HSVA develops the empirical prediction method

摘要

Today prediction of resistance and propulsion in ice covered waters is usually carried out by using well established semi empirical methods. Hamburgische Schiffbau-Versuchsanstalt GmbH (HSVA) looks at the development of empiric prediction methods for ice-going ships based on artificial neural networks. For navigation in level ice, an approach based on certain ship main dimensions as well as hull shape angles and ice properties is used [1]. The total resistance in ice encountered by the ship is split up into components that each include different physical phenomena like initial crushing, breaking, as well as submersion and sliding of ice floes along the hull.