Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/88890Registo completo
| Campo DC | Valor | Idioma |
|---|---|---|
| dc.contributor.author | Cabral, Rafael | por |
| dc.contributor.author | Oliveira, Rogério | por |
| dc.contributor.author | Ribeiro, Diogo | por |
| dc.contributor.author | Santos, Ricardo | por |
| dc.contributor.author | Azenha, Miguel | por |
| dc.contributor.author | Rakoczy, Anna | por |
| dc.contributor.author | Correia, José | por |
| dc.contributor.author | Tavares, João Manuel R. S. | por |
| dc.date.accessioned | 2024-02-21T10:08:35Z | - |
| dc.date.issued | 2023-07-10 | - |
| dc.identifier.isbn | 9780701702731 | por |
| dc.identifier.uri | https://hdl.handle.net/1822/88890 | - |
| dc.description.abstract | Structural visual inspection documentation is essential for monitoring, maintaining, rehabilitating, and reinforcing structures. Close-Range Photogrammetry (CRP) and Terrestrial Laser Scanners (TLS) are cutting-edge technologies that are commonly used in surveying. In this article, these technologies were integrated to capture a railway bridge. The lower deck and lateral deck surfaces were captured using TLS, while the upper deck, track and laterals of the deck were captured using CRP-UAV photogrammetry. Post-processing techniques allowed the fusion of TLS and CRP models to produce a precise 3D model of the entire railway bridge deck. | por |
| dc.description.sponsorship | The authors would like to thank the financially support by: 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 on the project “Intelligent structural condition assessment of existing steel railway bridges” financed by the bilateral agreement FCT-NAWA (2022-23). | por |
| dc.language.iso | eng | por |
| dc.publisher | International Council for Research and Innovation in Building and Construction (CIB) | por |
| dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04708%2F2020/PT | por |
| dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04708%2F2020/PT | por |
| dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04029%2F2020/PT | por |
| dc.relation | LA/P/0112/2020 | por |
| dc.relation | info:eu-repo/grantAgreement/FCT/POR_NORTE/UI%2FBD%2F150970%2F2021/PT | por |
| dc.rights | closedAccess | por |
| dc.title | Railway bridge condition assessment based on state-of-the-art reality capture technologies: application to a case study | por |
| dc.type | conferencePaper | por |
| dc.peerreviewed | yes | por |
| dc.relation.publisherversion | https://ec-3.org/publications/conference/paper/?id=EC32023_329 | por |
| oaire.citationConferenceDate | 10 - 12 July 2023 | por |
| sdum.event.title | 40th International CIB W78 Conference | por |
| sdum.event.type | conference | por |
| oaire.citationConferencePlace | Crete, Greece | por |
| dc.identifier.doi | 10.35490/EC3.2023.329 | por |
| dc.date.embargo | 10000-01-01 | - |
| sdum.conferencePublication | Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference | por |
| Aparece nas coleções: | ISISE - Comunicações a Conferências Internacionais | |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| Railway bridge.pdf Acesso restrito! | 1,44 MB | Adobe PDF | Ver/Abrir |
