A proper description of the ocean wave climate is of great importance for coastal and ocean engineering design and operation. Marine structures must be designed and constructed so they can withstand wave loads imposed by the environment and the statistics of extreme waves must be taken into account in design and operation. This paper outlines some recent applications of extreme value analysis of ocean waves that are believed to be of relevance for coastal and ocean engineering. These include applications of stationary and non-stationary univariate analyses as well as multivariate analysis and spatial extreme value analysis. Finally, environmental contours are presented as a useful tool to characterise extreme ocean environments for structural design and risk assessment.
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December 2019
Research Article|
December 16 2019
Statistical description and modelling of extreme ocean wave conditions
Erik Vanem, PhD
;
Erik Vanem, PhD
Research Scientist, DNV GL Group Technology and Research, Høvik, Norway (corresponding author: erik.vanem@dnvgl.com)
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Tiago Fazeres-Ferradosa, PhD
;
Tiago Fazeres-Ferradosa, PhD
Researcher, Department of Civil Engineering, Faculty of Engineering, University of Porto, Porto, Portugal
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Paulo Rosa-Santos, PhD;
Paulo Rosa-Santos, PhD
Assistant Professor, Department of Civil Engineering, Faculty of Engineering, University of Porto, Porto, Portugal
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Francisco Taveira-Pinto, PhD
Francisco Taveira-Pinto, PhD
Professor, Department of Civil Engineering, Faculty of Engineering, University of Porto, Porto, Portugal
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Publisher: Emerald Publishing
Received:
July 05 2019
Accepted:
September 18 2019
Online ISSN: 1751-7737
Print ISSN: 1741-7597
ICE Publishing: All rights reserved
2019
Maritime Engineering (2019) 172 (4): 124–132.
Article history
Received:
July 05 2019
Accepted:
September 18 2019
Citation
Vanem E, Fazeres-Ferradosa T, Rosa-Santos P, Taveira-Pinto F (2019), "Statistical description and modelling of extreme ocean wave conditions". Maritime Engineering, Vol. 172 No. 4 pp. 124–132, doi: https://doi.org/10.1680/jmaen.2019.20
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