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91.
失重因素对航天员体温调节影响的分析 总被引:1,自引:0,他引:1
系统地总结了实际载人航天及地面模拟中失重因素引起的航天员生理性体温调节功能变化的种种现象和内在联系。指出在失重环境下 ,自然对流消失 ,血液重新分布 ,排尿性失水增加 ,血浆容积变小 ,心血管系统功能下降 ,最大氧摄入量降低 ,这些都可导致体温调节能力受损 ,最终使航天员的高温耐力明显下降。文章同时指出 ,在体温调节系统中 ,行为性调节是生理性调节的补充和延伸 ,前者只有通过后者才能发挥作用 ,因此 ,在航天器座舱温控系统及航天服通风 -液冷系统的设计中 ,应充分考虑失重因素的影响。 相似文献
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Xuesong Wang Jianbing Li Longhai Qu Chen Pang Fengliang Niu 《Aerospace Science and Technology》2013,24(1):204-208
Knowledge of the radar scattering characteristics is one of the key issues for the development of wake vortex detection technology. This paper studies the temporal evolution of the RCS (radar cross-section) of wake vortices. The RCS–time plot is observed to increase as a whole and step at a certain time. These properties could provide help to the design of wake vortex detection radar and the optimization of radar station layout. The special spiral structures within the wake, together with the Bragg scattering theory, are used to well explain these phenomena, and some representative radar experiments are also included to verify them. 相似文献
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为了研究空间微小碎片碰撞对航天器的影响,国内外研制了各种类型的微小碎片加速器。文章简要介绍了一种很有前景的静电式微小碎片加速器及其关键部件的工作原理、结构特点及适用范围等。 相似文献
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以惠普尔(Whipple)防护屏结构为例,通过实验研究了铝合金柱状弹体以第一门槛值附近速度斜撞击LY12合金防护屏的特点,研究了不同速度下,不同撞击角度下,防护屏损伤的变化规律,对于速度在第一门槛值附近的斜撞击,以斜撞击存在一个临界入射角度,当入射角度大于临界入射角度时,发生滑弹现象,入射角度越大,产生的滑弹碎片数量就越多。 相似文献
96.
Bao-Jun Pang Dong-Fang Wang Wei-Ke Xiao Bin-Bin Lu 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2021,67(8):2274-2281
The availability of engineering models to estimate the risk from space debris is essential for space missions. According to current research, cumulative flux calculation is mostly carried out based on the equal-width interval discretization. The method discretizes the volume around the Earth into cells defined in earth centered inertial coordinates. The resulting debris flux onto a target object is shown to depend on the chosen size of the cells. To avoid a discretization error, this must be accounted for. In order to present reliable flux predictions for space mission, the algorithm improvement is an ongoing topic for the related research field. The aim of this study was to examine the discretization error during the cumulative flux determination process. Both the effect of interval step length and the orbital boundary are under investigation. Several typical orbits are selected as examples here and the 2018/01/03 TLE (Two Line Element) data published by the US Space Surveillance Network is used as the debris background in this paper. Furthermore, the Interval Distance-Based method for Discretization (IDD) is adopted in this paper. A position-centered flux determination method is introduced based on the IDD method. According to the example analysis, the IDD used in the flux calculation process provides results which are less affected by the interval step-size setup; and the orbital boundary has no effect on the calculation process. In other words, the discretization error is significantly reduced. The position-centered method provided a possible suggestion for the improvement of space debris environment models. 相似文献
97.
Ershen Wang Chaoying Jia Gang Tong Pingping Qu Xiaoyu Lan Tao Pang 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2018,61(5):1260-1272
The receiver autonomous integrity monitoring (RAIM) is one of the most important parts in an avionic navigation system. Two problems need to be addressed to improve this system, namely, the degeneracy phenomenon and lack of samples for the standard particle filter (PF). However, the number of samples cannot adequately express the real distribution of the probability density function (i.e., sample impoverishment). This study presents a GPS receiver autonomous integrity monitoring (RAIM) method based on a chaos particle swarm optimization particle filter (CPSO-PF) algorithm with a log likelihood ratio. The chaos sequence generates a set of chaotic variables, which are mapped to the interval of optimization variables to improve particle quality. This chaos perturbation overcomes the potential for the search to become trapped in a local optimum in the particle swarm optimization (PSO) algorithm. Test statistics are configured based on a likelihood ratio, and satellite fault detection is then conducted by checking the consistency between the state estimate of the main PF and those of the auxiliary PFs. Based on GPS data, the experimental results demonstrate that the proposed algorithm can effectively detect and isolate satellite faults under conditions of non-Gaussian measurement noise. Moreover, the performance of the proposed novel method is better than that of RAIM based on the PF or PSO-PF algorithm. 相似文献
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