Structural Health Monitoring of a steel truss railway bridge studying its low frequency response

• Published in: ce/papers 2023-09, Vol.6 (5), p.876-885
• Main Authors: Radicioni, Luca, Bernardini, Lorenzo, Bono, Francesco Morgan, Anghileri, Mattia, Capacci, Luca, Cazzulani, Gabriele, Somaschini, Claudio, Pande, Aniket Ketan, Biondini, Fabio, Cinquemani, Simone, Belloli, Marco
• Format: Article
• Language: English
• Subjects: Anomaly Detection; Bridges; Finite Element Methods; Regression Methods; Structural Health Monitoring
• ISSN: 2509-7075; 2509-7075
• DOI: 10.1002/cepa.2184

In the framework of direct Structural Health Monitoring approaches, this paper presents a low frequency range analysis performed on a steel truss bridge designed in 1946 and built up in Northern Italy. The bridge is instrumented with a permanent structural health monitoring system, that guarantees a continuous flux of data and information from a heterogeneous set of sensors. In this analysis, static and quasistatic bridge responses are considered. These experimental data are merged with the analogous outputs obtained from numerical simulations, performed on FE models representative of the actual bridge, with the purpose of identifying damage‐sensitive indexes. Simulations are performed considering the healthy structure and modelling different damage scenarios. The static analysis consists in the construction of a regressive model able to estimate sensor output responses starting from environmental measurements, with the primary purpose to reduce the effect of temperature over measured static response. This procedure allows to relate the damages simulated by means of a numerical model with the real data, so that the monitoring rules can effectively defined.