Optimization in Aircraft Design

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dc.contributor.authorBurgee, Susan L.en
dc.contributor.authorWatson, Layne T.en
dc.contributor.authorGiunta, Anthony A.en
dc.contributor.authorBalabanov, Vladimiren
dc.contributor.authorGrossman, Bernard M.en
dc.contributor.authorHaftka, Raphael T.en
dc.contributor.authorMason, William H.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:36:34Zen
dc.date.available2013-06-19T14:36:34Zen
dc.date.issued1995en
dc.description.abstractA parallel variable-complexity modeling approach, permitting the efficient use of emerging parallel computing in multidisciplinary optimization (MDO) technology, is presented for the particular instance of High Speed Civil Transport (HSCT) design. In this method simple analyses are used to limit the approximation domain based on the D-optimality criterion through the use of a genetic alogorithm. At the D-optimal points, a refined analysis is performed. The optimization code is composed of a sequence of analysis cycles between aerodynamic and structural calculations. Results for coarse grained parallelization of the aerodynamic and structural codes on an Intel Paragon are presented for an example HSCT design problem involving only two variables. The full HSCT design problem employs twenty-eight design variables.en
dc.format.mimetypeapplication/postscripten
dc.identifierhttp://eprints.cs.vt.edu/archive/00000416/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000416/01/TR-95-01.psen
dc.identifier.trnumberTR-95-01en
dc.identifier.urihttp://hdl.handle.net/10919/19898en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.relation.ispartofHistorical Collection(Till Dec 2001)en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleOptimization in Aircraft Designen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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