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

Journal Article (2023)
Author(s)

Bas Milatz (Student TU Delft, C-Job Naval Architects)

Roy de Winter (C-Job Naval Architects, Universiteit Leiden)

Jelle D.J. van de Ridder (C-Job Naval Architects)

Martijn van Engeland (DELFTship Maritime Software)

F. Mauro (TU Delft - Ship Design, Production and Operations)

Austin Kana (TU Delft - Ship Design, Production and Operations)

Research Group
Ship Design, Production and Operations
Copyright
© 2023 Bas Milatz, Roy de Winter, Jelle D.J. van de Ridder, Martijn van Engeland, F. Mauro, A.A. Kana
DOI related publication
https://doi.org/10.1016/j.ijnaoe.2023.100549
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Bas Milatz, Roy de Winter, Jelle D.J. van de Ridder, Martijn van Engeland, F. Mauro, A.A. Kana
Research Group
Ship Design, Production and Operations
Volume number
15
Reuse Rights

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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.