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Automatic Parametric Hull Form Optimization of Fast Naval Vessels

Authors: I. Biliotti; S. Brizzolara; M. VIVIANI; G. Vernengo; D. Ruscelli; M. Galliussi; D. Guadalupi; +1 Authors

Automatic Parametric Hull Form Optimization of Fast Naval Vessels

Abstract

In the present paper the final outcomes of a research project between the Department of Naval Architecture and Marine Engineering of the University of Genoa and Cetena S.p.A. for the Italian Navy in the frame of National Defence Research Plan are presented. A study about the automatic optimization of the fore hull forms of a fast frigate has been carried out. On the basis of a technical specification provided by the Italian Navy, the initial shape of the hull has been defined by means of an accurate preliminary design leading to a set of geometrical constraints for the optimization process. The fully automatic optimization chain has been implemented adopting the ModeFrontier optimization environment to interface the Friendship-Framework (parametric definition of the hull shape), the CFD codes developed by CETENA S.p.A. (to predict the steady -wave resistance- and unsteady –seakeeping- performances of each design candidate), and a MOGA genetic algorithm. Numerical results have been validated by means of calm water model tests performed at the Towing Tank of the Department of Naval Architecture and Electrical Engineering (DINAEL) of the University of Genoa. Notwithstanding the rather high number of constraints, which limit geometry variations, it was possible to obtain an optimal solution, and results have been confirmed by the experimental tests.

Country
Italy
Related Organizations
Keywords

optimisation; ship hydrodynamics; seakeeping; resistance; parametric hull design

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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