Optimization of the gun foundation structure of an offshore patrol vessel using a modern genetic algorithm

A. De Vaucorbeil, K. E. Patron

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

Abstract

The gun foundation of any naval vessel is a critical part of its structure. To ensure that it could safely resist to the loads due to the gun, special care needs to be given to its design. The gun foundation is one of the heaviest part of a naval ship’s structure. Reducing its weight would reduce running and maintenance costs, and could improve the overall stability, sea behavior, and maneuverability of the ship. We have used a genetic algorithm to optimize the design of the gun foundation of an Offshore Patrol Vessel using a genetic algorithm. The presented approach automatically determines the best design parameters that would minimize the weight while satisfying the design criteria of classification societies. Thereby, substantial weight savings were obtained compared to the preliminary design. This example shows that our proposed methodology could be used to optimize the structural design of any portion of a ship.

Original languageEnglish
Title of host publicationProgress in the Analysis and Design of Marine Structures Proceedings of the 6th International Conference on Marine Structures, MARSTRUCT 2017
Subtitle of host publicationProceedings of the 6th International Conference on Marine Structures (MARSTRUCT 2017)
EditorsC. Guedes Soares, Y. Garbatov
Place of PublicationLeiden The Netherlands
PublisherCRC Press
Pages131-140
Number of pages10
Edition1st
ISBN (Electronic)9781351653411
ISBN (Print)9781138069077
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes
EventInternational Conference on Marine Structures 2017 - Lisbon, Portugal
Duration: 8 May 201710 May 2017
Conference number: 6th
http://www.marstruct-vi.com/marstruct2017/

Conference

ConferenceInternational Conference on Marine Structures 2017
Abbreviated titleMARSTRUCT 2017
Country/TerritoryPortugal
CityLisbon
Period8/05/1710/05/17
Internet address

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