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

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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Bibliographic Details
Main Authors: Daniele Kauctz Monteiro, Letícia Fleck Fadel Miguel, Gustavo Zeni, Tiago Becker, Giovanni Souza de Andrade, Rodrigo Rodrigues de Barros
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2023/8829298
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