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DOI: 10.4121/b4bfbbaf-63e9-4d37-8b88-5cb56be1ba2e

Walker, J. M.; Coraddu, A.; Oneto, L. (2025): Data underlying the publication: Data-Driven Models for Yacht Hull Resistance Optimization: Exploring Geometric Parameters Beyond the Boundaries of the Delft Systematic Yacht Hull Series. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/b4bfbbaf-63e9-4d37-8b88-5cb56be1ba2e.v1

Categories

• Maritime Engineering
• Engineering

Keywords

Delft Systematic Yacht Hull Series Hull Parametrization Hull Resistance Hydrostatics

Licence

CC BY-NC 4.0

Interoperability

• RO-Crate Metadata

Collection

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

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by J. M. Walker , A. Coraddu , L. Oneto

This dataset supports the publication Data-Driven Models for Yacht Hull Resistance Optimization: Exploring Geometric Parameters Beyond the Boundaries of the Delft Systematic Yacht Hull Series. It contains hydrodynamic resistance data from the Delft Systematic Yacht Hull Series (DSYHS) for a systematically varied yacht hull forms and the corresponding resistance informed via an Experimental Fluid Dynamics. The research aims to develop and evaluate surrogate models capable of predicting total resistance for yacht hulls with geometries that extend beyond the original scope of the Delft Systematic Yacht Hull Series (DSYHS). The dataset includes geometric descriptors, hydrostatics, operating conditions (e.g., Froude number), and corresponding resistance results. It enables investigations into data-driven resistance prediction, design space generalization, and the impact of geometric features on hull performance.

History

• 2025-07-04 first online, published, posted

Publisher

4TU.ResearchData

Format

MATLAB/.mat

Associated peer-reviewed publication

Data-Driven Models for Yacht Hull Resistance Optimization: Exploring Geometric Parameters Beyond the Boundaries of the Delft Systematic Yacht Hull Series

Organizations

TU Delft, 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