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Lookup NU author(s): Said Mazaheri, Professor Martin Downie
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The accurate prediction of extreme excursion and mooring force of floating offshore structures due to multi-variete environmental conditions which requires the joint probability analysis of environmental conditions for the worst case situation is still impractical as the processing of large amount of met-ocean data is required. On the other hand, the simplified multiple design criteria (e.g. the N-year wave with associated winds and currents) recommended by API known as traditional method does lead neither to the N-year platform response nor to the N-year mooring force. Therefore, in order to reduce the level of conservatism as well as uncertainties involved in the traditional method the response-based method can be used as a reliable alternative approach. In this paper this method is described. In order to perform the calculations faster using large databases of sea states, Artificial Neural Networks (ANN) is designed and employed. In the paper the response-based method is applied to a 200,000 tdw FPSO and the results are discussed. © 2004 Elsevier Ltd. All rights reserved.
Author(s): Mazaheri S, Downie MJ
Publication type: Article
Publication status: Published
Journal: Ocean Engineering
Year: 2005
Volume: 32
Issue: 3-4
Pages: 363-393
ISSN (print): 0029-8018
ISSN (electronic): 1873-5258
Publisher: Pergamon
URL: http://dx.doi.org/10.1016/j.oceaneng.2004.08.004
DOI: 10.1016/j.oceaneng.2004.08.004
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