Predicting ice-induced load amplitudes on ship bow conditional on ice thickness and ship speed in the Baltic Sea

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Pysyväisosoite

http://hdl.handle.net/10138/297765

Lähdeviite

Kotilainen , M , Vanhatalo , J P , Suominen , M & Kujala , P 2017 , ' Predicting ice-induced load amplitudes on ship bow conditional on ice thickness and ship speed in the Baltic Sea ' , Cold Regions Science and Technology , vol. 135 , pp. 116–126 . https://doi.org/10.1016/j.coldregions.2016.12.006

Julkaisun nimi: Predicting ice-induced load amplitudes on ship bow conditional on ice thickness and ship speed in the Baltic Sea
Tekijä: Kotilainen, Mikko; Vanhatalo, Jarno Petteri; Suominen, Mikko; Kujala, Pentti
Tekijän organisaatio: Department of Mathematics and Statistics
Biosciences
Biostatistics Helsinki
Environmental and Ecological Statistics Group
Päiväys: 2017-03
Kieli: eng
Sivumäärä: 11
Kuuluu julkaisusarjaan: Cold Regions Science and Technology
ISSN: 0165-232X
DOI-tunniste: https://doi.org/10.1016/j.coldregions.2016.12.006
URI: http://hdl.handle.net/10138/297765
Tiivistelmä: Transportation in ice prone waters is a timely topic due to the pursuit for arctic natural resources and sea routes. One important safety aspect in designing ships that enter ice prone waters is to determine the ice-induced loads on ships. However, ice is a particularly inconsistent material; therefore it is difficult to predict the occurring loads when the ship hull breaks the ice. We propose a novel probabilistic, Bayesian, method for modeling and predicting ice load distributions in different ice and operational conditions. We assume the ice loads to be generated from a random process whose parameters change as a function of ice thickness and ship speed. We test four alternative hierarchical Gaussian Process models. The best model shows good performance in predictive validation tests. According to the results the probability of high ice loads increases with increasing ice thickness and increasing speed. The model can be used to predict continuously ice loads in different ice thickness and speed conditions and, with further development, has potential to be utilized in determining the safe way to operate ships in different conditions.
Avainsanat: 112 Statistics and probability
1172 Environmental sciences
Vertaisarvioitu: Kyllä
Tekijänoikeustiedot: cc_by_nc_nd
Pääsyrajoitteet: openAccess
Rinnakkaistallennettu versio: acceptedVersion
Rahoittaja: Academy of Finland
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