Reliability of extreme wave prediction methods

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Title: Reliability of extreme wave prediction methods
Authors: Barker, Aaron
Murphy, Jimmy
Pakrashi, Vikram
Permanent link: http://hdl.handle.net/10197/10406
Date: 15-Jul-2015
Online since: 2019-05-13T09:37:44Z
Abstract: Extreme wave parameters are used for engineering design in our seas and oceans, yet the methods used to determine them are non-standardized and can give highly variable output. With increased commercial activity in the marine sector, the importance of accurate extreme wave parameter determination has become increasingly apparent. This is particularly the case for marine renewable structures where even small over-predictions in design parameters can affect the whole feasibility of the project. This paper addresses the methods of extreme wave prediction currently in use, with a view to selecting the optimal method for the prediction of extreme wave conditions (Hs, Hmax and Tz) in coastal Irish waters. The paper identifies pitfalls and drawbacks of current extreme prediction methods, with particular attention given to the use of limited in time buoy data from coastal locations where development is to take place. In addition a new methodology of determining extreme wave periods, that is the wave periods occurring coincidentally with the most extreme wave heights, is established. This is important as the destructive energy of a wave is dependent on the wave period. By estimating the extreme wave energy and significant wave height, it is possible to formulate a method of reliably approximating the likely coincident wave period.
Type of material: Conference Publication
Copyright (published version): 2015 the Authors
Keywords: Extreme wave parametersMarine sectorMarine renewable structuresExtreme wave conditionsCoastal Irish watersWave period
Other versions: https://icasp12.ubc.ca/
https://open.library.ubc.ca/cIRcle/collections/53032/items/1.0076090
Language: en
Status of Item: Not peer reviewed
Is part of: 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015
Conference Details: 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015, Vancouver, Canada, July 12-15 2015
ISBN: 9780888652454
Appears in Collections:Mechanical & Materials Engineering Research Collection

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