Data underlying the publication: Computationally Aware and Physically Plausible Hull Form Optimization Incorporating the IMO Second Generation Intact Stability Guidelines

DOI:10.4121/83ddf541-3a59-4061-a54a-be3c035e6243.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/83ddf541-3a59-4061-a54a-be3c035e6243

Datacite citation style

Walker, J. M.; Oneto, L.; Coraddu, A. (2025): Data underlying the publication: Computationally Aware and Physically Plausible Hull Form Optimization Incorporating the IMO Second Generation Intact Stability Guidelines. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/83ddf541-3a59-4061-a54a-be3c035e6243.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset supports the publication Computationally Aware and Physically Plausible Hull Form Optimization Incorporating the IMO Second Generation Intact Stability Guidelines. It contains data generated from the systematic variation of the KRISO Container Ship (KCS) ship hull geometry using Free-Form Deformation (FFD), evaluated through high-fidelity Computational Fluid Dynamics (CFD) simulations and stability assessments. The research focuses on developing optimization strategies that balance resistance performance with compliance to the IMO Second Generation Intact Stability Criteria. The dataset includes the geometries, geometric parameters, operational conditions (e.g., Froude number), and corresponding resistance. It enables studies in multi-objective hull form optimization, regulatory compliance integration, and surrogate modeling within a physically constrained design space.

History

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

Publisher

4TU.ResearchData

Format

MATLAB/.m MATLAB/.mat

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

DATA - under embargo

The files in this dataset are under embargo until 2025-11-15.

Reason

Work is not yet published