The doi 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/e3eb2bab-8e28-4477-a34f-ba7c94d0d80b

le Poole, Joan (2024): Data underlying the PhD dissertation: Automated Layout Generation and Design Rationale Capture to Support Early-Stage Complex Ship Design. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/e3eb2bab-8e28-4477-a34f-ba7c94d0d80b.v1

Dataset

• Maritime Engineering
• Engineering

collaborative design decision-making, early-stage design, experiment, layout generation, WARGEAR

CC BY-NC-ND 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Joan le Poole

This folder contains (references to) research data related to the dissertation entitled "Automated Layout Generation and Design Rationale Capture to Support Early-Stage Complex Ship Design" by Joan le Poole. Specifically, the data underlying the layout generation case study 4, as well as the data underlying case study 7 on design rationale is provided. In addition, the references to the earlier published research data underlying case studies 1-3 and 5-6 are given. The earlier published data sets as well as this file comprise all data underlying the dissertation mentioned above.

• 2024-02-05 first online, published, posted

4TU.ResearchData

.mat, .csv, .db, .txt, .fig

TU Delft, Faculty Mechanical, Maritime and Materials Engineering 3mE, Department of Marine and Transport Technology
Materiel and IT Command, Netherlands