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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Autores principales: Alberto Barontini, Maria Giovanna Masciotta, Paulo Amado-Mendes, Luís F. Ramos, Paulo B. Lourenço
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/4aafa7908e6446418c67584c51d94c9e
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