柱状弹丸撞击防护屏形成碎片云材料状态特性研究

微流星体及空间碎片的高速撞击威胁着长寿命、大尺寸航天器的安全运行，导致其严重的损伤和灾难性的失效。为精确估计微流星体及空间碎片高速撞击防护屏所产生碎片云对舱壁的损伤，必须确定碎片云中三种状态材料的特性，建立了碎片云特性分析模型，分别计算了柱状弹丸撞击防护屏所产生碎片云以及碎片云中弹丸和防护屏材料三种状态物质的质量分布。通过计算分析可见，弹丸以不同速度撞击防护屏所产生碎片云三种状态物质的质量分布是不同的，速度增大，液化和气化增强，对靶件的损伤小。而在速度小于7km/s时，碎片云以固体碎片的形式存在，对靶件的损伤大。     

卫星高压气瓶的超高速撞击试验

微流星体及空间碎片超高速撞击对在轨航天器构成了严重威胁,星上压力容器受空间碎片撞击后所产生的威胁是十分严重的,可能导致航天器发生灾难性失效,过早结束其使命。文章通过星上常用气瓶的超高速撞击试验,获取了不同弹丸撞击参数下气瓶器壁的通孔孔径,得到了在弹丸撞击速度为(6.5±0.3)km/s、无防护情况下气瓶器壁的弹道极限,并分析了导致充压气瓶灾难性失效的弹丸直径范围;通过对试验数据拟合,初步建立了弹丸正撞击速度为(6.5±0.3)km/s、无防护情况下气瓶器壁的通孔孔径预测公式,为航天器遭遇空间碎片撞击的风险评估及防护措施制定提供依据。     

弹丸撞击防护屏形成碎片云速度特性研究

微流星及空间碎片的高速撞击威胁着长寿命，大尺寸航天器的安全运行，导致其严重的损伤和灾难性的失效，为精确估计微流星及空间碎片主速撞击防护屏产生的碎片对舱壁的损伤，必须确定碎片云速度特性。文章在冲量和能量守恒的基础上，建立了碎片速度性分析模型，研究了碎片云的速度特性，得到了碎片云材料传播及碎片云喷射角随弹丸撞击速度的变化规律。     

火星探测微流星体环境模型及风险预测

微流星体是自然存在的微型天体.在太阳系空间范围内,微流星体的主要起源为彗星及小行星.在地球至火星的空间范围内,微流星体的飞行速度范围为24.13~42.2km·-1.高速飞行的微流星体一旦撞击火星探测器,将有可能对探测器造成毁灭性的损害.本文基于太阳神探测器的观测结果及彗星轨道观测统计结果,针对火星探测,分别建立了地火转移段及环火飞行段的微流星体环境模型,并基于有限元离散方法建立了火星探测任务的微流星体碰撞风险预测方法.设计了一个虚拟火星探测器,分别对其在地火转移段及环火飞行段的微流星体撞击通量进行了分析.结果显示,在探测器有效任务期内,探测器正面受微流星撞击次数约为背面的10倍.根据本文模型计算结果,将探测器顶板铝合金蒙皮的厚度增加至0.7mm后,在整个任务周期内可将探测器正面受微流星体撞击出现击穿损伤的风险降低为每平米7次.      

航天之窗

用水银望远镜监测太空垃圾 留在太空轨道上的废弃卫星和运载火箭碎片,构成太空垃圾,与微流星体一样,对正常飞行的航天器造成威胁。美国航天飞机在飞行中就曾几次紧急降低轨道高度,以避让太空垃圾,而被微型太空垃圾击中的次数则更多。为了航天器和载人航天活动的安全,需要对数以千计的太空垃圾进行监测。这不是一件简     

航天器空间碎片防护方案的评价方法

在综述国际上已采用和研究的航天器防护空间碎片超高速撞击防护方案评价方法的基础上,对航天器防护方案的评价方法进行了分析与探讨,给出了各种防护方案的撞击极限曲线和撞击极限方程。     

柔性多层冲击空间碎片防护结构设计与试验

充气展开密封结构是未来空间站以及大型空间居住舱的理想构建形式,其外蒙皮由气密层、增强层、微流星体和空间碎片防护层、辐射保护层以及热控层组成。为了既满足对空间碎片的防护,又满足折叠、收纳以及展开的要求,空间碎片防护层需要采用多层冲击防护结构设计。基于多层冲击防护结构,采用国产的玄武岩纤维材料和芳纶织物的特性参数,根据弹道极限方程设定了柔性空间碎片防护层的设计参数,并通过高速撞击试验对根据设计参数生产的试验件进行了试验验证,试验结果与柔性多层冲击防护结构的弹道极限方程吻合较好。     

空间碎片的防护、监测和建模

正空间碎片与航天器的平均撞击速度为10公里/秒,这么高的撞击速度,现有材料难以"扛得住"。那么如何对这种撞击进行防护呢?空间碎片的防护实验证明,超高速弹丸(碎片)与薄靶撞击过程中,会发生破碎、熔化、气化甚至等离子体化等,形成高速运动的物质云团,称为碎片云。弹丸和薄靶     

基于电学成像的蜂窝夹层结构超高速撞击损伤监测

针对航天器遭受空间碎片和微流星体撞击的问题,对蜂窝夹层结构的超高速撞击损伤监测进行研究。提出将碳纳米管薄膜共固化在蜂窝夹层结构面板表面使之具有自感应能力,结合电学成像技术对超高速撞击造成的损伤进行监测和识别。采用二级轻气炮对自感应蜂窝夹层结构进行了超高速撞击,在撞击前后分别向感应层注入微小的激励电流,根据边界电压变化重建损伤引起的电导率变化图像,从而提供有关撞击和损伤的信息。试验结果表明,基于碳纳米管薄膜的感应层性能良好,重建的电导率变化图像能够较好地反映损伤个数、位置和近似尺寸,验证了所提出技术方法的有效性,为航天器结构超高速撞击监测提供了一种新的技术手段。     

空间碎片的空间密度算法研究

由于空间碎片的影响, 空间环境日益恶劣,有必要建立空间碎片环境工程模型对空间碎片撞击航天器进行风险评估.本文研究了空间碎片环境模型中的重要环节, 即碎片的空间密度问题,在统计理论与椭圆轨道理论基础上,分析及推导了空间碎片在空间中的分布状况及空间密度,并得出了碎片空间密度的空间坐标函数解析表达式.同时对引入假设条件的合理性进行了讨论,并利用双行元数据对结论进行了验证, 利用本文方法得出的结果与双行元数据吻合.      

The ratio of hazardous meteoroids to orbital debris in near-Earth space

Orbital debris is known to pose a substantial threat to Earth-orbiting spacecraft at certain altitudes. For instance, the orbital debris flux near Sun-synchronous altitudes of 600–800 km is particularly high due in part to the 2007 Fengyun-1C anti-satellite test and the 2009 Iridium-Kosmos collision. At other altitudes, however, the orbital debris population is minimal and the primary impactor population is not man-made debris particles but naturally occurring meteoroids. While the spacecraft community has some awareness of the risk posed by debris, there is a common misconception that orbital debris impacts dominate the risk at all locations. In this paper, we present a damage-limited comparison between meteoroids and orbital debris near the Earth for a range of orbital altitude and inclination, using NASA’s latest models for each environment. Overall, orbital debris dominates the impact risk between altitudes of 600 and 1300 km, while meteoroids dominate below 270 km and above 4800 km.     

A novel data association scheme for LEO space debris surveillance based on a double fence radar system

The increasing amount of space debris threatens to seriously deteriorate and damage space-based instruments in Low Earth Orbit (LEO) environments. Therefore, LEO space debris surveillance systems must be developed to provide situational awareness in space and issue warnings of collisions with LEO space debris. In this paper, a double fence radar system is proposed as an emerging paradigm for LEO space debris surveillance. This system exhibits several unique and promising characteristics compared with existing surveillance systems. In this paper, we also investigate the data association scheme for LEO space debris surveillance based on a double fence radar system. We also perform a theoretical analysis of the performance of our proposed scheme. The superiority and the effectiveness of our novel data association scheme is demonstrated by experimental results. The data used in our experiments is the LEO space debris catalog produced by the North American Air Defense Command (NORAD) up to 2009, especially for scenarios with high densities of LEO space debris, which were primarily produced by the collisions between Iridium 33 and Cosmos 2251. We hope that our work will stimulate and benefit future work on LEO space debris surveillance approaches and enable construction of the double fence radar system.     

Impact effects from small size meteoroids and space debris

When the impact risk from meteoroids and orbital debris is assessed the main concern is usually structural damage. With their high impact velocities of typically 10–20 km/s millimeter or centimeter sized objects can puncture pressure vessels and other walls or lead to destruction of complete subsystems or even whole spacecraft. Fortunately chances of collisions with such larger objects are small (at least at present). However, particles in the size range 1–100 μm are far more abundant than larger objects and every orbiting spacecraft will encounter them with certainty. Every solar cell (8 cm² area) of the Hubble Space Telescope encountered on average 12 impacts during its 8.25 years of space exposure. Most were from micron sized particles.     

Feasibility analysis of LEO and GEO large space debris de/re-orbiting taking into account launch mass of spacecraft-collector and its configuration layout

Analysis of the efficiency of two basic strategies for de/re-orbiting large space debris objects to disposal orbits (DO) is given. Large objects in LEO are classified into groups with similar orbital inclinations and comprise primarily last stages of launch vehicles, in GEO vicinity the paper studies upper stages. Under the first de/re-orbiting variant, it is assumed a spacecraft-collector is equipped with several thruster de/re-orbiting kits (TDKs); one of them can be fixed on an object and is capable of de/re-orbiting an object to a DO independently of the collector. In the second variant, a collector operates as a space tug: transfers objects to a DO and then returns to the next objects in line. The authors study possible configuration layouts of collectors in LEO and near GEO. The available analogous projects are analyzed. The efficiency of both de/re-orbiting variants can be properly compared using the estimations of collector's dry mass and having at one's disposal the parameters of the maneuvers required for transfers between all objects in the group. As reasonable criteria of effectiveness, one can consider (separately or jointly) the launch mass of an equipped collector, its ΔV budget, and the required number of such active spacecraft. Two de/re-orbiting variants are compared in terms of these criteria via mass-energy diagrams constructed for each group of objects in both altitude regions. Analysis of these diagrams shows that low Earth orbits can be more efficiently cleaned under the first de-orbiting variant by using a two-stage space system consisting of an active spacecraft carrying TDKs. For GEO, it is expedient to choose the second re-orbiting variant using a single-stage spacecraft. Our analysis shows that LEO cleaning is an order of magnitude more expensive than that for GEO, hence the problem of LEO population should be given increased attention.     

Characterizing space debris longitude-dependent distribution based on RAAN perturbation rate

The space debris environment is one of the major threats against payloads. Space debris orbital distribution is of great importance for space debris environment modeling. Due to perturbation factors, the Right Ascension of Ascending Node (RAAN) of space objects changes consistently, causing regular rotation of the orbit plane around Earth’s axis. Based on the investigation of the RAAN perturbation rate of concerned objects, this paper proposes a RAAN discretization method in order to present the space debris longitude-dependent distribution. Combined with two line element (TLE) data provided by the US Space Surveillance Network, the estimated value from RAAN discretization method is compared with the real case. The results suggest that using only the initial orbital data at the beginning of the time interval of interest, the RAAN discretization method is able to provide reliable longitude distribution of concerned targets in the next following period. Furthermore, spacecraft cumulative flux against space debris is calculated in this paper. The results suggest that the relevance between spacecraft RAAN setup and flux output is much smaller for LEO targets than MEO targets, which corresponds with the theory analysis. Since the nonspherical perturbation is the major factor for RAAN variation, the RAAN perturbation rate has little connection with the size of orbital objects. In other words, the RAAN discretization method introduced in this paper also applies to space debris of different size range, proposing a possible suggestion for the improvement of space debris environment engineering models.     

A novel signal processing approach for LEO space debris based on a fence-type space surveillance radar system

The increase in space debris can seriously threaten regular activities in the Low Earth Orbit (LEO) environment. Therefore, it is necessary to develop robust, efficient and reliable techniques to understand the potential motions of the LEO debris. In this paper, we propose a novel signal processing approach to detect and estimate the motions of LEO space debris that is based on a fence-type space surveillance radar system. Because of the sparse distribution of the orbiting debris through the fence in our observations, we formulate the signal detection and the motion parameter estimation as a sparse signal reconstruction problem with respect to an over-complete dictionary. Moreover, we propose a new scheme to reduce the size of the original over-complete dictionary without the loss of the important information. This new scheme is based on a careful analysis of the relations between the acceleration and the directions of arrival for the corresponding LEO space debris. Our simulation results show that the proposed approach can achieve extremely good performance in terms of the accuracy for detection and estimation. Furthermore, our simulation results demonstrate the robustness of the approach in scenarios with a low Signal-to-Noise Ratio (SNR) and the super-resolution properties. We hope our signal processing approach can stimulate further work on monitoring LEO space debris.     

利用精化误差进行危险交会分析

空间碎片碰撞预警工作主要针对的是可监测的较大空间碎片, 预测航天器与碎片之间的碰撞风险, 并根据一定的预警判据来评估风险的大小, 进而做出合理的轨道规避决策. 碰撞概率是碰撞风险评估的重要依据. 复合体尺寸、交会距离和误差是影响碰撞概率的三个决定性因素. 当复合体尺寸与交会距离差别不大时, 误差因素对碰撞概率结果起着决定性的作用. 在利用整天误差计算碰撞概率的基础上, 提出了利用精化误差计算碰撞概率的方法, 在危险交会分析中取得了良好的效果.      

基于解体事件的空间碎片轨道演化算法研究

针对航天器解体事件所生成的空间碎片的演化过程,进行了数学分析,确定了新生成的空间碎片的速度增量,在该增量作用下碎片轨道会发生变更,本文根据该增量得出了空间碎片在轨道变更后的轨道根数,分析了在大气阻力摄动作用下,空间碎片的数目和轨道分布的演化情况,给出了相关结果,结果表明此算法可行。