{"data":{"id":"10.4121/1dcda9bd-4ce6-4e0c-9b84-9292d4e101d0","type":"dois","attributes":{"doi":"10.4121/1dcda9bd-4ce6-4e0c-9b84-9292d4e101d0","prefix":"10.4121","suffix":"1dcda9bd-4ce6-4e0c-9b84-9292d4e101d0","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Charisi, Nikoleta Dimitra","nameType":"Personal","givenName":"Nikoleta Dimitra","familyName":"Charisi","nameIdentifiers":[{"nameIdentifier":"0009-0006-8715-4652","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Hopman, Hans","nameType":"Personal","givenName":"Hans","familyName":"Hopman","nameIdentifiers":[{"nameIdentifier":"0000-0002-5404-5699","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Kana, Austin","nameType":"Personal","givenName":"Austin","familyName":"Kana","nameIdentifiers":[{"nameIdentifier":"0000-0002-9600-8669","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]}],"titles":[{"title":"Data underlying chapter 3 of the PhD dissertation: Multi-fidelity probabilistic design framework for early-stage design of novel vessels"}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2025,"subjects":[{"subject":"Mechanical Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0913"},{"subject":"FOS: Mechanical engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Maritime Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0911"},{"subject":"FOS: Environmental engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"09"},{"subject":"conceptual design"},{"subject":"data-driven design"},{"subject":"design space exploration"},{"subject":"multi-fidelity Gaussian processes"},{"subject":"compositional kernels"}],"contributors":[{"name":"TU Delft, Faculty Of Mechanical Engineering, Department Of Maritime And Transport Technology","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2025-02-20","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1115/1.4065890","relatedIdentifierType":"DOI"},{"relationType":"IsVersionOf","relatedIdentifier":"10.4121/1dcda9bd-4ce6-4e0c-9b84-9292d4e101d0.v1","relatedIdentifierType":"DOI"},{"relationType":"IsVersionOf","relatedIdentifier":"10.4121/1dcda9bd-4ce6-4e0c-9b84-9292d4e101d0.v2","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":"2","rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"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.\u003cbr\u003eThe 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\u003cstrong\u003e \u003c/strong\u003ecan be found in this gitlab repository.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[{"awardTitle":"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 \u0026 Maritime: the Blue route’’, which is (partly) financed by the Dutch Research Council (NWO) and Stichting Bijlboegfonds, The Netherlands.","funderName":"unknown"}],"xml":"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