Advances in aircraft design: multiobjective optimization and a markup language

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dc.contributor.authorDeshpande, Shubhangi Govinden
dc.contributor.committeechairWatson, Layne T.en
dc.contributor.committeechairCanfield, Robert A.en
dc.contributor.committeememberFox, Edward A.en
dc.contributor.committeememberNorth, Christopher L.en
dc.contributor.committeememberRamakrishnan, Narenen
dc.contributor.committeememberKolonay, Raymond M.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2014-01-24T09:00:42Zen
dc.date.available2014-01-24T09:00:42Zen
dc.date.issued2014-01-23en
dc.description.abstractToday's modern aerospace systems exhibit strong interdisciplinary coupling and require a multidisciplinary, collaborative approach. Analysis methods that were once considered feasible only for advanced and detailed design are now available and even practical at the conceptual design stage. This changing philosophy for conducting conceptual design poses additional challenges beyond those encountered in a low fidelity design of aircraft. This thesis takes some steps towards bridging the gaps in existing technologies and advancing the state-of-the-art in aircraft design. The first part of the thesis proposes a new Pareto front approximation method for multiobjective optimization problems. The method employs a hybrid optimization approach using two derivative free direct search techniques, and is intended for solving blackbox simulation based multiobjective optimization problems with possibly nonsmooth functions where the analytical form of the objectives is not known and/or the evaluation of the objective function(s) is very expensive (very common in multidisciplinary design optimization). A new adaptive weighting scheme is proposed to convert a multiobjective optimization problem to a single objective optimization problem. Results show that the method achieves an arbitrarily close approximation to the Pareto front with a good collection of well-distributed nondominated points. The second part deals with the interdisciplinary data communication issues involved in a collaborative mutidisciplinary aircraft design environment. Efficient transfer, sharing, and manipulation of design and analysis data in a collaborative environment demands a formal structured representation of data. XML, a W3C recommendation, is one such standard concomitant with a number of powerful capabilities that alleviate interoperability issues. A compact, generic, and comprehensive XML schema for an aircraft design markup language (ADML) is proposed here to provide a common language for data communication, and to improve efficiency and productivity within a multidisciplinary, collaborative environment. An important feature of the proposed schema is the very expressive and efficient low level schemata. As a proof of concept the schema is used to encode an entire Convair B58. As the complexity of models and number of disciplines increases, the reduction in effort to exchange data models and analysis results in ADML also increases.en
dc.description.degreePh. D.en
dc.format.mediumETDen
dc.identifier.othervt_gsexam:2103en
dc.identifier.urihttp://hdl.handle.net/10919/25142en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectMultiobjective optimizationen
dc.subjectPareto optimalityen
dc.subjectdirect search methoden
dc.subjectsurrogatesen
dc.subjectadaptive scalarizationen
dc.subjectDelaunay triangulationen
dc.subjectmultidisciplinary aircraft designen
dc.subjectmarkup languageen
dc.subjectXML schema.en
dc.titleAdvances in aircraft design: multiobjective optimization and a markup languageen
dc.typeDissertationen
thesis.degree.disciplineComputer Science and Applicationsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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