论文标题

预测航天器组件的脆弱性:通过脆弱区域建模碎屑影响效应

Predicting the vulnerability of spacecraft components: modelling debris impact effects through vulnerable-zones

论文作者

Trisolini, Mirko, Lewis, Hugh G., Colombo, Camilla

论文摘要

地球周围的空间环境的大小和更大的物体的含量超过1.3亿个物体,并且未来的预测表明,即使缓解措施的实施速度远胜于今天,这一数量注定要增加。这些物体可能会击中并损坏航天器或其组件。因此,有必要评估卫星在其任务寿命中的风险水平。很少有软件包执行此分析,并且大多数软件包采用了耗时的射线追踪方法,其中粒子是从相关分布中随机采样的。此外,他们倾向于不考虑与次级碎屑云相关的风险。本文介绍了脆弱性评估模型的开发,该模型依赖于完全统计的程序:将碎屑通量直接使用,将它们与脆弱区域的概念结合在一起,避免随机采样碎屑通量。提出了一种新的方法来预测内部组件的损害。它通过基本的几何操作对组件与次级碎屑云之间的相互作用进行建模,考虑到内部组件之间的相互屏蔽和阴影。针对相关测试用例的最新软件对方法进行了测试,并比较了外部结构和内部组件的结果。

The space environment around the Earth is populated by more than 130 million objects of 1 mm in size and larger, and future predictions shows that this amount is destined to increase, even if mitigation measures are implemented at a far better rate than today. These objects can hit and damage a spacecraft or its components. It is thus necessary to assess the risk level for a satellite during its mission lifetime. Few software packages perform this analysis, and most of them employ time-consuming ray-tracing methodology, where particles are randomly sampled from relevant distributions. In addition, they tend not to consider the risk associated with the secondary debris clouds. The paper presents the development of a vulnerability assessment model, which relies on a fully statistical procedure: the debris fluxes are directly used combining them with the concept of the vulnerable zone, avoiding the random sampling the debris fluxes. A novel methodology is presented to predict damage to internal components. It models the interaction between the components and the secondary debris cloud through basic geometric operations, considering mutual shielding and shadowing between internal components. The methodologies are tested against state-of-the-art software for relevant test cases, comparing results on external structures and internal components.

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