Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/84726
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Tola, Sinem | por |
dc.contributor.author | Tinoco, Joaquim | por |
dc.contributor.author | Matos, José C. | por |
dc.contributor.author | Obrien, Eugene | por |
dc.date.accessioned | 2023-05-25T13:34:57Z | - |
dc.date.available | 2023-05-25T13:34:57Z | - |
dc.date.issued | 2023-01-28 | - |
dc.identifier.citation | Tola, S.; Tinoco, J.; Matos, J.C.; Obrien, E. Scour Detection with Monitoring Methods and Machine Learning Algorithms—A Critical Review. Appl. Sci. 2023, 13, 1661. https://doi.org/10.3390/app13031661 | por |
dc.identifier.uri | https://hdl.handle.net/1822/84726 | - |
dc.description.abstract | Foundation scour is a widespread reason for the collapse of bridges worldwide. However, assessing bridges is a complex task, which requires a comprehensive understanding of the phenomenon. This literature review first presents recent scour detection techniques and approaches. Direct and indirect monitoring and machine learning algorithm-based studies are investigated in detail in the following sections. The approaches, models, characteristics of data, and other input properties are outlined. The outcomes are given with their advantages and limitations. Finally, assessments are provided at the synthesis of the research. | por |
dc.description.sponsorship | This research was funded by FCT (Portuguese national funding agency for science, research, and technology)/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 trough the doctoral Grant 2021.06162.BD. This work has also been partly financed within the European Horizon 2020 Joint Technology Initiative Shift2Rail through contract no. 101012456 (IN2TRACK3). | por |
dc.language.iso | eng | por |
dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | por |
dc.relation | info:eu-repo/grantAgreement/FCT/POR_NORTE/2021.06162.BD/PT | por |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04029%2F2020/PT | por |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/101012456/EU | por |
dc.rights | openAccess | por |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | por |
dc.subject | Bridge scour | por |
dc.subject | Scour detection | por |
dc.subject | Scour monitoring | por |
dc.subject | Machine learning algorithms | por |
dc.title | Scour detection with monitoring methods and machine learning algorithms - a critical review | por |
dc.type | article | - |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://www.mdpi.com/2076-3417/13/3/1661 | por |
oaire.citationStartPage | 1 | por |
oaire.citationEndPage | 25 | por |
oaire.citationIssue | 3 | por |
oaire.citationVolume | 13 | por |
dc.identifier.eissn | 2076-3417 | por |
dc.identifier.doi | 10.3390/app13031661 | por |
dc.subject.fos | Engenharia e Tecnologia::Engenharia Civil | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Applied Sciences | por |
oaire.version | VoR | por |
dc.identifier.articlenumber | 1661 | por |
Aparece nas coleções: | ISISE - Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2023_[Sinem2023 - ApplSci] Scour Detection with Monitoring Methods and Machine Learning Algorithms - A Critical Review.pdf | Journal paper | 743,53 kB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons