Data Collection underlying the doctoral thesis: Data-Driven Ship Design: with Computational Fluid Dynamics Data-Driven Surrogate-based Hull-Form Optimization (collection)

Data Collection underlying the doctoral thesis: Data-Driven Ship Design: with Computational Fluid Dynamics Data-Driven Surrogate-based Hull-Form Optimization

DOI:10.4121/240dcd4f-d238-4d05-aa30-46311382e16b.v1

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DOI: 10.4121/240dcd4f-d238-4d05-aa30-46311382e16b

Datacite citation style

Walker, J. M.; Coraddu, A.; Oneto, L. (2025): Data Collection underlying the doctoral thesis: Data-Driven Ship Design: with Computational Fluid Dynamics Data-Driven Surrogate-based Hull-Form Optimization. Version 1. 4TU.ResearchData. collection. https://doi.org/10.4121/240dcd4f-d238-4d05-aa30-46311382e16b.v1

Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Collection

Keywords

Computational Fluid Dynamics Data-Driven Models Design of Experiments Parametrization Physical Plausibility Shape Optimization

by J. M. Walker

, A. Coraddu

, L. Oneto

This dataset supports the doctoral thesis Data-Driven Ship Design: with Computational Fluid Dynamics Data-Driven Surrogate-based Hull-Form Optimization. It contains simulation data collected for the development, training, and evaluation of surrogate models aimed at predicting hydrodynamic resistance for parametrically varied ship hull forms. Hull geometries (based on cargo vessel and sailing hull topologies) were modified using parametric models and Free-Form Deformation (FFD) techniques and analyzed through high-fidelity Computational Fluid Dynamics (CFD) simulations under varying operational conditions (e.g., Froude numbers). The datasets include geometric parameters, hydrostatic and stability properties, operating conditions, and resistance outcomes. It was constructed to enable studies in surrogate modeling, shape optimization, and generalization across hull form design spaces, forming the empirical foundation of the thesis research.

History

2025-07-04 first online, published, posted

Publisher

4TU.ResearchData

Organizations

Delft University of Technology, Faculty of Mechanical Engineering, Department of Marine and Transport Technology, Ship Design, Production and Operations;
University of Genoa, Department of Informatics, Bioengineering, Robotics and Systems Engineering