Assessment of bridges using dynamic monitoring and sparse autoencoders

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Authors: Marco Pirrò, Carmelo Gentile
Cited by: 0

Abstract

Dynamic monitoring of bridges and structures, complemented by the automation of operational modal analysis (OMA), represents a well-known strategy in structural health monitoring (SHM), mainly based on the correlation between modal and structural parameters. However, modal parameters are sensitive not only to mass and stiffness changes but also to environmental and operational variability (EOV). As environmental and operational factors can significantly influence modal parameters, it is crucial to mitigate the effects of EOV to avoid false positives when detecting structural anomalies and changes.

Fields of Study & Subjects

Structural Health Monitoring Techniques Infrastructure Maintenance and Monitoring Structural Engineering and Vibration Analysis

Publication details

Journal / source
CRC Press eBooks
Pages
132–150
Publication date
16 February 2026
Language
EN
Document type
Book chapter