Estimation of Extreme Ship Response
Artikel i vetenskaplig tidskrift, 2012

In practice the severity of ship response is measured by high quantiles of long-term distribution of the response. The distribution is estimated by combining the short-term distribution of the response with a long-term probability distribution of encountered sea states. The paper describes an alternative approach, the so-called Rice’s method, based on estimation of expected number of upcrossings of high levels by stress during 1 year. The method requires description of long-term variability of the standard deviation, skewness, kurtosis, and zero upcrossing frequency of ship response. It is assumed that the parameters are functions of encountered significant wave height, heading angle, and ship speed. The relation can be estimated from the measured stresses or computed by dedicated software assuming rigid ship hull model. Then Winterstein’s transformed Gaussian model is used to estimate the upcrossing rates of response during a sea state. The proposed method is validated using the full-scale measurements of a 2,800 TEU container ship during the first 6 months of 2008. Numerical estimation of 4,400 TEU container ship extreme response illustrates the approach when no measurements are available.

extreme response


long-term distribution


Wengang Mao

Chalmers, Matematiska vetenskaper, matematisk statistik

Göteborgs universitet

Igor Rychlik

Göteborgs universitet

Chalmers, Matematiska vetenskaper, matematisk statistik

Journal of Ship Research

0022-4502 (ISSN)

Vol. 56 23-34


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