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University of Strathclyde

Multi-objective robust early stage ship design optimisation under uncertainty

Abstract

dc:description.abstract

Shipping industry has become very competitive, while a lot of research is carried out in the shipbuilding world to investigate possible ways to improve ship design and create efficient and economical ships. Technological improvements allow the detailed exploration of design space and assist the theory of optimisation in becoming a vital part of ship design. Advanced software tools are available to designers and researchers to expand their design optimisation methodologies and introduce not only more efficient techniques, but also more robust approaches to ship design.The topic of ship design optimisation has been investigated by numerous researchers, who have established structured methodologies which can be applied to real case studies and produce efficient solutions to the ship design problem. However, the definition of the ship design problem changes often due to the introduction of new ship types, international regulations and technological improvements.This thesis contributes to the aforementioned developments with regard to the ship design optimisation problem. The mission is to develop a methodology for a multi-objective robust early stage ship design optimisation under uncertainty. Several aspects of ship design are incorporated, taking into account the holistic ship design model. Various performance indicators are used as measures of merit to evaluate the response of possible solutions to the problem. New regulations are incorporated to the optimisation problem, investigating their impact on its solution. In addition, uncertainty quantification is applied throughout the proposed methodology, while its effect on the ship design optimisation problem is examined.

Degree

thesis:*
Name dc:type.qualificationname
phd
Level dc:type.qualificationlevel
doctoral-pg
Grantor dc:publisher.institution
University of Strathclyde
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Priftis, Alexandros
Advisors dc:contributor.advisor
  • Boulougouris, Evangelos
  • Turan, Osman

Identifiers

dc:identifier.*
Identifier
T15451
Author Identifier
201569923
OAI identifier oai:identifier
oai:strathclyde:5q47rn72z

Chain of custody

source
Harvested from
University of Strathclyde
Base URL
stax.strath.ac.uk/catalog/oai
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Priftis, Alexandros. Multi-objective robust early stage ship design optimisation under uncertainty. doctoral-pg thesis, University of Strathclyde, 2019. https://stax.strath.ac.uk/concern/theses/5q47rn72z