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Akademický článek

SURVEY, DIAGNOSTICS, MONITORING METHODOLOGY AND DIGITAL TWIN FOR THE CONSERVATION OF THE FACADE OF THE CHURCH OF SANTA MARIA DI NAZARETH IN VENICE

Autor: I. Rocca, I. Forti, G. D’Acunto, A. Saetta

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-2-2023, Pp 1331-1336 (2023)

This contribution aims to illustrate the experimental research linked to the restoration concluded in 2018 for the conservation of the façade of the Santa Maria di Nazareth church in Venice and the ongoing monitoring methodology for the evaluation o

Externí odkaz: https://doaj.org/article/5d62942bb96e4a2085be2a623e59e6a7

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Akademický článek

SURVEY METHODS FOR SEISMIC VULNERABILITY ASSESSMENT OF HISTORICAL MASONRY BUILDINGS

Autor: M. Ballarin, C. Balletti, P. Faccio, F. Guerra, A. Saetta, P. Vernier

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-5-W1, Pp 55-59 (2017)

On 20th and 29th of May 2012, two powerful earthquakes struck northern Italy. The epicentres were recorded respectively in Finale Emilia (magnitude 5.9 Ml) and Medolla (magnitude 5.8 Ml) in the province of Modena, though the earthquake was formed by

Externí odkaz: https://doaj.org/article/17144429eeec46d798ec5f126e65b4da

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Machine Learning to Predict Aerodynamic Stall

Autor: Saetta, Ettore, Tognaccini, Renato, Iaccarino, Gianluca

A convolutional autoencoder is trained using a database of airfoil aerodynamic simulations and assessed in terms of overall accuracy and interpretability. The goal is to predict the stall and to investigate the ability of the autoencoder to distingui

Externí odkaz: http://arxiv.org/abs/2207.03424