作用。     

基于星体边缘和轨道投影的光学自主导航算法

针对光学导航中存在的通过星体（球体）图像部分边缘点拟合椭圆参数计算轨道参数产生中间误差的问题,提出利用边缘点映射轨道参数的直接投影模型,避免拟合椭圆参数的方法。在小孔成像模型基础上,建立了边缘点与轨道参数的直接投影数学模型,对其映射过程进行了理论推导,利用列文伯格-马夸尔特迭代算法进行求解轨道参数。用实际探测器以及镜头参数进行数值仿真验证,结果表明：该方法在相同边缘点的条件下,轨道精度可以达到5‰。与传统方法相比,这种方法避免了椭圆的拟合过程,减少了引入中间误差过程。     

SiC/CVD SiC复合涂层的抗氧化及抗热震性能研究

为了提高C/SiC复合材料耐高温性能,采用泥浆浸渍裂解与真空化学气相沉积(CVD)在材料表面制备了SiC/CVD SiC复合涂层,通过XRD、SEM分析了涂层组成与结构;研究了复合涂层的高温抗氧化(700～1 500℃)和抗热震性能。结果表明,泥浆浸渍法制备的SiC涂层具有一定的封孔效果,可使材料开孔率下降,但高温抗氧化效果并不佳,1 200℃氧化10 min后材料弯曲强度保留率下降明显仅有86%。CVD SiC涂层结构致密,与SiC封孔涂层结合较好,在700～1 500℃具有较好的抗氧化效果,随着氧化温度的升高,氧化后涂层完好,表面O元素逐渐增加,材料失重率缓慢增加但不大于0.5%,且材料性能并未下降。涂层材料在1 200℃-10 min短时热震5次后材料弯曲强度保留率仍有95%以上,且未出现开裂、剥落等热震损伤。在1 200℃-30 min长时热震10次后,涂层材料基本被完全氧化,材料失去保护作用,弯曲强度下降至90%左右。     

Using TensorFlow-based Neural Network to estimate GNSS single frequency ionospheric delay (IONONet)

In the last 20?years, and in particular in the last decade, the availability of propagation data for GNSS has increased substantially. In this sense, the ionosphere has been sounded with a large number of receivers that provide an enormous amount of ionospheric data. Moreover, the maturity of the models has also been increased in the same period of time. As an example, IGS has ionospheric maps from GNSS data back to 1998, which would allow for the correlation of these data with other quantities relevant for the user and space weather (such as Solar Flux and Kp). These large datasets would account for almost half a billion points to be analyzed. With the advent and explosion of Big Data algorithms to analyze large databases and find correlations with different kinds of data, and the availability of open source code libraries (for example, the TensorFlow libraries from Google that are used in this paper), the possibility of merging these two worlds has been widely opened. In this paper, a proof of concept for a single frequency correction algorithm based in GNSS GIM vTEC and Fully Connected Neural Networks is provided. Different Neural Network architectures have been tested, including shallow (one hidden layer) and deep (up to five hidden layers) Neural Network models. The error in training data of such models ranges from 50% to 1% depending on the architecture used. Moreover, it is shown that by adjusting a Neural Network with data from 2005 to 2009 but tested with data from 2016 to 2017, Neural Network models could be suitable for the forecast of vTEC for single frequency users. The results indicate that this kind of model can be used in combination with the Galileo Signal-in-Space (SiS) NeQuick G parameters. This combination provides a broadcast model with equivalent performances to NeQuick G and better than GPS ICA for the years 2016 and 2017, showing a 3D position Root Mean Squared (RMS) error of approximately 2?m.     

Ionospheric TEC disturbances over China during the strong geomagnetic storm in September 2017

From September 7 to 8, 2017, a G4-level strong geomagnetic storm occurred, which seriously impacted on the Earth’s ionosphere. In this work, the global ionospheric maps released by Chinese Academy of Sciences are used to investigate the ionospheric responses over China and its adjacent regions during the strong storm. The prominent TEC enhancements, which mainly associated with the neutral wind and eastward prompt penetration electric field, are observed at equatorial ionization anomaly crests during the main phase of the storm on 8 September 2017. Compared with those on 8 September, the TEC enhancements move to lower-latitude regions during the recovery phase on 9 September. A moderate storm occurred well before the start of the strong storm causes similar middle-latitude TEC enhancements on 7 September. However, the weak TEC depletion is observed at middle and low latitude on 9–10 September, which could be associated with the prevailing westward disturbance electric field or storm-time neural composition changes. In addition, the storm-time RMS and STD values of the ionospheric TEC grids over China increase significantly due to the major geomagnetic storm. The maximum of the RMS reaches 12.0 TECU, while the maximum of the STD reaches 8.3 TECU at ~04UT on 8 September.     

Establishment of atmospheric weighted mean temperature model in the polar regions

Due to the special geographical location and extreme climate environment, the polar regions (Antarctic and Arctic) have an important impact on global climate change. Atmospheric weighted mean temperature (Tm) is a crucial parameter in the retrieval of precipitable water vapor (PWV) from the zenith wet delay (ZWD) of ground-based Global Navigation Satellite System (GNSS) signal propagation. In this paper, the correlation between weighted mean temperature and surface temperature (Ts) is studied firstly. It is shown that the correlation coefficients between Tm and Ts are 0.93 in the Antarctic and 0.94 in the Arctic. The linear regression Tm model and quadratic function Tm model of the Antarctic and the Arctic are established respectively using the radiosonde profiles of 12 stations in the Antarctic and 58 stations in the Arctic from 2008 to 2015. The accuracies of the linear regression Tm model, the quadratic function Tm model and GPT2w Tm model which is a state-of-the-art global Tm model are verified using the radiosonde profiles from 2016 to 2018 in the Antarctic and Arctic. Root Mean Square (RMS) errors of the linear regression Tm model, the quadratic function Tm model and GPT2w Tm model in the Antarctic are 3.07 K, 2.87 K and 4.32 K respectively, and those in the Arctic are 3.53 K, 3.38 K and 4.82 K, which indicates that the quadratic function Tm model has a higher accuracy compared to linear regression Tm model, and the accuracies of the two regional Tm models are better than that of GPT2w Tm model in the polar regions. In order to better evaluate the accuracy of Tm in the PWV retrieval, the PWV values of radiosondes are used for comparisons as the reference value. The RMS errors of PWV derived from the two Tm models are similar for 1.28 mm in the Antarctic and 1 mm in the Arctic respectively. In addition, the spatial and temporal variation characteristics of Tm are analyzed in the polar regions by spectral analysis of Tm data using fast Fourier transform. The results show that the Tm has obvious seasonality and annual periodicity in the polar regions, and the maximum difference between warm season and cold season is about 63 K. After comparing and analyzing the influences of latitude, longitude and elevation on the Tm in the polar regions, it is found that latitude and elevation have a greater influence on the Tm than the longitude. As the latitude and elevation increase, the Tm decreases, and vice versa in the polar regions.     

Cutting path-dependent machinability of SiCp/Al composite under multi-step ultra-precision diamond cutting

Particle-tool interactions, which govern the synergetic deformation of SiC particle reinforced Al matrix composites under mechanical machining, strongly depend on the geometry of particle position residing on cutting path. In the present work, we investigate the influence of cutting path on the machinability of a SiCp/Al composite in multi-step ultra-precision diamond cutting by combining finite element simulations with experimental observations and characterization. Be consistent with experimentally characterized microstructures, the simulated SiCp/Al composite is considered to be composed of randomly distributed polygonally-shaped SiC particles with a volume fraction of 25vol%. A multi-step cutting strategy with depths of cut ranging from 2 to 10 μm is adopted to achieve an ultimate depth of cut of 10 μm. Intrinsic material parameters and extrinsic cutting conditions utilized in finite element simulations of SiCp/Al cutting are consistent with those used in corresponding experiments. Simulation results reveal different particle-tool interactions and failure modes of SiC particles, as well as their correlations with machining force evolution, residual stress distribution and machined surface topography. A detailed comparison between numerical simulation results and experimental data of multi-step diamond cutting of SiCp/Al composite reveals a substantial impact of the number of cutting steps on particle-tool interactions and machined surface quality. These findings provide guidelines for achieving high surface finish of SiCp/Al composites by ultra-precision diamond cutting.