Launch Vehicle Engine Selection Using Probabilistic Techniques

Author(s)
Krevor, Zachary C.
Wilhite, Alan
Advisor(s)
Editor(s)
Associated Organization(s)
Organizational Unit
Daniel Guggenheim School of Aerospace Engineering
The Daniel Guggenheim School of Aeronautics was established in 1931, with a name change in 1962 to the School of Aerospace Engineering
Series
Supplementary to:
Abstract
A new method for selecting the number of engines on a rocket stage based upon reliability and cost is presented. This method will compare a new technique for reliability analysis that results in a higher fidelity model when considering engine out capability. The cost of each vehicle configuration is calculated to find an optimal balance of system cost and reliability. The optimal solution will be determined by using a combined objective function based on minimizing campaign cost and maximizing vehicle reliability. When performing reliability analysis with conventional practices, an engine out scenario is calculated using static tools. Another technique presented here will use a model that can adjust the failure rate of the propulsion subsystem to account for a longer burn time when an engine fails. The propulsion reliability will be combined with the other subsystem reliability estimates to calculate the reliability of the overall system. The system reliability will be one part of an objective function used in the optimization scheme. The methodology is created by using a combination of industry standard tools along with author developed models to create an integrated framework that allows for optimization. The complete design space is explored using optimization to examine the maximum reliability and minimum cost configurations. Additionally, Monte Carlo Simulation is used to vary the single engine failure rate. The ranges for the simulation are drawn from historical data and are used to capture the effects of a higher fidelity modeling technique. Conclusions are made about the engine configuration on the S-II stage of the Saturn V based upon the methodology presented in this paper.
Sponsor
Date
2007-04
Extent
Resource Type
Text
Resource Subtype
Paper
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