Determination of regression formulas for key design characteristics of container ships at preliminary design stage

• Autorzy: Abramowski T. , Cepowski T. , Zvolenský P.

Identyfikatory

DOI

10.2478/ntpe-2018-0031

• Języki publikacji: EN

Abstrakty

EN

This article presents regression equations to estimate container ship design characteristics based on the most up-to-date data and deadweight capacity, the number of containers and their combination at the preliminary design stage. These design formulas could have application for the estimation of key container ship characteristics such as: main ship dimensions, geometric parameters, main engine total power, ship velocity, final price and others. Regression equations were performed on the basis of IHS Maritime & Trade main container ship data built from 2005-2015. All equations presented in this paper could have practical application at the preliminary design stage and increase ship design theory development.

Słowa kluczowe

EN

preliminary; ship; containership; design; main dimensions; regression

PL

statek; kontenerowiec; projektowanie; główne wymiary; regresja

• Wydawca: STE GROUP ; De Gruyter
• Czasopismo: New Trends in Production Engineering
• Rocznik: 2018
• Tom: Vol. 1, Iss. 1
• Strony: 247--257
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Abramowski T.

• Maritime University of Szczecin, Poland

autor

Cepowski T.

• Maritime University of Szczecin, Poland

autor

Zvolenský P.

• University of Zilina, Slovak Republic

Bibliografia

• 1. Chądzyński W. (2001) 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.
• 2. Ekincia S., Celebia U.B., Bala M., Amasyalia M.F., Boyacia K. (2011) Predictions of oil/chemical tanker main design parameters using computational intelligence techniques. Applied Soft Computing 11 (2011) 2356-2366.
• 3. Elvekrok D.R. (1997) Concurrent Engineering in Ship Design. Journal of Ship Production, Vol. 13, No. 4, pp. 258-269.
• 4. Hou Y., Huang S, Wang W., Hu Y. (2011) Regression Analysis of Ship Principal Dimensions Based on Improved PSO-BP Algorithm, Advanced Materials Research, Vols. 308-310, pp. 1029-1032.
• 5. IHS Fairplay World Shipping Encyclopedia (2015) Maritime Sea-web Online Ship Register [Online], Available from: http://www.sea-web.com [Accessed: 12. Dec. 2015]
• 6. Lin, CK. & Shaw, HJ. J Mar Sci Technol (2016) Preliminary parametric estimation of steel weight for new ships, 21: 227. https://doi.org/10.1007/s00773-015-0345-y
• 7. Kristensen H.O. (2012) Determination of Regression Formulas for Main Dimensions of Tankers and Bulk Carriers based on IHS Fairplay data. Project no. 2010-56, Emissionsbeslutningsstøttesystem. Work Package 2, Report no. 02. Technical University of Denmark.
• 8. Kristensen H.O. (2013) Determination of Regression Formulas for Main Dimensions of Container Ships based on IHS Fairplay data. Project no. 2010-56, Emissionsbeslutningsstøttesystem. Work Package 2, Report no. 03. Technical University of Denmark.
• 9. Papanikolaou A. (2014) Ship Design: Methodologies of Preliminary Design. Dordrecht: Springer.
• 10. Piko G. P. (1980) Regression Analysis of Ship Characteristics. Canberra: C. J. Thompson Commonwealth Government Printer.
• 11. Rawson K.J. and Tupper E.C. (2001) Basic Ship Theory. Ship Dynamics and Design. Volume 2. Fifth edition. Butterworth-Heinemann.
• 12. SigmaLab (2017) ndCurveMaster [online copy] Available from: https://www.ndcurvemaster.com [Accessed: 4 Apr. 2017]. Szczecin, Poland.
• 13. Watson D.G.M. (1998) Practical Ship Design. Volume 1. Elsevier Science.