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排序方式: 共有73条查询结果,搜索用时 31 毫秒
1.
简要说明了风云一号(FY-1)极轨气象卫星的总体情况。介绍了FY-1C星运行5年。D星运行2年后的测控、电源、热控、敖传、扫描辐射计和星载数据收集与分发(DCDS)分系统、有效载荷空间粒子成分监测器。以及姿控和星载计算机的在轨运行情况。在轨测试结果表明,两星的在轨运行、功能和性能符合任务书的要求。最后总结了长寿命高可靠稳定优质业务运行的FY-1C,D星的创新点、主要成绩,并给出了部分应用情况。 相似文献
2.
U. Villante M. De Lauretis P. Francia M. Vellante A. Piancatelli 《Space Science Reviews》2006,122(1-4):107-117
We review the results obtained in the frequency range of Pc3 (22-100 mHz) and Pc4 (7-22 mHz) pulsations at Italian Antarctic
stations in the southern polar cap (“Mario Zucchelli”, at Terra Nova Bay, TNB, 80˚.S; “Concordia”, the Italian/French base at Dome C, DMC, 89˚.S). The absence of a midnight enhancement in the pulsation power suggests a negligible substorm influence at extreme latitudes,
while the sharp noon enhancement, which appears only at TNB, is determined by the closer proximity of the station to cusp
related phenomena. The relationship between the frequency of the band-limited signals and the interplanetary magnetic field
strength, the cone angle influence, and the higher correlation of the Pc3 power with the solar wind speed in the morning hours
suggest a global scenario in which upstream waves would be mainly responsible for the mid-frequency activity in the polar
cap. However, the polarization pattern is odd with respect to the predictions for tailward propagating modes. 相似文献
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复合材料的可设计性为通过弹性剪裁来获得想要的变形模式带来了优势,其结构的耦合特性如拉扭耦合和弯扭耦合可以利用复合材料的各向异性来实现。以薄壁壳结构力学理论为基础,采用多种理论方法研究分析正交各向异性壳体本构关系,给出适合复合材料层压板矩形闭剖面薄壁梁截面的刚度系数解析表达;采用逐阶近似方法,完整设计复杂闭剖面的刚度系数数值算法;针对两种典型的复合材料铺层的矩形闭剖面梁截面布局构型,进行刚度特性的计算分析与讨论,获得铺层角度对复合材料薄壁梁弯曲、扭转及弯扭耦合刚度特性的定量结果。对分析设计闭剖面薄壁结构刚度条件具有应用价值。 相似文献
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基于微分几何推导出了不等极孔椭球类容器纤维缠绕的非测地线稳定缠绕方程,并根据薄膜理
论、层合板理论、蔡-吴失效准则得到了赤道处纤维层的最小厚度1. 281 7 mm,计算出的纤维方向的应力小于
纤维的极限强度3. 92 GPa。发现纤维缠绕椭球容器的应力状态是赤道处最先发生破坏,且会出现局部失效现
象。以缠绕层最小质量M 为目标函数,蔡-吴失效准则为约束条件,在给定内压5 MPa 的情况下,得到了优化
后的容器质量为34. 072 kg。相比于等极孔的容器而言,非测地线缠绕具有高度非线性、不稳定性及精度难以
控制等问题。 相似文献
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《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2020,65(1):518-528
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. 相似文献