Statistics of Ice Loads Measured on Mt Uikku in the Baltic

It is well known that the ice loading process has a clear stochastic nature. The stochastic nature is due to the variation in the ice conditions and in the ice-breaking process of the ship. There are only few statistical models to describe variation of the ice-induced loads. These are typically semi-empirical based at least partly on the full scale measured data. In this paper the short term maximum values of ice-induced loads on a typical cargo ship navigating in ice in the Baltic Sea are analysed. The aim is to relate the main statistical variables such as mean and standard deviation to the prevailing ice conditions. The full scale measurements onboard MT Uikku is the main data base in the study. The hull is instrumented to measure the ice induced loads along the hull. During these measurements three voyages have been carried out and peak values of the ice induced loads have been recorded. The characteristics of the voyages and the prevailing ice conditions are described. The mean and standard deviations of the peak values are related to the maximum ice thickness. The analysis reveals that Weibull distribution gives the best fit to the measured statistical distributions.

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  • English

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  • Accession Number: 01554654
  • Record Type: Publication
  • Report/Paper Numbers: PAOC09-51
  • Files: TRIS
  • Created Date: Feb 26 2015 9:53AM