Detection, Localization, and Quantification of Damage in Structures via Artificial Neural Networks

This paper presents a structural health monitoring method based on artificial neural networks (ANNs) capable of detecting, locating, and quantifying damage in a single stage. The proposed framework employs a supervised neural network model that uses input factors calculated by modal parameters (natu...

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Hlavní autoři:	Daniele Kauctz Monteiro, Letícia Fleck Fadel Miguel, Gustavo Zeni, Tiago Becker, Giovanni Souza de Andrade, Rodrigo Rodrigues de Barros
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2023-01-01
Edice:	Shock and Vibration
On-line přístup:	http://dx.doi.org/10.1155/2023/8829298
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