Charisi, Nikoleta Dimitra; Hopman, Hans; Kana, Austin (2024): Data underlying chapter 5 of the PhD dissertation: Multi-fidelity probabilistic design framework for early-stage design of novel vessels. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/2cc2e2a8-8d04-49ca-9f68-8c1363ec03c3.v1

Dataset

x choose version: version 2 - 2024-12-02 (latest)

• Mechanical Engineering
• Maritime Engineering
• Engineering

AR1 scheme, Early-stage design framework, Gaussian processes, multi-fidelity models, multi-variations design framework

CC BY 4.0

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by Nikoleta Dimitra Charisi , Hans Hopman , Austin Kana

This repository contains the code and data supporting the results presented in Chapter 5 of the dissertation "Multi-Fidelity Probabilistic Design Framework for Early-Stage Design of Novel Vessels". To facilitate early-stage design exploration, this research explores the development of MF models by using available data from past design variations. The case studies include both a simplified problem of a cantilever beam, and the ship design problem of the AXE frigates. 

The data include: (1) the parametric models for the conventional and the AXE frigate developed in Rhino and Grasshopper used to generate the hull mesh, (2)the ansys models for the cantilever beam (3) the simulation data, (4) the data associated with the analyzed cases, and (5)the Python scripts for the development of the MF models can be found in this gitlab repository. The analysis solvers used to calculate the vertical bending moments for calculating the vertical bending moments are not included in this repository.

• 2024-11-25 first online, published, posted

4TU.ResearchData

• This publication is part of the project ‘‘Multi- fidelity Probabilistic Design Framework for Complex Marine Structures, The Netherlands’’ (project number TWM.BL.019.007) of the research programme ‘‘Topsector Water & Maritime: the Blue route’’, which is (partly) financed by the Dutch Research Council (NWO) and Stichting Bijlboegfonds, The Netherlands.

TU Delft, Faculty of Mechanical Engineering, Department of Maritime and Transport Technology