On the alignment of Ice observation data and ship-Ice simulations

The warming Arctic becomes more popular for shipping. With thinning ice thickness and shrinking ice covered areas in summer, the northern sea routes are becoming more accessible to both, ice going and conventional vessels. To determine the loads on and performance of these different vessels in ice-covered areas, simulations are used. Additionally, the performance assessment relies strongly on ice model tests. For both, the results can only be as good or accurate as the input parameters are, e.g. the ice conditions. To obtain reliable results, simulations have to be validated, which requires detailed ice descriptions as well. As shown in previous research, a simple ice observation protocol based on ice concentration, thickness and floe diameters in the surrounding area is not sufficient to represent a specific ice situation. This work describes and evaluates a new, more detailed approach of ice condition monitoring, based on a combination of shipborne video image data as well as written protocols. By evaluating the image data frame by frame with known vessel positions of each frame, a full image of the ice conditions is stacked together. The ship machinery and navigational data are used to verify the stacked ice images along the ship’s transect.

Content

Subjects

Offshore wind support structures; fatigue strength

welded joints

artificial seawater corrosion

3D surface scanning; weld geometry

lifetime extension

DDC Class

600: Technology