Parametric design and multi-objective optimisation of containerships

Research output: Contribution to conferenceProceeding

Abstract

The introduction of new regulations by the International Maritime Organisation (IMO), the fluctuation of fuel price levels, along with the continuous endeavour of the shipping industry for economic growth and profits has led the shipbuilding industry to explore new and cost-efficient designs for various types of merchant ships. In this respect, proper use of modern computer-aided design/computer-aided engineering systems (CAD/CAE) extends the design space, while generating competitive designs in short lead time. The present paper deals with the parametric design and optimisation of containerships. The developed methodology, which is based on the CAESES/Friendship-Framework software system, is demonstrated by the conceptual design and multi-objective optimisation of a midsized, 6,500 TEU containership. The methodology includes a complete parametric model of the ship’s external and internal geometry and the development and coding of all models necessary for the determination of the design constraints and the design efficiency indicators, which are used for the evaluation of parametrically generated designs. Such indicators defining the objective functions of a multi-objective optimisation problem are herein the energy efficiency design index (EEDI), the required freight rate (RFR), the ship’s zero ballast (Z.B.) container box capacity and the ratio of the above to below deck number of containers. The set-up multi-objective optimisation problem is solved by use of the genetic algorithms and clear Pareto fronts are generated.

Conference

ConferenceInternational Conference of Maritime Safety and Operations 2016
Abbreviated titleMSO 2016
CountryUnited Kingdom
CityGlasgow
Period13/10/1614/10/16
Internet address

Fingerprint

Multiobjective optimization
Ships
Containers
Shipbuilding
Computer aided engineering
Conceptual design
Freight transportation
Energy efficiency
Industry
Computer aided design
Profitability
Computer systems
Genetic algorithms
Economics
Geometry
Costs

Keywords

  • parametric ship design
  • multi-objective optimisation
  • containerships
  • design constraints
  • design efficiency
  • energy efficiency design index

Cite this

Priftis, A., Boulougouris, E., Turan, O., & Papanikolaou, A. (2016). Parametric design and multi-objective optimisation of containerships. 227-234. International Conference of Maritime Safety and Operations 2016, Glasgow, United Kingdom.
Priftis, A. ; Boulougouris, E. ; Turan, O. ; Papanikolaou, A. / Parametric design and multi-objective optimisation of containerships. International Conference of Maritime Safety and Operations 2016, Glasgow, United Kingdom.8 p.
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Priftis, A, Boulougouris, E, Turan, O & Papanikolaou, A 2016, 'Parametric design and multi-objective optimisation of containerships' International Conference of Maritime Safety and Operations 2016, Glasgow, United Kingdom, 13/10/16 - 14/10/16, pp. 227-234.

Parametric design and multi-objective optimisation of containerships. / Priftis, A.; Boulougouris, E.; Turan, O.; Papanikolaou, A.

2016. 227-234 International Conference of Maritime Safety and Operations 2016, Glasgow, United Kingdom.

Research output: Contribution to conferenceProceeding

TY - CONF

T1 - Parametric design and multi-objective optimisation of containerships

AU - Priftis, A.

AU - Boulougouris, E.

AU - Turan, O.

AU - Papanikolaou, A.

PY - 2016/10/13

Y1 - 2016/10/13

N2 - The introduction of new regulations by the International Maritime Organisation (IMO), the fluctuation of fuel price levels, along with the continuous endeavour of the shipping industry for economic growth and profits has led the shipbuilding industry to explore new and cost-efficient designs for various types of merchant ships. In this respect, proper use of modern computer-aided design/computer-aided engineering systems (CAD/CAE) extends the design space, while generating competitive designs in short lead time. The present paper deals with the parametric design and optimisation of containerships. The developed methodology, which is based on the CAESES/Friendship-Framework software system, is demonstrated by the conceptual design and multi-objective optimisation of a midsized, 6,500 TEU containership. The methodology includes a complete parametric model of the ship’s external and internal geometry and the development and coding of all models necessary for the determination of the design constraints and the design efficiency indicators, which are used for the evaluation of parametrically generated designs. Such indicators defining the objective functions of a multi-objective optimisation problem are herein the energy efficiency design index (EEDI), the required freight rate (RFR), the ship’s zero ballast (Z.B.) container box capacity and the ratio of the above to below deck number of containers. The set-up multi-objective optimisation problem is solved by use of the genetic algorithms and clear Pareto fronts are generated.

AB - The introduction of new regulations by the International Maritime Organisation (IMO), the fluctuation of fuel price levels, along with the continuous endeavour of the shipping industry for economic growth and profits has led the shipbuilding industry to explore new and cost-efficient designs for various types of merchant ships. In this respect, proper use of modern computer-aided design/computer-aided engineering systems (CAD/CAE) extends the design space, while generating competitive designs in short lead time. The present paper deals with the parametric design and optimisation of containerships. The developed methodology, which is based on the CAESES/Friendship-Framework software system, is demonstrated by the conceptual design and multi-objective optimisation of a midsized, 6,500 TEU containership. The methodology includes a complete parametric model of the ship’s external and internal geometry and the development and coding of all models necessary for the determination of the design constraints and the design efficiency indicators, which are used for the evaluation of parametrically generated designs. Such indicators defining the objective functions of a multi-objective optimisation problem are herein the energy efficiency design index (EEDI), the required freight rate (RFR), the ship’s zero ballast (Z.B.) container box capacity and the ratio of the above to below deck number of containers. The set-up multi-objective optimisation problem is solved by use of the genetic algorithms and clear Pareto fronts are generated.

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KW - multi-objective optimisation

KW - containerships

KW - design constraints

KW - design efficiency

KW - energy efficiency design index

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UR - https://doi.org/10.5281/zenodo.197092

M3 - Proceeding

SP - 227

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ER -

Priftis A, Boulougouris E, Turan O, Papanikolaou A. Parametric design and multi-objective optimisation of containerships. 2016. International Conference of Maritime Safety and Operations 2016, Glasgow, United Kingdom.