A Multi-Fidelity Deep Neural Network Approach to Structural Health Monitoring

A Multi-Fidelity Deep Neural Network Approach to Structural Health Monitoring

The structural health monitoring (SHM) of civil structures and infrastructures is becoming a crucial issue in our smart and hyper-connected age. Due to structural aging and to unexpected loading conditions, partially linked to extreme events caused by the climate change, reliable and real-time SHM s...

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Bibliographic Details
Main Authors: Matteo Torzoni, Andrea Manzoni, Stefano Mariani
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Engineering Proceedings
Subjects:
structural health monitoring
Markov chain Monte Carlo
deep learning
multi-fidelity methods
damage identification
Bayesian model updating
Online Access:https://www.mdpi.com/2673-4591/27/1/60

Internet

https://www.mdpi.com/2673-4591/27/1/60

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