PSI - Issue 84

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ScienceDirect

Procedia Structural Integrity 84 (2026) 1206–1213

© 2026 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Conference Keywords: Bridge Monitoring; Indirect Structural Health Monitoring; Drive-by Monitoring; Prototype Vehicle; Dynamic Identification. Abstract As part of the Italian National Centre for Sustainable Mobility (CN MOST), and specifically within Spoke 7 Work Package 4, "Resilience of Networks, Structural Health Monitoring and Asset Management", coordinated by Politecnico di Torino and Movyon S.p.A., a collaborative effort has been made to develop a novel instrumented vehicle for bridge monitoring (iBHM+). This initiative brought together industrial expertise and academic research to design and experimentally test an innovative mobile platform capable of acquiring multiple measurements, including dynamic data for indirect Bridge Structural Health Monitoring. In this regard, field tests have been conducted between January and March 2025. These tests were performed on several highway viaducts along the Tangenziale di Napoli (Ta.Na.) and on river-crossing bridges in and around Turin. This short contribution presents these experimental campaigns, showcasing the capabilities and limitations of current instrumentation and indicating future research directions. The results of all these field tests will be reported in future works. III Fabre Conference: Existing Bridges, Viaducts, and Tunnels: Research, Innovation, and Applications Indirect Bridge Structural Health Monitoring: introducing iBHM+, a novel prototype vehicle Marco Civera a, *, Eleonora Massarelli a , Mauro Aimar a , Marco Raimondi b , Samuele Mara c , Pierpaolo Dragonetti d , Dario Coletta d , Davide Chiola d , Benedetto Carambia d , Bernardino Chiaia a a Department of Structural, Geotechnical and Building Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Turin, Italy b Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy c Istituto Dalle Molle di Studi sull’intelligenza Artificiale, SUPSI, Via la Santa 1, CH-6962 Lugano-Viganello, Switzerland d Movyon, Autostrade per l'Italia S.p.A. - 50013 Limite, Italy

* Corresponding author. E-mail address: marco.civera@polito.it

2452-3216 © 2026 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Conference 10.1016/j.prostr.2026.06.154