English Polish
Akademia Morska w Szczecinie

DSpace Home

DSpace/Manakin Repository

Title
Application artificial neural networks for predicting wave resistance of ro-ro ferry in initial designing stage

ISSN printed: 1733-8670, ISSN on-line: 2392-0378
Cepowski, Tomasz1
URI: https://repository.am.szczecin.pl/handle/123456789/314
2011-06-10 2012
The paper presents approximations of added wave resistance useful in the early stage of designing ro-ro ferries. Reference added wave resistance values were calculated by means of SEAWAY software based on accurate numerical methods. Approximating function was elaborated by using the artificial neural networks. The model values were calculated by means of 448 ferry shape variants assuming conventional waving parameters and ferry movement parameters. Such approach permitted the replacement of the complicated numerical model with a simple analytical model based on basic hull shape parameters
  1. DUDZIAK J.: Teoria okrętu. FPPOiGM, Gdańsk 2008.,
  2. ARRIBAS F. PE´REZ: Some methods to obtain the added resistance of a ship advancing in waves. Ocean Engineer-ing 34 (2007) 946–955.,
  3. PAYNE S., DALLINGA R.P., GAILLARDE G.: Queen Mary 2 seakeeping assessment: the owner’s requirements, the de-sign verification and operational experience.,
  4. CEPOWSKI T.: Design guidelines for predicting wave resis-tance of ro-ro feries at the initial designing stage. Zeszyty Naukowe Akademii Morskiej w Szczecinie, 22(94), 2010, 5–9.,
  5. Future trends in the design of ro-ro and ro-pax vessels operating in the southern Baltic. BALTIC GATEWAY Report, Sea Highways Ltd, 2005.,
  6. GERRITSMA J., BEUKELMAN W.: Analysis of the Resistance Increase in Waves of a Fast Cargo-ship. International Ship-building Progress, 18(217), 1972.,
  7. NABERGOJ R., JASNA PRPI-ORŠI: A comparison of different methods for added resistance prediction. 22nd IWWWFB, Plitvice, Croatia 2007.,
  8. Journée J.M.J. Verification and Validation of Ship Motions Program SEAWAY. Report1213a, Delft University of Technology, The Netherlands, 2001.,
  9. SCHNEEKLUTH H., BERTRAM V.: Ship Design for Efficiency and Economy. Butterworth-Heinemann, 1998.,

Title

Application artificial neural networks for predicting wave resistance of ro-ro ferry in initial designing stage

Pages

10–14

Figures

6

Tables

1

ISSN printed

1733-8670

ISSN on-line

2392-0378

DOI

Type

Original scientific article

Journal

26 Scientific Journals of the Maritime University of Szczecin, no. 26 / 2011

Publisher

Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie

Copyright Holder

Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie

Published

2011-06-10

Recieved

2011-04-14

Accepted

2011-05-10

Funding

No data

Keywords

approximation, added wave resistance, ro ro ferries, artificial neural networks, hull shape parameters

URI:

https://repository.am.szczecin.pl/handle/123456789/314

Language

English

Authors

Cepowski, Tomasz1

Affiliation

1 Maritime University of Szczecin, Faculty of Navigation, Institute of Marine Navigation, Wały Chrobrego 1-2, 70-500 Szczecin, t.cepowski@am.szczecin.pl

Show full item record

Files in this item

Download paper in PDF format
Name: zn_am_26_98_cepow...
Size: 978.55 KB
Format: PDF
Licence: CC BY
Download

This item appears in the following Collection(s)

Search repository

Advanced Search

Browse

My Account

RSS Feeds

XML

Cite