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Demisability and survivability sensitivity to design-for-demise techniques

机译:对消亡设计技术的可除害性和生存性敏感性

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The paper is concerned with examining the effects that design-for-demise solutions can have not only on the demisability of components, but also on their survivability that is their capability to withstand impacts from space debris. First two models are introduced. A demisability model to predict the behaviour of spacecraft components during the atmospheric re-entry and a survivability model to assess the vulnerability of spacecraft structures against space debris impacts. Two indices that evaluate the level of demisability and survivability are also proposed. The two models are then used to study the sensitivity of the demisability and of the survivability indices as a function of typical design-for-demise options. The demisability and the survivability can in fact be influenced by the same design parameters in a competing fashion that is while the demisability is improved, the survivability is worsened and vice versa. The analysis shows how the design-for-demise solutions influence the demisability and the survivability independently. In addition, the effect that a solution has simultaneously on the two criteria is assessed. Results shows which, among the design-for-demise parameters mostly influence the demisability and the survivability. For such design parameters maps are presented, describing their influence on the demisability and survivability indices. These maps represent a useful tool to quickly assess the level of demisability and survivability that can be expected from a component, when specific design parameters are changed.
机译:本文关注的是检验按消音设计解决方案不仅会对组件的可除害性产生影响,而且还对它们的生存能力(即承受空间碎片影响的能力)产生影响。首先介绍两个模型。一种可预测性模型,用于预测大气层再进入期间航天器组件的行为,以及可生存性模型,用于评估航天器结构抵抗空间碎片撞击的脆弱性。还提出了两个评估可除害性和生存性水平的指标。然后使用这两个模型来研究作为典型消亡设计方案的函数的可除害性和生存性指标的敏感性。实际上,可竞争性和生存能力可以以竞争的方式受到相同设计参数的影响,即在提高可破坏性,恶化生存能力的同时,反之亦然。分析表明,消亡设计解决方案如何独立影响可消灭性和生存能力。另外,评估了溶液同时对两个标准的影响。结果表明,在消亡设计参数中,哪些参数主要影响可消灭性和生存能力。对于此类设计参数,将提供地图,描述其对可除害性和生存性指标的影响。这些地图代表了一种有用的工具,可以在更改特定的设计参数时快速评估组件可预期的可消除性和可生存性的水平。

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