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Non-Normally Distributed Extreme ValueStatistics in Offshore Design
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Naval Systems.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Extreme value behavior of a moored semi-submersible vessel is investigated. There is

a need for alternative methods other than the Rayleigh peak model when investigating

non-Gaussian processes. In this context the Rayleigh peak model will generally underestimate

extreme values. Four methods are investigated in this study with data from

1000 seeds. They are; construction of an empirical cumulative distribution function,

mean of maximas, a LF/WF spectral partition and peak distribution tail tting. In

turn six peak distributions are investigated. It was found that global motions are more

sensitive than point accelerations to estimation errors, and the more accurate methods

should be applied to global motions. A tted Weibull peak distribution proved to be

the most conservative for both MPM value and 90 th percentile estimations. It was also

found that a mean of 10 maxima was a good estimation of a MPM value. Longer seeds

than three hours are recommended in order to include higher maxima and lower minima.

Further comparison studies are recommended.

Place, publisher, year, edition, pages
2013. , 97 p.
TRITA-AVE, ISSN 1651-7660 ; 2013:46
National Category
Vehicle Engineering
URN: urn:nbn:se:kth:diva-157502OAI: diva2:770260
Educational program
Master of Science - Naval Architecture
Available from: 2014-12-10 Created: 2014-12-10 Last updated: 2014-12-10Bibliographically approved

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