模拟解体事件并传播空间碎片轨道

Marius Apetrii, Alessandra Celletti, Christos Efthymiopoulos, Cǎtǎlin Galeş, Tudor Vartolomei
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引用次数: 0

摘要

卫星在地球周围爆炸或碰撞会产生空间碎片,其失控的动态可能会对运行中的卫星造成严重威胁。我们可以根据我们对解体事件中产生的碎片的特性及其后续传播的了解来采取缓解行动。在这种情况下,可以通过实施破裂模拟器来获得重要信息,例如提供碎片数量、碎片面积与质量比或作为碎片特征长度函数的相对速度分布。出于分析碎片动力学的需要,我们在美国国家航空航天局/美国国家航天中心的破裂模型 EVOLVE 4.0 的基础上重建了一个模拟器,并对其自洽性进行了审查。该模型创建于二十一世纪初,以实验室和在轨测试为基础。鉴于建造卫星的材料和方法在不断进步,我们对一些关键参数进行了调整,并得出了不同参数选择下的结果。我们还将介绍铱星-宇宙号碰撞的应用,并讨论破裂事件后的分布函数。分裂模型与碎片的传播密切相关;在这项工作中,我们讨论了如何选择模型和数值积分器,我们提出了碎片如何在时间中分散的例子,我们还研究了多个碎片同时分裂的行为。最后,我们计算了一些检测碎片流的指标。我们使用自己的模拟器 SIMPRO 进行分裂和传播,该模拟器由 EVOLVE 4.0 构建;可执行程序将在 GitHub 上免费提供。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Simulating a breakup event and propagating the orbits of space debris

Simulating a breakup event and propagating the orbits of space debris

Explosions or collisions of satellites around the Earth generate space debris, whose uncontrolled dynamics might raise serious threats for operational satellites. Mitigation actions can be realized on the basis of our knowledge of the characteristics of the fragments produced during the breakup event and their subsequent propagation. In this context, important information can be obtained by implementing a breakup simulator, which provides, for example, the number of fragments, their area-to-mass ratio or the relative velocity distribution as a function of the characteristic length of the fragments. Motivated by the need to analyze the dynamics of the fragments, we reconstruct a simulator based on the NASA/JSC breakup model EVOLVE 4.0 that we review for self-consistency. This model, created at the beginning of the XXI century, is based on laboratory and on-orbit tests. Given that materials and methods for building satellites are constantly progressing, we leave some key parameters variable and produce results for different choices of the parameters. We will also present an application to the Iridium–Cosmos collision and we discuss the distribution function after a breakup event. The breakup model is strongly related to the propagation of the fragments; in this work, we discuss how to choose the models and the numerical integrators, we propose examples of how fragments can disperse in time, and we study the behavior of multiple simultaneous fragmentations. Finally, we compute some indicators for detecting streams of fragments. Breakup and propagation are performed using our own simulator SIMPRO, built from EVOLVE 4.0; the executable program will be freely available on GitHub.

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