A probabilistic paradigm for spacecraft random reentry disassembly

IF 9.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Reliability Engineering & System Safety Pub Date : 2005-11-01 DOI:10.1016/j.ress.2004.10.013
M.V. Frank , M.A. Weaver , R.L. Baker
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引用次数: 16

Abstract

A new probabilistic paradigm for calculating the uncertainty in casualty area of randomly reentering debris from orbital objects is presented with exemplar calculations of casualty area associated with elements of a reentering Delta II launch vehicle second stage. Sensitivity studies using a probabilistic paradigm for simulation of spacecraft random reentry disassembly have shown the importance of including uncertainties. The sensitivity of casualty area to spacecraft orientation and consequent free-flying ballistic element orientation is extreme. The notion of inherently stochastic processes during reentry is supported by recent data on recovered debris from the Space Shuttle Columbia. Casualty area standards for spacecraft that rely on deterministic estimates may not be providing the level of safety assurance that was intended.

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航天器随机再入拆解的概率范式
提出了一种新的计算轨道物体随机再入碎片伤亡面积不确定性的概率范式,并给出了德尔塔ⅱ型运载火箭第二级再入部件伤亡面积的实例计算。利用概率范式进行的航天器随机再入拆解模拟的敏感性研究表明,考虑不确定性的重要性。伤亡区域对航天器方向和由此产生的自由飞行弹道元件方向的敏感性是极端的。关于哥伦比亚号航天飞机回收碎片的最新数据支持了再入过程固有随机过程的概念。依赖于确定性估计的航天器伤亡区域标准可能无法提供预期的安全保证水平。
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来源期刊
Reliability Engineering & System Safety
Reliability Engineering & System Safety 管理科学-工程:工业
CiteScore
15.20
自引率
39.50%
发文量
621
审稿时长
67 days
期刊介绍: Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.
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