An ice pressure data processing method based on definitions of basic, spatial and temporal events is described. The data processing method can be applied on a data set of semi continuous ice structure interaction observed with a finely meshed pressure sensing matrix with high sampling rates. An available data set satisfying these conditions from a model scale experiment in the Aalto ice tank is used to illustrate the application of the method. Using this novel processing method, each sample is associated with defined events, making it simple to produce various curves from the data set. Global and local, as well as spatial and process representations of pressure area curves are discussed, from design and ice research point of view. Finally four different pressure area curves are presented based on the application of the described processing method on the example data set. This processing methods aims to make extraction of results simpler for the designer and the scientist.

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