engleski

Artificial network boat seakeeping model based on full scale measurements

Heave response of a boat is evaluated based on full scale seakeeping measurements. Vessel motions, position, speed and heading are recorded during sea trials in small-to-medium waves relative to the boat size. Motion data is collected by a navigation grade inertial motion sensor unit and the sea state is noted from a numerical wave model available for the test region. Small vessels are subject to non-linear response and, with sensor recordings delivering large quantities of motion data, artificial neural networks (ANN) are a proven tool to map such behavior. The collected data is analyzed and a heave response prediction model is developed and optimized. The work presents preliminary communication of efforts to combine the disciplines of experimental seakeeping and artificial intelligence data analysis. The evaluation of ANN’s capability and accuracy in predicting seakeeping response of a small vessel in moderate waves can be used to set directions for further investigation.

seakeeping response ; small boat ; full scale measurements ; artificial neural network

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