Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/84726
Título: | Scour detection with monitoring methods and machine learning algorithms - a critical review |
Autor(es): | Tola, Sinem Tinoco, Joaquim Matos, José C. Obrien, Eugene |
Palavras-chave: | Bridge scour Scour detection Scour monitoring Machine learning algorithms |
Data: | 28-Jan-2023 |
Editora: | Multidisciplinary Digital Publishing Institute (MDPI) |
Revista: | Applied Sciences |
Citação: | 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 |
Resumo(s): | 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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/84726 |
DOI: | 10.3390/app13031661 |
e-ISSN: | 2076-3417 |
Versão da editora: | https://www.mdpi.com/2076-3417/13/3/1661 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
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