Reducing the Training Samples for Damage Detection of Existing Buildings through Self-Space Approximation Techniques

Data-driven methodologies are among the most effective tools for damage detection of complex existing buildings, such as heritage structures. Indeed, the historical evolution and actual behaviour of these assets are often unknown, no physical models are available, and the assessment must be performe...

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Detalles Bibliográficos
Autores principales: Barontini, Alberto, Masciotta, Maria Giovanna, Amado-Mendes, Paulo, Ramos, Luís F., Lourenço, Paulo B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586983/
https://www.ncbi.nlm.nih.gov/pubmed/34770461
http://dx.doi.org/10.3390/s21217155

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586983/
https://www.ncbi.nlm.nih.gov/pubmed/34770461
http://dx.doi.org/10.3390/s21217155

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