中国重型运载火箭动力系统研究

分析了未来航天发展趋势,指出为实现载人登月和深空探测,发展重型运载火箭,研制大推力火箭发动机势在必行.提出了中国重型运载火箭主动力--_1500吨级液氧煤油发动机和200吨级液氧液氢发动机的总体方案,确定了发动机的主要参数,明确了发动机的关键技术,考虑了发动机的研制条件,进行了发动机研制策划.根据中国的技术水平和经济实...     

一种空间机械臂构造模块的研制

提出了通用二自由度空间模块（TODOM）的概念，并以通用TODOM作为空间机械臂的构造模块。TO—DOM由两个旋转模块及一个连接模块共三个基本模块组成。根据空间机械臂的具体构型需要，将TODOM的三个基本模块之间的机械接口进行专门设计，即可配置成确定构型的二自由度关节。由这样数个不同构型的二自由度关节可以组装出具有偶数个自由度的空间机器臂。采用一体化概念设计的TODOM减小了关节的质量与体积，提高了系统的可靠性。通过对由TODOM构成的一套二自由度关节进行的试验初步验证了TODOM设计概念的合理性及可行性。     

Ion dynamics associated with Alfven wave in the near-Earth magnetotail: Two-dimensional global hybrid simulation

Ion dynamics in the near-Earth magnetotail region is examined during periods of fast Earthward flow with a two-dimensional (2-D) global-scale hybrid simulation. The simulation shows that shear Alfven waves are generated at x ∼ −10R_E, where the strong earthward flow is arrested by the dipole field, and propagate along field lines from the equator to both southern and northern polar ionosphere. Non-gyrotropic ion velocity distributions occur where the large-amplitude Alfven waves are dominant. The simulation indicates that the Alfven waves are generated by interaction of the fast earthward flow with the stationary near-Earth plasma. Beam ions are found to be pitch-angle scattered and trapped in the wave field, leading to the non-gyrotropic ion distributions in the high-latitude plasma sheet boundary. In addition, significant particle heating and acceleration are found to occur behind the dipolarization front due to the effect of wave turbulence.     

具有锥结构的二人半无限零和对策与DEA模型C^2WY

文中主要讨论DEA模型与对策模型之间的等价关系。提出了具有锥结构形式的二人半无限零和对策模型,并利用具有锥结构形式的半无限规划理论,证明了DEA综合模型C~2WY与相应的具有锥结构形式的二人半无限零和对策模型之间(弱)等价性。     

A 2-D comparison of ionospheric convection derived from SuperDARN and DMSP measurements

Ion drift vectors measured by the DMSP satellites are compared with plasma convection vectors obtained by the SuperDARN HF radars through the standard Map Potential algorithm of Ruohoniemi and Baker [Ruohoniemi, M., Baker, K.B. Large-scale imaging of high-latitude convection with super dual auroral radar network HF radar observations. J. Geophys. Res. 103, 20797–20811, 1998]. Despite significant data spread, the agreement can be qualified as reasonable for a data set comprising of 149 satellite passes over the Northern Hemisphere at high latitudes. The slope of the best-fit line relating SuperDARN and DMSP velocity magnitudes is of the order of 0.3 with a tendency for the SuperDARN velocities to be smaller. The agreement between the azimuths of the ion drift and convection is better with the slope of the best-fit line being close to 1. It is shown that consistency between the radar and satellite measurements is much better if the SuperDARN line-of-sight velocities are compared with the DMSP cross-track ion drifts for events showing slow spatial and temporal variations of the convection. If areas of strong convection changes are included into comparison, the degree of agreement deteriorates drastically. This result implies that differences in the spatial and temporal resolutions of DMSP and SuperDARN measurements are crucial factors contributing to the observed discrepancies. In addition, some differences are introduced when the SuperDARN line-of-sight velocities are filtered and reprocessed into vectors with the application of a background convection model.     

基于应用识别的P2P蠕虫检测

对等网中基于漏洞传播的P2P蠕虫是严重的安全威胁.根据P2P蠕虫的传播特点,提出了一种P2P蠕虫检测方法PWD (P2P Worm Detection).PWD主要由基于应用识别技术的预处理和基于未知蠕虫检测技术的P2P蠕虫检测2部分组成,改进了干扰流量的识别和过滤规则,提出了P2P蠕虫检测规则,并引进博弈论的研究方法讨论了检测周期的选取问题.仿真结果和局域网环境下的实验结果都表明,PWD是检测P2P蠕虫和遏制其传播的有效方法.      

过氧化氢/煤油发动机试验中压差式孔板流量计的设计

论述了液体火箭发动机用过氧化氢作为推进剂进行试验的过程中流量测量可采用的方式。提出了压差式孔板流量测量和角接式取压结构在过氧化氢／煤油发动机试验中的应用技术。针对过氧化氢／煤油发动机试验中流量测量提出了研究需要解决的关键技术。     

Ti2AlC/TiB2/TiC复相陶瓷的制备及性能研究

采用SHS法合成了Ti_2Al C、TiB_2、TiC三相复合陶瓷粉体;应用SPS技术制备了Ti_2AlC/TiB_2/TiC块体复相陶瓷材料;采用XRD、SEM和EDS等手段对复相材料的相组成、微观形貌进行了分析。研究结果表明:在所制备的复相块体陶瓷中,Ti2Al C为基体相,TiB_2和TiC弥散分布于基体相中;复相块体陶瓷具有高的致密度,为99.6%;显微硬度平均为12.96 GPa;断裂韧性为45.28 MPa·m~(1/2),这为下一步研究其可加工性提供了实验依据。     

Modeling M(3000)F2 based on extreme learning machine

This paper presents an novel extreme learning machine (ELM)-based prediction model for the ionospheric propagation factor M(3000)F2 at Darwin station (12.4°S, 131.5°E; −44.5°dip) in Australia. The proposed ELM model is trained with hourly daily values of M(3000)F2 from the period 1998–2014 except 2001 and 2009. The hourly daily values of 2001 (high solar activity) and 2009 (low solar activity) are used for validating the prediction accuracy. The proposed ELM for modeling M(3000)F2 can achieve faster training process and similar testing accuracy compared with backward propagation neural network (BPNN). In addition, the performance of the ELM is verified by comparing the predicted values of M(3000)F2 with observed values and the international reference ionosphere (IRI −2016) model predicted values. Based on the error differences (the root mean square error (RMSE) and the M(3000)F2 percentage improvement values M(3000)F2_IMP(%)), the result demonstrates the effectiveness of the ELM model compared with the IRI-2016 model at hourly, daily, monthly, and yearly in high (2001) and low (2009) solar activity years. The ELM also shows good agreement with observations compared with the IRI during disturbed magnetic activity.     

Modified micro-mechanics based multiscale model for progressive failure prediction of 2D twill woven composites

To consider fiber random distribution at the microscale for the multiscale model based on the micro-mechanics failure (MMF) theory, clustering method is used for the extraction of amplification factors. As the clustering method is a kind of unsupervised machine learning method, the elements with similar mechanical behavior under external loading can be included in a cluster automatically at the microscale. With this modification, the fiber random distribution model can be used for multiscale damage analysis in the framework of MMF theory. To validate the modified multiscale analysis method, progressive damage analysis of a kind of 2D twill woven composites is conducted based on different microscale models. The stress values for microscale models with fiber hexagonal and random distribution patterns are compared first. Much higher stress concentration is generated in the fiber random distribution model due to the smaller inter-fiber distance especially under longitudinal shear loading. The obtained cluster distribution results exhibit the characters of the stress distribution in the two microscale models. Thereafter, tensile and compressive responses of the 2D twill woven composite are predicted with the modified multiscale analysis method and accuracy of the method is verified through comparison with published experimental results. From the simulation results, it can be found that the matrix damage initiation from the model based on the fiber random distribution model is premature compared with that from the model based on the fiber hexagonal distribution model. Besides, under tensile loading, the damage all initiates from the fill tows and propagates to the wrap tows. However, under compressive loading, the matrix damage initiates from the wrap tows in the model based on the fiber random distribution model.