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Application of artificial neural networks to investigations of ship seakeeping ability

100%

Cepowski T., Szelangiewicz T.

Polish Maritime Research

2001

tom 08

nr 3

Application of artificial neural networks to investigations of ship seakeeping ability

100%

Cepowski T., Szelangiewicz T.

Polish Maritime Research

2001

tom 08

nr 4

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On the geometry of ocean surface waves

80%

Massel S. R.

Oceanologia

2011

tom 53

nr 2

The factors influencing the atmosphere-ocean transfer of mass and momentum, as well as incipient wave breaking and the amount of energy dissipated due to breaking, are discussed in detail. In particular, the influence of directional spreading on the statistics of surface wave slopes and the area of the wind- roughened ocean surface is demonstrated. Theoretical analysis and comparison with the available experimental data show that unimodal directional spreading is not able to reproduce the observed ratio of the cross-wind/up-wind mean square slopes. Better agreement is achieved when bimodal directional spreading, consisting of two wrapped-Gaussian distributions, is applied. The bimodal form suggested by Ewans (1998) is used in the paper. Moreover, the formulae developed here show that the increase in the area due to surface waves is rather small for both regular and irregular waves.

Ograniczanie wyników

2 Polish Maritime Research

1 Oceanologia

2 Cepowski T.

2 Szelangiewicz T.

1 Massel S. R.

1 2011

2 2001

Wyniki wyszukiwania

Application of artificial neural networks to investigations of ship seakeeping ability

Application of artificial neural networks to investigations of ship seakeeping ability

On the geometry of ocean surface waves