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Holistic ship design optimization

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dc.contributor.author Papanikolaou, A en
dc.date.accessioned 2014-03-01T01:33:35Z
dc.date.available 2014-03-01T01:33:35Z
dc.date.issued 2010 en
dc.identifier.issn 0010-4485 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/20478
dc.subject Enhanced survivability en
dc.subject Genetic algorithms en
dc.subject Holistic ship design en
dc.subject Minimization of resistance and wash en
dc.subject Multi-objective optimization en
dc.subject.classification Computer Science, Software Engineering en
dc.subject.other Cargo storage en
dc.subject.other Carrying capacity en
dc.subject.other Complex systems en
dc.subject.other Design constraints en
dc.subject.other Design process en
dc.subject.other Design solutions en
dc.subject.other Detailed design en
dc.subject.other Economic life en
dc.subject.other Enhanced survivability en
dc.subject.other Holistic approach en
dc.subject.other Holistic ship design en
dc.subject.other Increased safety en
dc.subject.other Innovative design en
dc.subject.other IS design en
dc.subject.other Minimization of resistance and wash en
dc.subject.other Multiple objectives en
dc.subject.other Objective functions en
dc.subject.other Optimal design en
dc.subject.other Optimization criteria en
dc.subject.other Optimization problems en
dc.subject.other Optimization techniques en
dc.subject.other Selection of the best en
dc.subject.other Ship designs en
dc.subject.other Ship navigation en
dc.subject.other Ship operation en
dc.subject.other Ship systems en
dc.subject.other Stake holders en
dc.subject.other Systemic approach en
dc.subject.other Coordination reactions en
dc.subject.other Ferry boats en
dc.subject.other Genetic algorithms en
dc.subject.other Life cycle en
dc.subject.other Marine engineering en
dc.subject.other Multiobjective optimization en
dc.subject.other Ship propulsion en
dc.subject.other Shipbuilding en
dc.subject.other Ships en
dc.subject.other Design en
dc.title Holistic ship design optimization en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.cad.2009.07.002 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.cad.2009.07.002 en
heal.language English en
heal.publicationDate 2010 en
heal.abstract Ship design is a complex endeavor requiring the successful coordination of many disciplines, of both technical and non-technical nature, and of individual experts to arrive at valuable design solutions. Inherently coupled with the design process is design optimization, namely the selection of the best solution out of many feasible ones on the basis of a criterion, or rather a set of criteria. A systemic approach to ship design may consider the ship as a complex system integrating a variety of subsystems and their components, for example, subsystems for cargo storage and handling, energy/power generation and ship propulsion, accommodation of crew/passengers and ship navigation. Independently, considering that ship design should actually address the whole ship's life-cycle, it may be split into various stages that are traditionally composed of the concept/preliminary design, the contractual and detailed design, the ship construction/fabrication process, ship operation for an economic life and scrapping! recycling. It is evident that an optimal ship is the outcome of a holistic optimization of the entire, above-defined ship system over her whole life-cycle. But even the simplest component of the above-defined optimization problem, namely the first phase (conceptual/preliminary design), is complex enough to require to be simplified (reduced) in practice. Inherent to ship design optimization are also the conflicting requirements resulting from the design constraints and optimization criteria (merit or objective functions), reflecting the interests of the various ship design stake holders. The present paper provides a brief introduction to the holistic approach to ship design optimization, defines the generic ship design optimization problem and demonstrates its solution by use of advanced optimization techniques for the computer-aided generation, exploration and selection of optimal designs. It discusses proposed methods on the basis of some typical ship design optimization problems with multiple objectives, leading to improved and partly innovative designs with increased cargo carrying capacity, increased safety and survivability, reduced required powering and improved environmental protection. The application of the proposed methods to the integrated ship system for life-cycle optimization problem remains a challenging but straightforward task for the years to come. (C) 2009 Elsevier Ltd. All rights reserved. en
heal.publisher ELSEVIER SCI LTD en
heal.journalName CAD Computer Aided Design en
dc.identifier.doi 10.1016/j.cad.2009.07.002 en
dc.identifier.isi ISI:000283395400008 en
dc.identifier.volume 42 en
dc.identifier.issue 11 en
dc.identifier.spage 1028 en
dc.identifier.epage 1044 en


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