Damage Identification of Railway Bridges through Temporal Autoregressive Modeling

The damage identification of railway bridges poses a formidable challenge given the large variability in the environmental and operational conditions that such structures are subjected to along their lifespan. To address this challenge, this paper proposes a novel damage identification approach expl...

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Detalles Bibliográficos
Autores principales: Anastasia, Stefano, García-Macías, Enrique, Ubertini, Filippo, Gattulli, Vincenzo, Ivorra, Salvador
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649709/
https://www.ncbi.nlm.nih.gov/pubmed/37960530
http://dx.doi.org/10.3390/s23218830

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649709/
https://www.ncbi.nlm.nih.gov/pubmed/37960530
http://dx.doi.org/10.3390/s23218830

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