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Predicting local ice loads on ship bow as a function of ice and operational conditions in the Southern Sea

机译:预测船首船上的局部冰负荷与南冰的冰量和运行条件的关系

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Transportation in ice-prone waters is a timely topic because of the pursuit of natural resources and sea routes. S.A. Agulhas II voyaged in Antarctic waters during the austral summer of 2013-14. This paper studies how the local ice-induced loads on the ship bow are affected by different ice and operational conditions. A hierarchical Gaussian process model was used to study how the load distribution parameters change in different conditions. The operational conditions are described by ship speed, whereas the ice conditions varied from thin, first-year ice, to thick, multiyear ice. Because of this variation, the ice conditions are not represented by ice thickness alone but also by latitude, temperature and voyage time which represent the unmeasured ice strength. The predicted loads from the model match well with the measured loads. According to the model, loads increase in higher ship speed and ice thickness combination, further south, later in the summer and in higher temperatures.
机译:由于对自然资源和海上路线的追求,易冰水域的运输是一个及时的话题。 S.A. Agulhas II在2013-14南方夏季在南极水域中航行。本文研究了船首局部冰致载荷如何受到不同冰种和运行条件的影响。使用分层的高斯过程模型来研究负荷分配参数在不同条件下的变化。运行条件由船速来描述,而结冰条件则从稀薄的一年级冰雪到浓厚的多年制冰不等。由于这种变化,冰况不仅由冰的厚度来表示,而且还由纬度,温度和航行时间来代表,这代表了无法测量的冰强度。来自模型的预测负载与实测负载非常匹配。根据该模型,在更高的船速和更厚的冰层组合(向南,夏季晚些时候和更高的温度)中,载荷会增加。

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