This paper describes an efficient Monte Carlo based method for prediction of extreme response statistics of fixed offshore structures subjected to random seas. The nonlinear structural response known as “ringing” is studied, which is caused by the wave impact force on structural support units. Common challenge for design of such structures is a sound estimate of the hydrodynamic load including diffraction effects. The aim of the work was to develop specific methods which make it possible to extract the necessary information about the extreme response from relatively short time histories. The method proposed in this paper opens up the possibility to predict simply and efficiently both short-term and long-term extreme response statistics. The results presented are based on extensive simulation results for the large fixed platform operating on the Norwegian continental shelf. Structural response time histories, measured in MARINTEK (MT) wave basin lab, were used to validate numerical results.
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August 2014
Research-Article
Extreme Response Statistics of Fixed Offshore Structures Subjected to Ringing Loads
Oleg Gaidai,
Oleg Gaidai
MARINTEK AS
,NO-7491 Trondheim
, Norway
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Jørgen Krokstad
Jørgen Krokstad
STATKRAFT AS
,NO-7037 Trondheim
, Norway
Search for other works by this author on:
Oleg Gaidai
MARINTEK AS
,NO-7491 Trondheim
, Norway
Jørgen Krokstad
STATKRAFT AS
,NO-7037 Trondheim
, Norway
Contributed by the Ocean, Offshore, and Arctic Engineering Division of ASME for publication in the JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING. Manuscript received November 21, 2010; final manuscript received April 23, 2014; published online May 19, 2014. Assoc. Editor: Bernt J. Leira.
J. Offshore Mech. Arct. Eng. Aug 2014, 136(3): 031604 (9 pages)
Published Online: May 19, 2014
Article history
Received:
November 21, 2010
Revision Received:
April 23, 2014
Citation
Gaidai, O., and Krokstad, J. (May 19, 2014). "Extreme Response Statistics of Fixed Offshore Structures Subjected to Ringing Loads." ASME. J. Offshore Mech. Arct. Eng. August 2014; 136(3): 031604. https://doi.org/10.1115/1.4027542
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