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: 10.4121/1dcda9bd-4ce6-4e0c-9b84-9292d4e101d0

Charisi, Nikoleta Dimitra; Hopman, Hans; Kana, Austin (2024): Data underlying chapter 3 of the PhD dissertation: Multi-fidelity probabilistic design framework for early-stage design of novel vessels. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/1dcda9bd-4ce6-4e0c-9b84-9292d4e101d0.v1

Dataset

• Mechanical Engineering
• Maritime Engineering
• Engineering

compositional kernels, conceptual design, data-driven design, design space exploration, multi-fidelity Gaussian processes

CC BY 4.0

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

by Nikoleta Dimitra Charisi , Hans Hopman , Austin Kana

This repository contains the code and data supporting the results presented in Chapter 3 of the dissertation "Multi-Fidelity Probabilistic Design Framework for Early-Stage Design of Novel Vessels" and the paper "Multi-fidelity design framework integrating compositional kernels to facilitate early-stage design exploration of complex systems". The research explores the integration of compositional kernels into the autoregressive scheme (AR1) of Multi-Fidelity Gaussian Processes, aiming to enhance the predictive accuracy and reduce uncertainty in design space estimation. The effectiveness of this method is assessed by applying it to 5 benchmark problems and a simplified design scenario of a cantilever beam.

The data include: (1) the Ansys model of the cantilever beam, (2) the simulation data, (3) the data associated with the analyzed cases, and (4)the Python scripts can be found in this gitlab repository.

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

4TU.ResearchData

Multi-Fidelity Design Framework Integrating Compositional Kernels to Facilitate Early-Stage Design Exploration of Complex Systems

• 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