Document Type : Original Article
Authors
1
*Professor of ship structural design, Faculty of Engineering, Port Said University
2
*Professor, Marine Engineering Department, Faculty of Engineering, Alexandria University.
3
*Lecturer, Marine Engineering Department, Faculty of Engineering, Arab Academy for Science & Technology and Maritime Transport (AASTMT). Alexandria, Egypt. (www.aast.edu).
4
Lecturer, Marine Engineering Technology Department, Maritime College, AASTMT
Abstract
The goal of a dimensional prediction model is to offer values that represent the potential full-scale vessel within acceptable tolerances. The paper presents relations among main design parameters of the high speed ro-pax aluminium catamaran ships. The presented relations are derived from the collected data of twenty five existing high speed ro-pax aluminium catamaran ships. The paper focused on identifying design trends and relations between basic ship particulars such as: pay load, ship’s overall length, waterline length, depth, beam, power output, and finally service speed. The proposed relations can be used for the preliminary estimation of the principle dimensions of the high speed ro-pax aluminium catamaran ships at the preliminary design stage or may be a basis for rational selection of the range of variation of main dimensions in high speed ro-pax aluminium catamaran ships series. Another goal of the paper is to update the data and hence the relations that can be used to quickly predict the main dimensions of High Speed RO-PAX Catamarans in preliminary (basic/pre-contract) design stage. For this purpose, the obtained results were compared to other statistical survey made by Fragiskos Zouradkis (2005). It was found that the statistical relations slightly differs from 2005 till 2011, while the only exception was the draft where, it’s noticed that recently high speed ro-pax aluminium catamaran have less draft. Finally, the obtained results were compared with previous formulae, and it was found that the obtained data are nearer to the real one.
Keywords
)
View on SCiNiTO