Title:
A systematic approach to design for lifelong aircraft evolution

dc.contributor.advisor Mavris, Dimitri N.
dc.contributor.author Lim, Dongwook en_US
dc.contributor.committeeMember Bishop, Carlee
dc.contributor.committeeMember Costello, Mark
dc.contributor.committeeMember Nam, Taewoo
dc.contributor.committeeMember Schrage, Daniel P.
dc.contributor.department Aerospace Engineering en_US
dc.date.accessioned 2009-06-08T19:35:26Z
dc.date.available 2009-06-08T19:35:26Z
dc.date.issued 2009-04-06 en_US
dc.description.abstract Modern aerospace systems rely heavily on legacy platforms and their derivatives. Historical examples show that after a vehicle design is frozen and delivered to a customer, successive upgrades are often made to fulfill changing requirements. Current practices of adapting to emerging needs with derivative designs, retrofits, and upgrades are often reactive and ad-hoc, resulting in performance and cost penalties. Recent DoD acquisition policies have addressed this problem by establishing a general paradigm for design for lifelong evolution. However, there is a need for a unified, practical design approach that considers the lifetime evolution of an aircraft concept by incorporating future requirements and technologies. This research proposes a systematic approach with which the decision makers can evaluate the value and risk of a new aircraft development program, including potential derivative development opportunities. The proposed Evaluation of Lifelong Vehicle Evolution (EvoLVE) method is a two- or multi-stage representation of the aircraft design process that accommodates initial development phases as well as follow-on phases. One of the key elements of this method is the Stochastic Programming with Recourse (SPR) technique, which accounts for uncertainties associated with future requirements. The remedial approach of SPR in its two distinctive problem-solving steps is well suited to aircraft design problems where derivatives, retrofits, and upgrades have been used to fix designs that were once but no longer optimal. The solution approach of SPR is complemented by the Risk-Averse Strategy Selection (RASS) technique to gauge risk associated with vehicle evolution options. In the absence of a full description of the random space, a scenario-based approach captures the randomness with a few probable scenarios and reveals implications of different future events. Last, an interactive framework for decision-making support allows simultaneous navigation of the current and future design space with a greater degree of freedom. A cantilevered beam design problem was set up and solved using the SPR technique to showcase its application to an engineering design setting. The full EvoLVE method was conducted on a notional multi-role fighter based on the F/A-18 Hornet. en_US
dc.description.degree Ph.D. en_US
dc.identifier.uri http://hdl.handle.net/1853/28280
dc.publisher Georgia Institute of Technology en_US
dc.subject Risk en_US
dc.subject Two-stage aircraft design en_US
dc.subject Scenario planning en_US
dc.subject Evolutionay acquisition en_US
dc.subject Design optimization en_US
dc.subject Fighter aircraft design en_US
dc.subject Technology integration en_US
dc.subject Requirement evolution en_US
dc.subject Uncertainty en_US
dc.subject Stochastic programming with recourse en_US
dc.subject Design for system evolution en_US
dc.subject.lcsh Airplanes Design and construction
dc.subject.lcsh Product life cycle
dc.subject.lcsh Service life (Engineering)
dc.title A systematic approach to design for lifelong aircraft evolution en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Mavris, Dimitri N.
local.contributor.corporatename Daniel Guggenheim School of Aerospace Engineering
local.contributor.corporatename Aerospace Systems Design Laboratory (ASDL)
local.contributor.corporatename College of Engineering
local.relation.ispartofseries Doctor of Philosophy with a Major in Aerospace Engineering
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