Cycle distributions for Gaussian waves - Exact and approximative results
(2004) 14th International Offshore and Polar Engineering Conference (ISOPE 2004) p.112-119- Abstract
- Wave cycle distributions are notoriously difficult to calculate. Available analytic approximations, like those suggested by Longuet-Higgins (1983) and Cavanie, Arhan and Ezraty (1976) make use only of a few spectral moments, and are unreliable for moderate waves. To find distributions under general spectrum shape and parameters one has to use efficient numerical algorithms based on high-dimensional integrals. The paper presents a number of examples of wave cycle distributions computed by the software package WAFO developed at Lund Institute of Technology; http://www.maths.lth.se/matstat/wafo/. All results are compared to simulated or real data. The wave cycles studied are the max-min cycle, the crest-trough wave cycles, the rainflow cycle... (More)
- Wave cycle distributions are notoriously difficult to calculate. Available analytic approximations, like those suggested by Longuet-Higgins (1983) and Cavanie, Arhan and Ezraty (1976) make use only of a few spectral moments, and are unreliable for moderate waves. To find distributions under general spectrum shape and parameters one has to use efficient numerical algorithms based on high-dimensional integrals. The paper presents a number of examples of wave cycle distributions computed by the software package WAFO developed at Lund Institute of Technology; http://www.maths.lth.se/matstat/wafo/. All results are compared to simulated or real data. The wave cycles studied are the max-min cycle, the crest-trough wave cycles, the rainflow cycle distribution, and the mean-separated max-min cycle. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1406741
- author
- Lindgren, Georg LU and Broberg, KB
- organization
- publishing date
- 2004
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- wave period, stationary Gaussian process, density, spectral, random fatigue, rainflow cycles, crest-trough, max-min
- host publication
- Proceedings of The Fourteenth (2004) International Offshore and Polar Engineering Conference, vol 3
- pages
- 112 - 119
- publisher
- The International Society of Offshore and Polar Engineers
- conference name
- 14th International Offshore and Polar Engineering Conference (ISOPE 2004)
- conference location
- Toulon, France
- conference dates
- 2004-05-23 - 2004-05-28
- external identifiers
-
- wos:000223783100016
- scopus:23844541440
- language
- English
- LU publication?
- yes
- id
- 06912b03-149d-494c-aa91-b127cf61b0b5 (old id 1406741)
- date added to LUP
- 2016-04-04 10:51:50
- date last changed
- 2022-01-29 20:58:32
@inproceedings{06912b03-149d-494c-aa91-b127cf61b0b5, abstract = {{Wave cycle distributions are notoriously difficult to calculate. Available analytic approximations, like those suggested by Longuet-Higgins (1983) and Cavanie, Arhan and Ezraty (1976) make use only of a few spectral moments, and are unreliable for moderate waves. To find distributions under general spectrum shape and parameters one has to use efficient numerical algorithms based on high-dimensional integrals. The paper presents a number of examples of wave cycle distributions computed by the software package WAFO developed at Lund Institute of Technology; http://www.maths.lth.se/matstat/wafo/. All results are compared to simulated or real data. The wave cycles studied are the max-min cycle, the crest-trough wave cycles, the rainflow cycle distribution, and the mean-separated max-min cycle.}}, author = {{Lindgren, Georg and Broberg, KB}}, booktitle = {{Proceedings of The Fourteenth (2004) International Offshore and Polar Engineering Conference, vol 3}}, keywords = {{wave period; stationary Gaussian process; density; spectral; random fatigue; rainflow cycles; crest-trough; max-min}}, language = {{eng}}, pages = {{112--119}}, publisher = {{The International Society of Offshore and Polar Engineers}}, title = {{Cycle distributions for Gaussian waves - Exact and approximative results}}, year = {{2004}}, }