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Estimating Extreme Response of Drag Dominated Offshore Structures From Simulated Time Series of Structural Response

[+] Author Affiliations
A. Naess, O. Gaidai

Norwegian University of Science and Technology, Trondheim, Norway

S. Haver

Statoil ASA, Stavanger, Norway

Paper No. OMAE2007-29119, pp. 99-106; 8 pages
  • ASME 2007 26th International Conference on Offshore Mechanics and Arctic Engineering
  • Volume 2: Structures, Safety and Reliability; Petroleum Technology Symposium
  • San Diego, California, USA, June 10–15, 2007
  • Conference Sponsors: Ocean, Offshore and Arctic Engineering Division
  • ISBN: 0-7918-4268-1 | eISBN: 0-7918-3799-8
  • Copyright © 2007 by ASME


The paper presents a study of extreme response statistics of drag dominated offshore structures, showing a pronounced dynamic behaviour when subjected to harsh weather conditions. The key quantity for extreme response prediction is the mean up-crossing rate function, which can be simply extracted from simulated stationary response time histories. Present practise for obtaining adequate extremes for design purposes requires a number — say 20 or more — of 3-hour time domain analyses for several extreme sea states. For early phase considerations, it would be convenient if extremes of a reasonable accuracy could be obtained based on shorter and fewer simulations. It is therefore of interest to develop specific methods which make it possible to extract the necessary information from relatively short time histories. The method proposed in this paper opens up the possibility to predict simply and efficiently long-term extreme response statistics, which is an important issue for the design of offshore structures. A short description of this is given, but in the present paper the emphasis is on short-term analyses. The results presented are based on extensive simulation results for the Kvitebjo̸rn jacket structure, in operation on the Norwegian Continental Shelf. Specifically, deck response time histories for different sea states simulated from a MDOF model were used as the basis for our analyses.

Copyright © 2007 by ASME



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