Logo do repositório
 
Publicação

Sensitivity analysis of a railway temperature prediction model

datacite.subject.fosEngenharia e Tecnologia
datacite.subject.fosEngenharia e Tecnologia::Engenharia Civil
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorFrigeri, Ary V.N.
dc.contributor.authorBosse, Rubia M.
dc.contributor.authorPiloto, Paulo A.G.
dc.contributor.authorMinhoto, Manuel
dc.date.accessioned2026-03-30T09:32:24Z
dc.date.available2026-03-30T09:32:24Z
dc.date.issued2025
dc.description.abstractRail temperature prediction plays a crucial role in ensuring railway safety, as extreme temperatures can cause local buckling and track instability. This study conducts a reliability- based sensitivity analysis of a previously developed prediction model using MATLAB and UQLab. Two analyses were performed: a global sensitivity analysis considering all parameters as random variables and a Data-Driven Sensitivity Analysis incorporating measured data for key variables to refine the model and enhance its practical applicability. Results indicate that uncertainties in convection and solar absorption are the most influential parameters affecting the response statistics of the rail temperature predictions. Future work will focus on refining parameter distributions and conducting Monte Carlo simulations to improve model accuracy and assess its reliability in unmeasured conditions.eng
dc.identifier.citationFrigeri, Ary V.N.; Bosse, Rubia M.; Piloto, Paulo A.G.; Minhoto, Manuel (2025). Sensitivity analysis of a railway temperature prediction model. In 8th International Conference on Integrity-Reliability-Failure. Porto. p. 351-352. ISBN:978-972-752-323-8. DOI: 10.24840/978-972-752-323-8
dc.identifier.doi10.24840/978-972-752-323-8
dc.identifier.isbn978-972-752-323-8
dc.identifier.urihttp://hdl.handle.net/10198/36375
dc.language.isoeng
dc.peerreviewedyes
dc.relation.hasversionhttps://books.fe.up.pt/index.php/feup/catalog/book/978-972-752-323-8
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectRailway
dc.subjectprediction model
dc.subjecttemperature
dc.subjectsensitivity analysis
dc.titleSensitivity analysis of a railway temperature prediction modeleng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.endPage352
oaire.citation.startPage351
oaire.citation.title8th International Conference on on Integrity-Reliability-Failure
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamePiloto
person.familyNameMinhoto
person.givenNamePaulo A.G.
person.givenNameManuel
person.identifier.ciencia-id0519-449D-6F13
person.identifier.ciencia-id8111-B03D-46D2
person.identifier.orcid0000-0003-2834-0501
person.identifier.orcid0000-0002-0612-0316
person.identifier.ridB-4866-2008
person.identifier.scopus-author-id6506406159
relation.isAuthorOfPublicationbaaee084-ab97-4c95-b636-24ab6bab0e3e
relation.isAuthorOfPublication5a104ed9-9e65-41a2-88af-43309083c985
relation.isAuthorOfPublication.latestForDiscoverybaaee084-ab97-4c95-b636-24ab6bab0e3e

Ficheiros

Principais
A mostrar 1 - 1 de 1
A carregar...
Miniatura
Nome:
REF_331.pdf
Tamanho:
2.11 MB
Formato:
Adobe Portable Document Format
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.75 KB
Formato:
Item-specific license agreed upon to submission
Descrição: