An evolving-requirements technology assessment process for advanced propulsion concepts

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/11555

Title: An evolving-requirements technology assessment process for advanced propulsion concepts
Author: McClure, Erin Kathleen
Abstract: This dissertation investigates the development of a methodology suitable for the evaluation of advanced propulsion concepts. At early stages of development, both the future performance of these concepts and their requirements are highly uncertain, making it difficult to forecast their future value. A systematic methodology to identify potential advanced propulsion concepts and assess their robustness is necessary to reduce the risk of developing advanced propulsion concepts. Existing advanced design methodologies have evaluated the robustness of technologies or concepts to variations in requirements, but they are not suitable to evaluate a large number of dissimilar concepts. Variations in requirements have been shown to impact the development of advanced propulsion concepts, and any method designed to evaluate these concepts must incorporate the possible variations of the requirements into the assessment. In order to do so, a methodology had to do two things. First, it had to systemically identify a probabilistic distribution for the future requirements. Such a distribution would allow decision-makers to quantify the uncertainty introduced by variations in requirements. Second, the methodology must assess the robustness of the propulsion concepts as a function of that distribution. These enabling elements have been synthesized into new methodology, the Evolving Requirements Technology Assessment (ERTA) method. The ERTA method was used to evaluate and compare advanced propulsion systems as possible power systems for a hurricane tracking, High Altitude, Long Endurance (HALE) unmanned aerial vehicle (UAV). The problem served as a good demonstration of the ERTA methodology because conventional propulsion systems will not be sufficient to power the UAV, but the requirements for such a vehicle are still uncertain.
Type: Dissertation
URI: http://hdl.handle.net/1853/11555
Date: 2006-07-07
Publisher: Georgia Institute of Technology
Subject: Technology assessments
Simulated annealing
Advanced propulsion concepts
Cross impact analysis
Combinatorial probabilities
Uncertainty (Information theory)
Decision support systems
Propulsion systems Design and construction
Drone aircraft Design and construction
Department: Aerospace Engineering
Advisor: Committee Chair: Dimitri Mavris; Committee Member: Alan Porter; Committee Member: Daniel Schrage; Committee Member: Danielle Soban; Committee Member: Gary Seng
Degree: Ph.D.

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