载人航天过程中人的可靠性研究

从失误分析、理论研究及可靠性预测三方面详细分析了人的可靠性研究现状 ,在此基础上 ,指出其未来主要的发展方向与手段。最后 ,认为必须从人、机、环境三个方面进行综合考虑来提高航天员的可靠性。     

垂直度误差对复合材料单钉连接性能的影响

为揭示连接孔垂直度误差对航空复合材料连接性能的影响规律,对准各向同性碳纤维环氧树脂复合材料板进行了单钉单剪试验研究。以极限承载强度、弦刚度、2%偏移承载强度为指标研究连接孔的倾斜角度、倾斜方向以及螺栓扭矩对接头承载性能的影响规律。试验结果表明:当连接孔倾斜角度从0°增加到4°时,接头弦刚度增大10%~40%,极限承载强度下降9%~12%;连接孔倾斜方向对极限承载强度影响甚微,却可使接头弦刚度产生20%~30%的变化;增加螺栓扭矩可以有效提高极限承载强度,但对接头刚度无明显影响;连接孔倾斜角度越大,则螺栓扭矩的增大对2%偏移承载强度的强化效果越不明显。     

Intelligent Silent Zone for Source-Location Privacy Based on Context-Awareness in WSNs

In many wireless sensor networks(WSNs)applications,the preservation of source-location privacy plays a critical role in concealing context information,otherwise the monitored entities or subjects may be put in danger.Many traditional solutions have been proposed based on the creation of random routes,such as random walk and fake sources approach,which will lead to serious packet delay and high energy consumption.Instead of applying the routing in a blind way,this article proposes a novel solution for source location privacy in WSNs by utilizing sensor ability of perceiving the presence a mobile attacker nearby,for patient attackers in particular to increase the safety period and decrease the data delivery delay.The proposed strategy forms an intelligent silent zone(ISZ)by sacrificing only a minority of sensor nodes to entice patient attackers away from real packet routing path.The analysis and simulation results show that the proposed scheme,besides providing source location privacy energy efficiently,can significantly reduce real event reporting latency compared with the existing approaches.     

利用OpenGL显示叶轮造型及模拟加工

分析了OpenGL编程原理以及OpenGL与Windows图形设备接口GDI之间的关系,介绍了OpenGL进行叶轮造型显示及虚拟加工的应用方法.     

异面压缩下六边形铝蜂窝平均塑性坍塌应力研究

为了研究铝蜂窝在准静态异面压缩下的平均塑性坍塌应力，基于简化的基本折叠单元理论，以单个完整铝蜂窝六边形单元为研究对象，根据能量守恒定律，形成一个基本折叠单元外力所做的功等于屈曲能和膜能的总和，由此分别假设铝蜂窝材料服从Tresca屈服准则或Mises屈服准则，给出了两个准静态异面压缩下铝蜂窝平均塑性坍塌应力的理论计算公式，试验结果验证了理论推导的正确性。提出的公式对研究铝蜂窝的异面压缩性能具有一定的工程指导意义。     

热处理真空淬火工艺的应用

超高强度钢在普通空气炉和盐炉中热处理后，零件表面氧化脱碳相对比较厚，再返回机加车间精加工，其高强度给机加带来不便。通过改进热处理工艺，采用保护气氛炉或真空炉淬火，在满足机械性能要求的前提下，实现少、无氧化热处理。     

我国计量行业法规政策和发展趋势分析

计量是实现单位统一、保证量值准确可靠的活动，关系国家安全、国计民生。为夯实计量基础、提升计量能力，抓住计量事业发展的新机遇，本文从行业法规政策、计量发展趋势等方面开展相关研究，为从事计量管理和技术研究工作的人员提供参考。     

Accuracy analysis of GNSS-IR snow depth inversion algorithms

In recent years, with the continuous development of Global Navigation Satellite System (GNSS), it has been applied not only to navigation and positioning, but also to Earth surface environment monitoring. At present, when performing GNSS-IR (GNSS Interferometric Reflectometry) snow depth inversion, Lomb-Scargle Periodogram (LSP) spectrum analysis is mainly used to calculate the vertical height from the antenna phase center to the reflection surface. However, it has the problem of low identification of power spectrum analysis, which may lead to frequency leakage. Therefore, Fast Fourier Transform (FFT) spectrum analysis and Nonlinear Least Square Fitting (NLSF) are introduced to calculate the vertical height in this paper. The GNSS-IR snow depth inversion experiment is carried out by using the observation data of P351 station in PBO (Plate Boundary Observatory) network of the United States from 2013 to 2016. Three algorithms are used to invert the snow depth and compared with the actual snow depth provided by the station 490 in the SNOTEL network. The observations data of L1 and L2 bands are respectively used to find the optimal combination between different algorithms further to improve the accuracy of GNSS-IR snow depth inversion. For L1 band, different snow depths correspond to different optimal algorithms. When the snow depth is less than 0.8 m, the inversion accuracy of NLSF algorithm is the highest. When the snow depth is greater than 0.8 m, the inversion accuracy of FFT algorithm is higher. Therefore, according to the different snow depth, a combined algorithm of NLSF + FFT is proposed for GNSS-IR snow depth inversion. Compared with the traditional LSP algorithm, the inversion accuracy of the combined algorithm is improved by 10%. For L2 band data, the results show that the accuracy of snow depth inversion of various algorithms do not change with the variations of snow depth. Among the three single algorithms, the inversion accuracy of FFT algorithm is better than that of LSP and NLSF algorithms.