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 |