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/fc643c31-5428-48dc-bcf3-c8a24d49331a

Charisi, Nikoleta Dimitra; Defer, Emile; Hopman, Hans; Kana, Austin (2024): Data underlying chapter 4 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/fc643c31-5428-48dc-bcf3-c8a24d49331a.v1

Dataset

• Mechanical Engineering
• Maritime Engineering
• Engineering

Compositional kernels, Early-stage design framework, Gaussian processes, Multi-fidelity models, Novel vessels, Vertical bending moment, Wave-induced loads

CC BY 4.0

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by Nikoleta Dimitra Charisi , Emile Defer , Hans Hopman , Austin Kana

This repository contains the code and data supporting the results presented in Chapter 4 of the dissertation "Multi-Fidelity Probabilistic Design Framework for Early-Stage Design of Novel Vessels" and the paper "Multi-fidelity design framework to support early-stage design exploration of the AXE frigates: the vertical bending moment case". The research explores the potential of harnessing multi-fidelity models for early-stage predictions of wave-induced loads, with a specific focus on wave-induced vertical bending moments. The assessed models include the application of both linear and nonlinear Gaussian processes and compositional kernels to improve predictions of wave-induced loads, specifically focusing on wave-induced vertical bending moments. The case study focuses on the early-stage exploration of the AXE frigates. Multi-fidelity models were constructed using both frequency- and time-domain methods to evaluate the vertical bending moments experienced by the hull.

The data include: (1) the parametric model developed in Rhino and Grasshopper used to generate the hull mesh, (2) the simulation data, (3) the data associated with the analyzed cases, and (4)the Python scripts 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.

• 2024-11-26 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