The paper gives means to describe variability of encountered sea states by a vessel. A simple model for significant wave heights variability is proposed that features a relatively small number of parameters having very straightforward physical interpretation. The methods are applied to assessment of the expected damage accumulated in a vessel details as well as the variability of the damage. The Rice method is combined with the model to obtain prediction of the extreme seas that could be encountered by a ship. Significant wave heights are modeled by means of a spatial-temporal random Gaussian field. Its dependence structure can be localized by introduction of time and space dependent parameters in the spectrum. The model has the advantage of having a relatively small number of parameters. These parameters have natural physical interpretation and are statistically fitted to represent variability of observed significant wave heights records. The fitted spatial-temporal significant wave field allows for prediction of fatigue accumulation in ship details and of extreme responses encountered. The method is exemplified by analyzing a container ship data relevant for North Atlantic trade and the results show a high agreement with actual on-board measurements.
%0 Journal Article
%1 Podgorski2013Model
%A Podgórski, Krzysztof
%A Rychlik, Igor
%D 2013
%J Journal of Marine Systems
%K wave dataset statistics
%R 10.1016/j.jmarsys.2013.03.006
%T A model of significant wave height for reliability assessment of a ship
%U http://dx.doi.org/10.1016/j.jmarsys.2013.03.006
%X The paper gives means to describe variability of encountered sea states by a vessel. A simple model for significant wave heights variability is proposed that features a relatively small number of parameters having very straightforward physical interpretation. The methods are applied to assessment of the expected damage accumulated in a vessel details as well as the variability of the damage. The Rice method is combined with the model to obtain prediction of the extreme seas that could be encountered by a ship. Significant wave heights are modeled by means of a spatial-temporal random Gaussian field. Its dependence structure can be localized by introduction of time and space dependent parameters in the spectrum. The model has the advantage of having a relatively small number of parameters. These parameters have natural physical interpretation and are statistically fitted to represent variability of observed significant wave heights records. The fitted spatial-temporal significant wave field allows for prediction of fatigue accumulation in ship details and of extreme responses encountered. The method is exemplified by analyzing a container ship data relevant for North Atlantic trade and the results show a high agreement with actual on-board measurements.
@article{Podgorski2013Model,
abstract = { The paper gives means to describe variability of encountered sea states by a vessel. A simple model for significant wave heights variability is proposed that features a relatively small number of parameters having very straightforward physical interpretation. The methods are applied to assessment of the expected damage accumulated in a vessel details as well as the variability of the damage. The Rice method is combined with the model to obtain prediction of the extreme seas that could be encountered by a ship. Significant wave heights are modeled by means of a spatial-temporal random Gaussian field. Its dependence structure can be localized by introduction of time and space dependent parameters in the spectrum. The model has the advantage of having a relatively small number of parameters. These parameters have natural physical interpretation and are statistically fitted to represent variability of observed significant wave heights records. The fitted spatial-temporal significant wave field allows for prediction of fatigue accumulation in ship details and of extreme responses encountered. The method is exemplified by analyzing a container ship data relevant for North Atlantic trade and the results show a high agreement with actual on-board measurements.},
added-at = {2018-06-18T21:23:34.000+0200},
author = {Podg\'{o}rski, Krzysztof and Rychlik, Igor},
biburl = {https://www.bibsonomy.org/bibtex/2041adbad55ca1f3c913ff57feaa02fce/pbett},
citeulike-article-id = {12243510},
citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.jmarsys.2013.03.006},
doi = {10.1016/j.jmarsys.2013.03.006},
interhash = {206461b1b8210a4a581ee95d24791a03},
intrahash = {041adbad55ca1f3c913ff57feaa02fce},
issn = {09247963},
journal = {Journal of Marine Systems},
keywords = {wave dataset statistics},
month = mar,
posted-at = {2013-04-05 18:13:50},
priority = {2},
timestamp = {2018-06-22T18:33:17.000+0200},
title = {A model of significant wave height for reliability assessment of a ship},
url = {http://dx.doi.org/10.1016/j.jmarsys.2013.03.006},
year = 2013
}