载人航天任务架构风险分析

S. Go, D. Mathias, H. Nejad
{"title":"载人航天任务架构风险分析","authors":"S. Go, D. Mathias, H. Nejad","doi":"10.1109/RAMS.2013.6517727","DOIUrl":null,"url":null,"abstract":"A human space flight mission is extremely dynamic in nature. A spacecraft faces multiple physical environments and is exposed to dramatically different hazards over the typical phases of a mission: from a minutes-long ascent phase, to a months-long orbital phase, and then an hours-long entry, descent and landing phase. The space transportation vehicle's configuration also changes as each of the stages of the launch vehicle's engines are ignited, burned, turned off, and jettisoned, with new stages and engines taking over the thrusting of the vehicle until the spacecraft is separated from the launch vehicle. Once in orbit, the spacecraft performs its orbital tasks and then returns to earth for safe landing of the astronauts. All the changes in the physical environments encountered during the mission and the response of the system to failures or changes in the configuration of the vehicle call for a modular, dynamic probabilistic risk model that integrates the modeling pieces and faithfully tracks the entire mission timeline in order to understand the risks to the crew across all mission phases. Using a flexible modeling framework that is capable of incorporating various levels of data fidelity, modeling inputs, and timescales allows for a risk analysis methodology that grows with the maturity of the system's design definition while capturing the risk drivers at the right levels throughout the mission.","PeriodicalId":189714,"journal":{"name":"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Human space mission architecture risk analysis\",\"authors\":\"S. Go, D. Mathias, H. Nejad\",\"doi\":\"10.1109/RAMS.2013.6517727\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A human space flight mission is extremely dynamic in nature. A spacecraft faces multiple physical environments and is exposed to dramatically different hazards over the typical phases of a mission: from a minutes-long ascent phase, to a months-long orbital phase, and then an hours-long entry, descent and landing phase. The space transportation vehicle's configuration also changes as each of the stages of the launch vehicle's engines are ignited, burned, turned off, and jettisoned, with new stages and engines taking over the thrusting of the vehicle until the spacecraft is separated from the launch vehicle. Once in orbit, the spacecraft performs its orbital tasks and then returns to earth for safe landing of the astronauts. All the changes in the physical environments encountered during the mission and the response of the system to failures or changes in the configuration of the vehicle call for a modular, dynamic probabilistic risk model that integrates the modeling pieces and faithfully tracks the entire mission timeline in order to understand the risks to the crew across all mission phases. Using a flexible modeling framework that is capable of incorporating various levels of data fidelity, modeling inputs, and timescales allows for a risk analysis methodology that grows with the maturity of the system's design definition while capturing the risk drivers at the right levels throughout the mission.\",\"PeriodicalId\":189714,\"journal\":{\"name\":\"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAMS.2013.6517727\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAMS.2013.6517727","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

人类太空飞行任务在本质上是非常动态的。航天器面临多种物理环境,在任务的典型阶段面临着截然不同的危险:从长达几分钟的上升阶段,到长达数月的轨道阶段,然后是长达数小时的进入、下降和着陆阶段。随着运载火箭发动机的每一级被点燃、燃烧、关闭和丢弃,太空运输飞行器的结构也会发生变化,新的一级和发动机将接管运载火箭的推力,直到航天器与运载火箭分离。一旦进入轨道,飞船就会执行轨道任务,然后返回地球,让宇航员安全着陆。在任务期间遇到的物理环境的所有变化以及系统对故障或车辆配置变化的响应都需要一个模块化的动态概率风险模型,该模型集成了建模部分并忠实地跟踪整个任务时间表,以便了解所有任务阶段对机组人员的风险。使用灵活的建模框架,能够结合不同级别的数据保真度、建模输入和时间尺度,允许风险分析方法随着系统设计定义的成熟而增长,同时在整个任务的正确级别捕获风险驱动因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human space mission architecture risk analysis
A human space flight mission is extremely dynamic in nature. A spacecraft faces multiple physical environments and is exposed to dramatically different hazards over the typical phases of a mission: from a minutes-long ascent phase, to a months-long orbital phase, and then an hours-long entry, descent and landing phase. The space transportation vehicle's configuration also changes as each of the stages of the launch vehicle's engines are ignited, burned, turned off, and jettisoned, with new stages and engines taking over the thrusting of the vehicle until the spacecraft is separated from the launch vehicle. Once in orbit, the spacecraft performs its orbital tasks and then returns to earth for safe landing of the astronauts. All the changes in the physical environments encountered during the mission and the response of the system to failures or changes in the configuration of the vehicle call for a modular, dynamic probabilistic risk model that integrates the modeling pieces and faithfully tracks the entire mission timeline in order to understand the risks to the crew across all mission phases. Using a flexible modeling framework that is capable of incorporating various levels of data fidelity, modeling inputs, and timescales allows for a risk analysis methodology that grows with the maturity of the system's design definition while capturing the risk drivers at the right levels throughout the mission.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信