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dc.contributor.authorDemko, Daniel Todden_US
dc.date.accessioned2014-03-14T20:33:47Z
dc.date.available2014-03-14T20:33:47Z
dc.date.issued2005-05-11en_US
dc.identifier.otheretd-04172006-220400en_US
dc.identifier.urihttp://hdl.handle.net/10919/31743
dc.description.abstractThis thesis focuses on practical and quantitative methods for measuring effectiveness in naval ship design. An Overall Measure of Effectiveness (OMOE) model or function is an essential prerequisite for optimization and design trade-off. This effectiveness can be limited to individual ship missions or extend to missions within a task group or larger context. A method is presented that uses the Analytic Hierarchy Process combined with Multi-Attribute Value Theory to build an Overall Measure of Effectiveness and Overall Measure of Risk function to properly rank and approximately measure the relative mission effectiveness and risk of design alternatives, using trained expert opinion to replace complex analysis tools. A validation of this method is achieved through experimentation comparing ships ranked by the method with direct ranking of the ships through war gaming scenarios. The second part of this thesis presents a mathematical ship synthesis model to be used in early concept development stages of the ship design process. Tools to simplify and introduce greater accuracy are described and developed. Response Surface Models and Design of Experiments simplify and speed up the process. Finite element codes such as MAESTRO improve the accuracy of the ship synthesis models which in turn lower costs later in the design process. A case study of an Advanced Logistics Delivery Ship (ALDV) is performed to asses the use of RSM and DOE methods to minimize computation time when using high-fidelity codes early in the naval ship design process.en_US
dc.publisherVirginia Techen_US
dc.relation.haspartDemko_Thesis_Final.pdfen_US
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Virginia Tech or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectoverall measure of effectivenessen_US
dc.subjectresponse surface modelen_US
dc.subjectoptimizationen_US
dc.subjectanalytical hierarchy processen_US
dc.titleTools for Multi-Objective and Multi-Disciplinary Optimization in Naval Ship Designen_US
dc.typeThesisen_US
dc.contributor.departmentAerospace and Ocean Engineeringen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineAerospace and Ocean Engineeringen_US
dc.contributor.committeechairBrown, Alan J.en_US
dc.contributor.committeememberNeu, Wayne L.en_US
dc.contributor.committeememberHughes, Owen F.en_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-04172006-220400/en_US
dc.date.sdate2006-04-17en_US
dc.date.rdate2006-05-24
dc.date.adate2006-05-24en_US


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