Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/87011

Registo completo
Campo DCValorIdioma
dc.contributor.authorCabral, Rafaelpor
dc.contributor.authorOliveira, Rogériopor
dc.contributor.authorRibeiro, Diogopor
dc.contributor.authorRakoczy, Anna M.por
dc.contributor.authorSantos, Ricardopor
dc.contributor.authorAzenha, Miguelpor
dc.contributor.authorCorreia, Josépor
dc.date.accessioned2023-10-20T10:50:59Z-
dc.date.available2023-10-20T10:50:59Z-
dc.date.issued2023-07-20-
dc.identifier.citationCabral, R.; Oliveira, R.; Ribeiro, D.; Rakoczy, A.M.; Santos, R.; Azenha, M.; Correia, J. Railway Bridge Geometry Assessment Supported by Cutting-Edge Reality Capture Technologies and 3D As-Designed Models. Infrastructures 2023, 8, 114. https://doi.org/10.3390/infrastructures8070114por
dc.identifier.urihttps://hdl.handle.net/1822/87011-
dc.description.abstractDocumentation of structural visual inspections is necessary for its monitoring, maintenance, and decision about its rehabilitation, and structural strengthening. In recent times, close-range photogrammetry (CRP) based on unmanned aerial vehicles (UAVs) and terrestrial laser scanners (TLS) have greatly improved the survey phase. These technologies can be used independently or in combination to provide a 3D as-is image-based model of the railway bridge. In this study, TLS captured the side and bottom sections of the deck, while the CRP-based UAV captured the side and top sections of the deck, and the track. The combination of post-processing techniques enabled the merging of TLS and CRP models, resulting in the creation of an accurate 3D representation of the complete railway bridge deck. Additionally, a 3D as-designed model was developed based on the design plans of the bridge. The as-designed model is compared to the as-is model through a 3D digital registration. The comparison allows the detection of dimensional deviation and surface alignments. The results reveal slight deviations in the structural dimension with a global average value of 9 mm.por
dc.description.sponsorshipThe authors would like to thank the financial support from: Base Funding—UIDB/04708/ 2020 and Programmatic Funding—UIDP/04708/2020 of the CONSTRUCT—“Instituto de I&D em Estruturas e Construções, as well as ISISE (UIDB/04029/2020) and ARISE (LA/P/0112/2020)”—funded by national funds through the FCT/MCTES (PIDDAC). Additionally, the support by the doctoral grant UI/BD/150970/2021 (to Rafael Cabral)—Portuguese Science Foundation, FCT/MCTES. Furthermore, this work is framed within the project “Intelligent structural condition assessment of existing steel railway bridges” financed by the bilateral agreement FCT-NAWA (2022-23), as well as project “FERROVIA 4.0”, with reference to POCI-01-0247-FEDER-046111, co-funded by the European Regional Development Fund (ERDF), through the Operational Program for Competitiveness and Internationalization (COMPETE 2020) and the Lisbon Regional Operational Program (LISBOA 2020), under the PORTUGAL 2020 Partnership Agreement, as well as “NEXUS: Innovation Pact Digital and Green Transition—Transports, Logistics and Mobility”, nr. C645112083-00000059, investment project nr. 53, financed by the Recovery and Resilience Plan (PRR) and by European Union—NextGeneration EU.por
dc.language.isoengpor
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)por
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04708%2F2020/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04708%2F2020/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04029%2F2020/PTpor
dc.relationLA/P/0112/2020por
dc.relationinfo:eu-repo/grantAgreement/FCT/POR_NORTE/UI%2FBD%2F150970%2F2021/PTpor
dc.relationPOCI-01-0247-FEDER-046111por
dc.relationC645112083-00000059por
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/por
dc.subjectReality capturepor
dc.subjectRailway bridgepor
dc.subjectLiDARpor
dc.subjectDronepor
dc.subjectPhotogrammetrypor
dc.subjectDeviationpor
dc.titleRailway bridge geometry assessment supported by cutting-edge reality capture technologies and 3D as-designed modelspor
dc.typearticlepor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://www.mdpi.com/2412-3811/8/7/114por
oaire.citationStartPage1por
oaire.citationEndPage18por
oaire.citationIssue7por
oaire.citationVolume8por
dc.date.updated2023-07-28T12:23:59Z-
dc.identifier.eissn2412-3811-
dc.identifier.doi10.3390/infrastructures8070114por
sdum.journalInfrastructurespor
oaire.versionVoRpor
dc.identifier.articlenumber114por
Aparece nas coleções:ISISE - Artigos em Revistas Internacionais

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
infrastructures-08-00114.pdf8,61 MBAdobe PDFVer/Abrir

Este trabalho está licenciado sob uma Licença Creative Commons Creative Commons

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID