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DOI: 10.4121/00444f91-2b85-4f55-938e-79e5586b6ec0

Walker, J. M.; Coraddu, A.; Oneto, L. (2025): Data underlying the publication: A Review on Shape Optimization of Hulls and Airfoils Leveraging Computational Fluid Dynamics Data-Driven Surrogate Models. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/00444f91-2b85-4f55-938e-79e5586b6ec0.v1

Categories

• Mechanical Engineering
• Aerospace Engineering
• Maritime Engineering
• Engineering

Keywords

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

Licence

CC BY-NC 4.0

Interoperability

• RO-Crate Metadata

Collection

• Data Collection underlying the doctoral thesis: Hull-Form Design Optimization: Using Computational Fluid Dynamics Data-Driven Surrogate Models

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

This dataset supports the publication A Review on Shape Optimization of Hulls and Airfoils Leveraging Computational Fluid Dynamics Data-Driven Surrogate Models. It consists of a structured spreadsheet compiling relevant academic works that apply surrogate modeling techniques to the shape optimization of marine hulls and airfoils. The dataset includes bibliographic information, surrogate model types, CFD fidelity levels, optimization strategies, and target performance metrics. It was manually curated to support a systematic overview of the field, highlighting methodological trends, research gaps, and comparative insights across different domains. This dataset enables further meta-analysis, replication of the review, and serves as a reference resource for researchers entering the field.

History

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

Publisher

4TU.ResearchData

Format

spreadsheet/.xlsx

Associated peer-reviewed publication

A Review on Shape Optimization of Hulls and Airfoils Leveraging Computational Fluid Dynamics Data-Driven Surrogate Models

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