Reliability and crew safety assessment for a solid rocket booster/J-2S launcher

Fragola, J.R.; Baum, J.D.; Sauvageau, Donald; Horowitz, S. J.

doi:10.1109/rams.2006.1677430

Cited by 4 publications

(2 citation statements)

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“…The safety of the overall system depends on the reliability of the systems 9 . The reliability of a product is strongly influenced by design decisions.…”

Section: The Importance Of Lcamentioning

confidence: 99%

An Integrated Approach to Life Cycle Analysis

Chytka¹,

Brown²,

Shih³

et al. 2006

11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

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Life Cycle Analysis (LCA) is the evaluation of the impacts that design decisions have on a system and provides a framework for identifying and evaluating design benefits and burdens associated with the life cycles of space transportation systems from a "cradle-to-grave" approach. Sometimes called "life cycle assessment", "life cycle approach", or "cradle to grave analysis", it represents a rapidly emerging family of tools and techniques designed to be a decision support methodology and aid in the development of sustainable systems. The implementation of a Life Cycle Analysis can vary and may take many forms; from global system-level uncertainty-centered analysis to the assessment of individualized discriminatory metrics. This paper will focus on a proven LCA methodology developed by the Systems Analysis and Concepts Directorate (SACD) at NASA Langley Research Center to quantify and assess key LCA discriminatory metrics, in particular affordability, reliability, maintainability, and operability. This paper will address issues inherent in Life Cycle Analysis including direct impacts, such as system development cost and crew safety, as well as indirect impacts, which often take the form of coupled metrics (i.e., the cost of system unreliability). Since LCA deals with the analysis of space vehicle system conceptual designs, it is imperative to stress that "the goal of LCA is not to arrive at the answer but, rather, to provide important inputs to a broader strategic planning process, allowing the managers to make risk-informed decisions, and increase the likelihood of meeting mission success criteria."

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“…The safety of the overall system depends on the reliability of the systems 9 . The reliability of a product is strongly influenced by design decisions.…”

Section: The Importance Of Lcamentioning

confidence: 99%

An Integrated Approach to Life Cycle Analysis

Chytka¹,

Brown²,

Shih³

et al. 2006

11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

View full text Add to dashboard Cite

show abstract

“…This value then informs environmental and toxicological legislation . The astronaut office requires a probability of loss of crew lower than 1/1,000 (one in a thousand) as an acceptable risk for space missions . According to the well‐known 1986 Nuclear Regulatory Commission policy statement, the risk of cancer fatalities to the population near a nuclear power plant should not exceed 0.1% of the sum of cancer fatality risks from all other causes .…”

Section: Introductionmentioning

confidence: 99%

Deciding with Thresholds: Importance Measures and Value of Information

Borgonovo

Cillo

2017

Risk Analysis

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Risk-informed decision making is often accompanied by the specification of an acceptable level of risk. Such target level is compared against the value of a risk metric, usually computed through a probabilistic safety assessment model, to decide about the acceptability of a given design, the launch of a space mission, etc. Importance measures complement the decision process with information about the risk/safety significance of events. However, importance measures do not tell us whether the occurrence of an event can change the overarching decision. By linking value of information and importance measures for probabilistic risk assessment models, this work obtains a value-of-information-based importance measure that brings together the risk metric, risk importance measures, and the risk threshold in one expression. The new importance measure does not impose additional computational burden because it can be calculated from our knowledge of the risk achievement and risk reduction worth, and complements the insights delivered by these importance measures. Several properties are discussed, including the joint decision worth of basic event groups. The application to the large loss of coolant accident sequence of the Advanced Test Reactor helps us in illustrating the risk analysis insights.

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The R.A. Evans - P.K. McElroy Award for the 2015 Best Paper

Plotkin¹,

Moon²,

Boyle³

et al. 2016

2016 Annual Reliability and Maintainability Symposium (RAMS)

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Underwater sensor networks pose unique challenges to the design of reliable communication. Due to the high bit error rates experienced in this environment, achieving a compromise between reliability and energy efficiency has become a fundamental problem. In this paper, an objective metric to analyze the reliability of various packet transmission methods available for use in underwater sensor networks is developed. Earlier frameworks comparing competing alternatives have made the simplifying assumption that loss rate is homogeneous across the entire network. Such a simplification contradicts the fact that wireless sensor networks exhibit properties such as link asymmetry and are also influenced by phenomenon like radio irregularity. In light of these realities, it is necessary to relax the existing modeling assumptions to produce a more general framework for assessing the various potential solutions. Drawing on concepts from network reliability theory, measures of network system performance are derived.

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Reliability and crew safety assessment for a solid rocket booster/J-2S launcher

Cited by 4 publications

References 0 publications

An Integrated Approach to Life Cycle Analysis

An Integrated Approach to Life Cycle Analysis

Deciding with Thresholds: Importance Measures and Value of Information

The R.A. Evans - P.K. McElroy Award for the 2015 Best Paper

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