Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/85689
Título: | Structural assessment based on vibration measurement test combined with an artificial neural network for the steel truss bridge |
Autor(es): | Minh, Tran Quang Sousa, Hélder S. Ngo, Thuc V. Nguyen, Binh D. Quyen, Nguyen-Trong Nguyen, Huan X. Corredor, Edward Alexis Baron Matos, José C. Son, Dang Ngoc |
Palavras-chave: | ANN FEM Damage assessment Structural health monitoring Steel truss bridge |
Data: | 2023 |
Editora: | Multidisciplinary Digital Publishing Institute (MDPI) |
Revista: | Applied Sciences |
Citação: | Tran, M.Q.; Sousa, H.S.; Ngo, T.V.; Nguyen, B.D.; Nguyen, Q.T.; Nguyen, H.X.; Baron, E.; Matos, J.; Dang, S.N. Structural Assessment Based on Vibration Measurement Test Combined with an Artificial Neural Network for the Steel Truss Bridge. Appl. Sci. 2023, 13, 7484. https://doi.org/10.3390/app13137484 |
Resumo(s): | Damage assessment is one of the most crucial issues for bridge engineers during the operational and maintenance phase, especially for existing steel bridges. Among several methodologies, the vibration measurement test is a typical approach, in which the natural frequency variation of the structure is monitored to detect the existence of damage. However, locating and quantifying the damage is still a big challenge for this method, due to the required human resources and logistics involved. In this regard, an artificial intelligence (AI)-based approach seems to be a potential way of overcoming such obstacles. This study deployed a comprehensive campaign to determine all the dynamic parameters of a predamaged steel truss bridge structure. Based on the results for mode shape, natural frequency, and damping ratio, a finite element model (FEM) was created and updated. The artificial intelligence network’s input data from the damage cases were then analysed and evaluated. The trained artificial neural network model was curated and evaluated to confirm the approach’s feasibility. During the actual operational stage of the steel truss bridge, this damage assessment system showed good performance, in terms of monitoring the structural behaviour of the bridge under some unexpected accidents. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/85689 |
DOI: | 10.3390/app13137484 |
e-ISSN: | 2076-3417 |
Versão da editora: | https://www.mdpi.com/2076-3417/13/13/7484 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | DET/2C2T - Artigos em revistas internacionais com arbitragem científica ISISE - Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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applsci-13-07484-v2.pdf | 12,9 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons