Prediction of Shell Finite-Element Stresses using Convolutional Neural Networks (CNN)

Bibliographic Details
Main Author: Nuno Gonçalo Dias Gaspar
Publication Date: 2022
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10216/144224
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network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Prediction of Shell Finite-Element Stresses using Convolutional Neural Networks (CNN)Engenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineering2022-09-292022-09-29T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/10216/144224TID:203170920engNuno Gonçalo Dias Gasparinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T19:44:06Zoai:repositorio-aberto.up.pt:10216/144224Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T23:29:57.571907Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Prediction of Shell Finite-Element Stresses using Convolutional Neural Networks (CNN)
title Prediction of Shell Finite-Element Stresses using Convolutional Neural Networks (CNN)
spellingShingle Prediction of Shell Finite-Element Stresses using Convolutional Neural Networks (CNN)
Nuno Gonçalo Dias Gaspar
Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
title_short Prediction of Shell Finite-Element Stresses using Convolutional Neural Networks (CNN)
title_full Prediction of Shell Finite-Element Stresses using Convolutional Neural Networks (CNN)
title_fullStr Prediction of Shell Finite-Element Stresses using Convolutional Neural Networks (CNN)
title_full_unstemmed Prediction of Shell Finite-Element Stresses using Convolutional Neural Networks (CNN)
title_sort Prediction of Shell Finite-Element Stresses using Convolutional Neural Networks (CNN)
author Nuno Gonçalo Dias Gaspar
author_facet Nuno Gonçalo Dias Gaspar
author_role author
dc.contributor.author.fl_str_mv Nuno Gonçalo Dias Gaspar
dc.subject.por.fl_str_mv Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
topic Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
publishDate 2022
dc.date.none.fl_str_mv 2022-09-29
2022-09-29T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/144224
TID:203170920
url https://hdl.handle.net/10216/144224
identifier_str_mv TID:203170920
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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