Height distribution of stochastic Lagrange ocean waves
Åberg, Sofia LU and Lindgren, Georg LU
(2008)
In Probabilistic Engineering Mechanics
23(4).
p.359-363
- Abstract
- The Gaussian wave model has been successfully used in ocean engineering for more than half a century. It is well understood, and there exists both exact theory and efficient numerical algorithms for calculation of the distribution of safety related wave characteristics, such as crest height and steepness. Its drawback is its lack of realism: it produces waves which are stochastically symmetric, both in the vertical and in the horizontal direction. From that point of view, the Lagrangian wave model is more realistic, but its stochastic properties have not been studied until quite recently. We present an explicit expression for the occupation density (approximately the univariate probability density) of the Lagrangian wave model. We also... (More)
- The Gaussian wave model has been successfully used in ocean engineering for more than half a century. It is well understood, and there exists both exact theory and efficient numerical algorithms for calculation of the distribution of safety related wave characteristics, such as crest height and steepness. Its drawback is its lack of realism: it produces waves which are stochastically symmetric, both in the vertical and in the horizontal direction. From that point of view, the Lagrangian wave model is more realistic, but its stochastic properties have not been studied until quite recently. We present an explicit expression for the occupation density (approximately the univariate probability density) of the Lagrangian wave model. We also draw some conclusions about the definition of freak or rogue waves. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1170370
- author
- Åberg, Sofia
LU
and Lindgren, Georg
LU
- organization
- publishing date
- 2008
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Significant wave height, Freak waves, Rogue waves, Occupation density, Gaussian process, Wave height
- in
- Probabilistic Engineering Mechanics
- volume
- 23
- issue
- 4
- pages
- 359 - 363
- publisher
- Elsevier
- external identifiers
-
- wos:000259894400003
- scopus:50849115808
- ISSN
- 0266-8920
- DOI
- 10.1016/j.probengmech.2007.08.006
- language
- English
- LU publication?
- yes
- id
- 9c358141-a3b1-42c1-a49a-4bf9cf7a343a (old id 1170370)
- alternative location
- http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6V4M-4S01WR1-3-7&_cdi=5762&_user=745831&_orig=search&_coverDate=10%2F31%2F2008&_sk=999769995&view=c&wchp=dGLzVtb-zSkWA&md5=be8878280b854972ded9ce8208b89412&ie=/sdarticle.pdf
- date added to LUP
- 2016-04-01 11:43:26
- date last changed
- 2022-01-26 17:17:38
@article{9c358141-a3b1-42c1-a49a-4bf9cf7a343a,
abstract = {{The Gaussian wave model has been successfully used in ocean engineering for more than half a century. It is well understood, and there exists both exact theory and efficient numerical algorithms for calculation of the distribution of safety related wave characteristics, such as crest height and steepness. Its drawback is its lack of realism: it produces waves which are stochastically symmetric, both in the vertical and in the horizontal direction. From that point of view, the Lagrangian wave model is more realistic, but its stochastic properties have not been studied until quite recently. We present an explicit expression for the occupation density (approximately the univariate probability density) of the Lagrangian wave model. We also draw some conclusions about the definition of freak or rogue waves.}},
author = {{Åberg, Sofia and Lindgren, Georg}},
issn = {{0266-8920}},
keywords = {{Significant wave height; Freak waves; Rogue waves; Occupation density; Gaussian process; Wave height}},
language = {{eng}},
number = {{4}},
pages = {{359--363}},
publisher = {{Elsevier}},
series = {{Probabilistic Engineering Mechanics}},
title = {{Height distribution of stochastic Lagrange ocean waves}},
url = {{http://dx.doi.org/10.1016/j.probengmech.2007.08.006}},
doi = {{10.1016/j.probengmech.2007.08.006}},
volume = {{23}},
year = {{2008}},
}