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2009 | 16 | 3 |

Tytuł artykułu

On the modeling of car passenger ferryship design parameters with respect to selected sea-keeping qualities and additional resistance in waves

Autorzy

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
This paper presents the modeling of car passenger ferryship design parameters with respect to such design criteria as selected sea-keeping qualities and additional resistance in waves. In the first part of the investigations approximations of selected statistical parameters of design criteria of ferryship were elaborated with respect to ship design parameters. The approximation functions were obtained with the use of artificial neural networks. In the second part of the investigations design solutions were searched for by applying the single- and multi-criterial optimization methods. The multi-criterial optimization was performed by using Pareto method. Such approach made it possible to present solutions in such form as to allow decision makers (shipowner, designer) to select solutions the most favourable in each individual case

Słowa kluczowe

Wydawca

-

Rocznik

Tom

16

Numer

3

Opis fizyczny

p.3-10,fig.,ref.

Twórcy

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

Bibliografia

  • 1. Cepowski T.: Approximation of pitching motion of S-175 containership in irregular waves on the basis of ship’s service parameters. Polish Maritime Research, No. 1(47), Vol. 13, 2006
  • 2. Cepowski T.: Approximation of the index for assessing ships sea-keeping performance on the basis of ship design parameters. Polish Maritime Research, No. 3(53), Vol. 14, 2007
  • 3. Chądzyński W.: Elements of contemporary design methods of floating objects (in Polish). Scientific Reports of Szczecin University of Technology, Department of Ocean Engineering and Marine System Design, Szczecin 2001
  • 4. Gerritsma, J. and Beukelman, W.: Analysis of the Resistance Increase in Waves of a Fast Cargo-ship. International Shipbuilding Progress, 18(217), 1972.
  • 5. Goldberg D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Publication of Pearson Education, Inc, 1989
  • 6. Journée J.M.J.: Verification and Validation of Ship Motions Program SEAWAY. Report1213a, Delft University of Technology, The Netherlands, 2001.
  • 7. Lasdon, L.S., Waren, A.D.: Generalized reduced gradient software for linearly and nonlinearly constrained problems. [in]: Greenberg, H.J., (Ed.) Design and Implementation of Optimization Software. Sijthoff and Noordhoff, Holland, 1978
  • 8. Mesbashi E., Bertram V.: Empirical Design Formulae Using Artificial Neural Nets. 1st International EuroConference on Computer Applications and Information Technology in the Maritime Industries, COMPIT’2000, Potsdam 2000
  • 9. Riola J.M., M.Garcia de Arboleya: Habitability and personal space in sea-keeping behaviour. Journal of Maritime Research, Vol. III, No. 1, 2006
  • 10. Szelangiewicz T., Cepowski T.: Application of artificial neural networks to investigation of ship sea-keeping ability, Part 1, Polish Maritime Research, Vol.8, No. 3, September 2001 11. Szozda Z.: A Concept of Ship Stability Criteria Based on Cargo Shift Caused by Rolling due to Gust. Zeszyty Naukowe (Scientific Bulletins) No. 2 (74), Maritime University of Szczecin, 2004

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-95435b69-8128-48ba-bf81-7df91f8dcb15
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