Approximation of added resistance in waves based on ro-ro ferry main dimensions and wave parameters

Tomasz Cepowski

doi:10.2478/v10174-011-0028-3

Authors

Tomasz Cepowski Akademia Morska w Szczecinie, Wydział Nawigacyjny, 70-500 Szczecin, W. Chrobrego 1/2 Author

DOI:

https://doi.org/10.2478/v10174-011-0028-3

Keywords:

added resistance in waves, ro-ro ferry, seakeeping qualities, design parameters, main hull dimensions, linear regression, artificial neural networks

Abstract

The methods herein described deal with predicting the added resistance in waves and may be useful in the preliminary stage of ro-ro ferry design. The research was aimed at replacing the complex numerical model with an approximating model based on the principal design parameters. To achieve this aim the author uses the methods of linear regression and theory of artificial neural networks. The resulting mathematical relationships allow to predict the added resistance in waves by utilizing the basic design parameters of the ship and wave parameters. The research results lead to a comparison of applicability of the linear regression and artificial neural networks theory in prediction of the added resistance in waves at the stage of ship parameters design.

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