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Technical Briefs

Notes on the Prediction of Extreme Ship Response

[+] Author and Article Information
Wengang Mao

Department of Shipping and Marine Technology,
Chalmers University of Technology,
SE-41296, Gothenburg, Sweden
e-mail: wengang@chalmers.se

Igor Rychlik

Department of Mathematical Sciences,
Chalmers University of Technology,
SE-41296, Gothenburg, Sweden
e-mail: rychlik@chalmers.se

Contributed by the Ocean Offshore and Arctic Engineering Division of ASME for publication in the Journal of Offshore Mechanics and Arctic Engineering. Manuscript received September 22, 2011; final manuscript received October 4, 2012; published online February 25, 2013. Assoc. Editor: Arvid Naess.

J. Offshore Mech. Arct. Eng 135(2), 024501 (Feb 25, 2013) (4 pages) Paper No: OMAE-11-1082; doi: 10.1115/1.4023202 History: Received September 22, 2011; Revised October 04, 2012

In this note the relation between two simple approaches to estimate the extreme ship response used when no, or a limited, amount of data are available is discussed. The first one employs the long term distribution of the local maxima of ship response while the second one uses the expected number of upcrossings of a level by the response. It is mathematically demonstrated that the two approaches are equivalent. However, the upcrossing method is more straightforward and convenient for practical applications, particularly for non-Gaussian responses. The full-scale measurements of a 2800 TEU container ship during the first six months of 2008 are used in the comparisons.

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Copyright © 2013 by ASME
Topics: Waves , Ships , Seas , Stress
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References

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Figures

Grahic Jump Location
Fig. 1

Diagram of the hierarchical model of the ship response

Grahic Jump Location
Fig. 2

Observed upcrossings, estimate of expected number of upcrossings, and the POT fit to the Max cdf tail based on the six-month measurements

Grahic Jump Location
Fig. 3

Estimates of 20-year stress using Rice's method combined with a transformed Gaussian

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