A methodology for the initial dimensioning and evaluation of semi-submersible offshore accommodation units by use of a novel optimization procedure is presented. The method developed has two main steps. First, the optimization procedure itself, in which a set of different configurations is considered and one by one optimized following a genetic algorithm in terms of cost estimates, whereas several other characteristics of the units are evaluated according to an embedded synthesis model. Second, the set of optimized geometries are run in commercial software for accurate seakeeping and stability analysis, where requirements’ compliance are checked. The final solution may then be chosen considering the trade-offs between cost and performance. In the last section of this paper, a case study is presented and the results obtained are discussed.
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ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering
June 17–22, 2018
Madrid, Spain
Conference Sponsors:
- Ocean, Offshore and Arctic Engineering Division
ISBN:
978-0-7918-5132-6
PROCEEDINGS PAPER
An Optimization Method for the Concept Design of Semi-Submersible Offshore Accommodation Units
Thiago S. Hallak,
Thiago S. Hallak
Universidade de Lisboa, Lisboa, Portugal
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Manuel Ventura,
Manuel Ventura
Universidade de Lisboa, Lisboa, Portugal
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C. Guedes Soares
C. Guedes Soares
Universidade de Lisboa, Lisboa, Portugal
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Thiago S. Hallak
Universidade de Lisboa, Lisboa, Portugal
Manuel Ventura
Universidade de Lisboa, Lisboa, Portugal
C. Guedes Soares
Universidade de Lisboa, Lisboa, Portugal
Paper No:
OMAE2018-78487, V11AT12A034; 12 pages
Published Online:
September 25, 2018
Citation
Hallak, TS, Ventura, M, & Guedes Soares, C. "An Optimization Method for the Concept Design of Semi-Submersible Offshore Accommodation Units." Proceedings of the ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. Volume 11A: Honoring Symposium for Professor Carlos Guedes Soares on Marine Technology and Ocean Engineering. Madrid, Spain. June 17–22, 2018. V11AT12A034. ASME. https://doi.org/10.1115/OMAE2018-78487
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