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First Order Stochastic Lagrange Model for Asymmetric Ocean Waves

Lindgren, Georg LU and Åberg, Sofia LU (2009) In Journal of Offshore Mechanics and Arctic Engineering 131(3). p.1-031602
Abstract
The Gaussian linear wave model, which has been successfully used in ocean engineering for more than half a century, is well understood, and there exist both exact theory and efficient numerical algorithms for calculation of the statistical distribution of wave characteristics. It is well suited for moderate seastates and deep water conditions. One drawback, however, is its lack of realism under extreme or shallow water conditions, in particular, its symmetry. 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, which describes the horizontal and vertical movements of individual water particles, is more realistic. Its stochastic... (More)
The Gaussian linear wave model, which has been successfully used in ocean engineering for more than half a century, is well understood, and there exist both exact theory and efficient numerical algorithms for calculation of the statistical distribution of wave characteristics. It is well suited for moderate seastates and deep water conditions. One drawback, however, is its lack of realism under extreme or shallow water conditions, in particular, its symmetry. 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, which describes the horizontal and vertical movements of individual water particles, is more realistic. Its stochastic properties are much less known and have not been studied until quite recently. This paper presents a version of the first order stochastic Lagrange model that is able to generate irregular waves with both crest-trough and front-back asymmetries. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
ocean waves, Gaussian processes
in
Journal of Offshore Mechanics and Arctic Engineering
volume
131
issue
3
pages
1 - 031602
publisher
American Society Of Mechanical Engineers (ASME)
external identifiers
  • wos:000266667000013
  • scopus:77955265605
ISSN
0892-7219
DOI
10.1115/1.3124134
language
English
LU publication?
yes
id
59adabd7-b7b0-48d0-839a-8f713dde0b14 (old id 1443575)
date added to LUP
2009-07-24 12:38:08
date last changed
2017-08-27 04:40:04
@article{59adabd7-b7b0-48d0-839a-8f713dde0b14,
  abstract     = {The Gaussian linear wave model, which has been successfully used in ocean engineering for more than half a century, is well understood, and there exist both exact theory and efficient numerical algorithms for calculation of the statistical distribution of wave characteristics. It is well suited for moderate seastates and deep water conditions. One drawback, however, is its lack of realism under extreme or shallow water conditions, in particular, its symmetry. 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, which describes the horizontal and vertical movements of individual water particles, is more realistic. Its stochastic properties are much less known and have not been studied until quite recently. This paper presents a version of the first order stochastic Lagrange model that is able to generate irregular waves with both crest-trough and front-back asymmetries.},
  author       = {Lindgren, Georg and Åberg, Sofia},
  issn         = {0892-7219},
  keyword      = {ocean waves,Gaussian processes},
  language     = {eng},
  number       = {3},
  pages        = {1--031602},
  publisher    = {American Society Of Mechanical Engineers (ASME)},
  series       = {Journal of Offshore Mechanics and Arctic Engineering},
  title        = {First Order Stochastic Lagrange Model for Asymmetric Ocean Waves},
  url          = {http://dx.doi.org/10.1115/1.3124134},
  volume       = {131},
  year         = {2009},
}