Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/87899
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Campo DC | Valor | Idioma |
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dc.contributor.author | Mohammadi, Amir Hossein | por |
dc.contributor.author | Barros, Joaquim A. O. | por |
dc.contributor.author | Sena-Cruz, José | por |
dc.date.accessioned | 2024-01-03T13:42:10Z | - |
dc.date.available | 2024-01-03T13:42:10Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Mohammadi, A., Barros, J. A. O., & Sena-Cruz, J. (2023, September). A new model for predicting the shear strength of RC beams strengthened with externally bonded FRP sheets. Composite Structures. Elsevier BV. http://doi.org/10.1016/j.compstruct.2023.117081 | - |
dc.identifier.issn | 0263-8223 | por |
dc.identifier.uri | https://hdl.handle.net/1822/87899 | - |
dc.description.abstract | Externally bonded fibre reinforced polymer (FRP) reinforcements have been widely used for upgrading the shear resistance of reinforced concrete (RC) structures. This technique has been widely studied and numerous analytical models currently exist to predict the contribution of FRP for the shear resistance of RC beams. In this study, some of the most well-known models recommended in guidelines (including fib bulletin 90, CNR-DT 200 R1/2013, and ACI 440.2R-17) are selected, and their predictive performance are assessed using a large database of 344 beams compiled from published works. In addition, this study introduces a novel model that accounts for a missing influential predictive component in the existing models, namely the ratio of existing steel stirrups. The comparison of the results obtained with this model and those from the current models demonstrates the best predictive performance of the new one. | por |
dc.description.sponsorship | This work is financed by national funds through FCT - Foundation for Science and Technology, under grant agreement 2020.08876.BD attributed to the first author. The authors also acknowledge the financial support provided by ANI through the project Sticker – Innovative technique for the structural strengthening based on using CFRP laminates with multifunctional attributes and applied with advanced cement adhesives, with reference POCI-01-0247-FEDER-039755. This work was partly financed by FCT/MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Structural Engineering (ISISE), under reference UIDB/04029/2020, and under the Associate Laboratory Advanced Production and Intelligent Systems ARISE under reference LA/P/0112/2020. | por |
dc.language.iso | eng | por |
dc.publisher | Elsevier 1 | por |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04029%2F2020/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/POR_NORTE/2020.08876.BD/PT | por |
dc.rights | openAccess | por |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | por |
dc.subject | Analytical model | por |
dc.subject | Shear strengthening | por |
dc.subject | Reinforced concrete beams | por |
dc.subject | Externally bonded | por |
dc.subject | FRP | por |
dc.subject | Design guidelines | por |
dc.title | A new model for predicting the shear strength of RC beams strengthened with externally bonded FRP sheets | por |
dc.type | article | - |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0263822323004257 | por |
oaire.citationStartPage | 1 | por |
oaire.citationEndPage | 13 | por |
oaire.citationVolume | 319 | por |
dc.identifier.eissn | 1879-1085 | por |
dc.identifier.doi | 10.1016/j.compstruct.2023.117081 | por |
dc.subject.fos | Engenharia e Tecnologia::Engenharia Civil | por |
sdum.journal | Composite Structures | por |
oaire.version | VoR | por |
dc.identifier.articlenumber | 117081 | por |
dc.subject.ods | Indústria, inovação e infraestruturas | por |
Aparece nas coleções: | ISISE - Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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1-s2.0-S0263822323004257-main.pdf | Published version | 3,82 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons