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Raffaele Malvermi

2 accepted papers

2022

On the Prediction of the Frequency Response of a Wooden Plate from Its Mechanical Parameters

ICASSP 2022accepted

Inspired by deep learning applications in structural mechanics, we focus on how to train two predictors to model the relation between the vibrational response of a prescribed point of a wooden plate and its material properties. In particular, the eigenfrequencies of the plate are estimated via multi…

Cited by 0SourceScholar
2021

Interpolation of Irregularly Sampled Frequency Response Functions Using Convolutional Neural Networks

ICASSP 2021accepted

In the field of structural mechanics, classical methods for the vibrational characterization of objects exploit the inherent redundancy of a relevant amount of measurements acquired over regular sampling grids. However, there are cases in which parts of the objects under analysis are not accessible…

Cited by 0SourceScholar