火星2020任务意外重返轨道后核PRA的验证研究

Arjun Earthperson, M. Diaconeasa
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摘要

如今,概率风险评估(PRA)在确保机器人任务和载人任务的成功方面发挥着至关重要的作用。当前的PRA技术集成了多模式,通常是黑盒分析,以建立全面的风险概况。本文描述了对“火星2020任务环境影响声明核风险评估”(N-PRA)[1]的审查和验证研究。桑迪亚国家实验室为美国宇航局喷气推进实验室(JPL)进行了N-PRA。更具体地说,我们已经验证了与多任务辐射热电发电机(MMRTG)电源释放放射性核素相关的源项计算,该计算适用于一组有限的事故情景,即意外重返地球轨道并撞击地球轨迹的情况。我们通过使用历史上卡西尼任务PRA[3]的分析方法来实现这一目标,该方法用于分析重力辅助下失败的行星摆动。我们的结果在参考研究的28%到56%之间。我们的方法的局限性是由于缺乏现代的基于模拟的工具和确定的方法来模拟复杂的物理现象。对结果进行了解释,并与最初作者提出的值进行了比较,同时对我们当前的方法进行了改进。
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Verification Study of the Nuclear PRA for the Mars 2020 Mission Following Accidental Orbital Re-Entry
Today, Probabilistic Risk Assessment (PRA) plays a vital role in assuring mission success for robotic and crewed missions alike. Current-day PRA techniques integrate multimodal, often black-box analyses to build comprehensive risk profiles. This paper describes a review and verification study of the “Nuclear Risk Assessment for the Mars 2020 Mission Environmental Impact Statement” (N-PRA)[1]. Sandia National Labs conducted the N-PRA for NASA’s Jet Propulsion Laboratory (JPL). More specifically, we have verified the source term calculations associated with the release of radionuclides from a Multi-Mission Radiothermoelectic Generator (MMRTG) power source for a limited set of accident scenarios in the case of an accidental re-entry into Earth Orbit with an Earth impacting trajectory. We achieve this by using analytical methods[2] historically implemented for the Cassini Mission PRA[3] for a failed planetary swingby gravity-assist. Our results are within 28% to 56% of the referenced study. Limitations in our methodology are attributed to a lack of modern simulation-based tools and deterministic methods for modeling complex physical phenomena. The results are interpreted and compared with the values presented by the initial authors, along with comments for improving our current methodology.
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