Parameter space exploration for the probabilistic damage stability method for dry cargo ships

International Journal of Naval Architecture and Ocean Engineering, vol. 15, pp. 100549

Abstract

The prediction of the statutory attained subdivision index is a challenging issue for the initial design of ships due to the design freedom offered by a probabilistic damage stability assessment. To this end, optimisation techniques integrated with a parametric model of the internal layout may generate a preliminary subdivision design, fulfilling damage stability regulations and cargo volume requirements. The present study explores using a multi-objective constrained optimisation algorithm coupled with a parametric model of a single hold cargo vessel, first investigating two design goal alternatives and secondly performing a global sensitivity analysis on the design variables for the most promising solution. The adoption, in parallel, of state-of-the-art practices shows the validity of the obtained solutions and the time benefits for designers. Nonetheless, the non-linear nature of probabilistic damage stability does not allow for clearly identifying the most impactful parameters on the attained survivability index.

Authors 6

1. Bas Milatz

   Delft University of Technology

   Affiliation as printed

   C-Job Naval Architects, Hoofddorp, the Netherlands

   Department of Maritime and Transport Technology, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Leegwaterstraat 17, 2628, CA, Delft, the Netherlands

2. Roy de Winter Aachen Leiden Institute of Advanced Computer Science

   Leiden University

   Affiliation as printed

   C-Job Naval Architects, Hoofddorp, the Netherlands

   Leiden Institute of Advanced Computer Science, Leiden University, Leiden, the Netherlands

3. Jelle D.J. van de Ridder
   Affiliation as printed

   C-Job Naval Architects, Hoofddorp, the Netherlands

4. Martijn van Engeland
   Affiliation as printed

   DELFTship Maritime Software, Hoofddorp, the Netherlands

5. Francesco Mauro

   Delft University of Technology

   Affiliation as printed

   Department of Maritime and Transport Technology, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Leegwaterstraat 17, 2628, CA, Delft, the Netherlands

6. Austin A. Kana corresponding

   Delft University of Technology

   Affiliation as printed

   Department of Maritime and Transport Technology, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Leegwaterstraat 17, 2628, CA, Delft, the Netherlands