A probabilistic method for long-term estimation of ice loads on ship hull

Fang Li*, Mikko Suominen, Liangliang Lu, Pentti Kujala, Rocky Taylor

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

3 Sitaatiot (Scopus)
26 Lataukset (Pure)

Abstrakti

Ships navigating in ice-infested regions need strengthened hull to resist the loads arising from the interactions with ice. Correct estimation of the maximum ice loads a ship may encounter during its lifetime is of vital importance for the design of ship structures. Due to the stochastic nature of ice properties and interaction processes, probabilistic approaches are useful to make long-term estimations of local ice loads on the hull. The Event Maximum Method (EMM) is an existing probabilistic approach for the long-term estimation of ice loads on the hull. This paper aims to extend the current EMM, first by introducing a model for the intercept of the linear regression line on the abscissa in order to quantify this value. Moreover, ice concentration is considered in the extended method as the second ice condition parameter in addition to thickness. The proposed method is applied to the full-scale measurement of the ship S.A. Agulhas II using the data obtained from the 2018/19 Antarctic voyage. The obtained model is then validated against six-year measurement data from 2013 to 2019, which shows reasonable similarity.

AlkuperäiskieliEnglanti
Artikkeli102130
Sivumäärä19
JulkaisuSTRUCTURAL SAFETY
Vuosikerta93
Varhainen verkossa julkaisun päivämäärä21 heinäkuuta 2021
DOI - pysyväislinkit
TilaJulkaistu - marraskuuta 2021
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

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