Approximation of pitching motion of S-175 containership in irregular waves on the basis of ship's service parameters

• Autorzy: Cepowski T.
• Języki publikacji: EN

Abstrakty

EN

This paper presents approximations of pitching motion of S-175 containership in irregular waves within the full range of ship’s serviceparameters. It continues the research described in [1] dealing with application of artificial neural network stop redict ship’s motions.Referencepitch values were calculated by means of SEAWAY software based on accurate numerical methods. Approximating function was elaborated by using the artificial neural networks

• Wydawca: -
• Czasopismo: Polish Maritime Research
• Rocznik: 2006
• Tom: 13
• Numer: 1
• Opis fizyczny: p.22-25,fig.,ref.

Twórcy

autor

Cepowski T.

• Institute of Marine Navigation, Maritime University of Szczecin, Waly Chrobrego 1/2, 70-500 Szczecin, Poland

Bibliografia

• 1. Cepowski T. Application of statistical method and artificialneural networks for approximating ship’s roll in beam waves. Polish Maritime Research, No. 2, April 2005
• 2. Gerritsma, J. and Beukelman, W.: Analysis of the Resistance Increase in Waves of a Fast Cargo-ship. International Shipbuilding Progress, 18(217), 1972
• 3. Journée J.M.J. Verification and Validation of Ship MotionsProgram SEAWAY. Report1213a, Delft University of Technology, The Netherlands. 2001
• 4. Journée, J. M. J.: Motions and Resistance of a Ship in Regular Following Waves. Technical Report 440, Delft University of Technology, Ship Hydromechanics Laboratory, The Netherlands. (internet: http://dutw189.wbmt.tudelft.nl/~johan or http://www.shipmotions.nl). 1976
• 5. Journée, J. M. J.: Motions, Resistance and Propulsion of a Ship in Longitudinal Regular Waves. Technical Report 428, Delft University of Technology, Ship Hydromechanics Laboratory, The Netherlands. (internet: http://dutw189.wbmt.tudelft.nl/~johan or http://www.shipmotions.nl). 1976
• 6. Staszewska K., Cepowski T.: Prediction of ship’s roll by means of artificial neural networks (in Polish), Scientific bulletins ofSzczecin Maritime University (Zeszyty Naukowe AM) No. 74. Szczecin, 2004
• 7. Szelangiewicz T., Cepowski T.: Application of artificial neuralnetworks to investigation of ship seakeeping ability, Part 1, Polish Maritime Research, Vol 8, No. 3, September 2001