Dynamic bending moment identification using neural networks

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Conference2th American Towing Tank Conference, 24-25 September 1998, Iowa City, IA
AbstractAn alternative method for the prediction of a ship's dynamic bending stresses at sea is presented and examined in this paper. The method uses a ship's heave and pitch motion to determine the dynamic bending moment at a point along the ship's length. This can be combined with the known still water bending moment, and known ship sectional properties to determine deck and keel stresses. A combination of mathematical modeling, the random decrement, and neural network techniques have been used to determine the relationship between ship motion and bending moment, without any prior knowledge of the wave excitation level. To test this method, two sets of model experiments have been used. One set from a Great Lakes bulk carrier, the other from a Canadian patrol frigate. In each experiment, the mean and variance of the bending moment have been successfully predicted, demonstrating this method as a valid approach.
Publication date
AffiliationNRC Institute for Ocean Technology; National Research Council Canada
Peer reviewedNo
NRC number6566
NPARC number8896260
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Record identifier5d3a2486-82cd-4392-913b-4fe8e911a6c1
Record created2009-04-22
Record modified2016-05-09
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