PSI - Issue 84

Available online at www.sciencedirect.com

ScienceDirect

Procedia Structural Integrity 84 (2026) 360–367

© 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: AI, digital twins, IoT, maintenance Abstract Faced with the current critical issues in infrastructure management and maintenance – linked to ageing, structural complexity and the limitations of traditional inspection techniques – this study proposes a systemic and innovative approach based on the integration of advanced digital technologies. The research develops a methodology that combines Building Information Modelling (BIM), the Internet of Things (IoT) and Machine Learning (ML), with the aim of enabling predictive and dynamic infrastructure management through the creation of Digital Twins. The methodology is applied to two case studies of bridges in Italy, currently under monitoring. The implementation focuses on the initial stages of the process: digital modelling of the structures (with the creation of BIM models containing static data), installation of sensors for real-time collection of dynamic data, and integration of information for the generation of an operational Digital Twin. This unified model allows both the management of alert systems based on predefined thresholds and the processing of in-depth structural diagnoses to support maintenance planning. The proposed methodology also represents a strategic step towards the development of advanced predictive models, promoting a more proactive, efficient and sustainable approach to maintenance. 1. Introduction The progressive aging of transport infrastructure represents a major critical issue for the safety and sustainability of mobility systems in industrialized countries. Bridges and viaducts, in particular, constitute a strategic component III Fabre Conference: Existing Bridges, Viaducts, and Tunnels: Research, Innovation, and Applications Integration of Digital Twins into structural monitoring systems for viaducts: the new frontier of control ªEnrico Pasquale Zitiello,ªFrancesca Porcellini, ªAntonio Salzano, ªMaurizio Nicolella* ªDepartment of Civil, Architectural and Environmental Engineering, University of Naples Federico II, 80125 Naples, Italy

* Enrico Pasquale Zitiello. Tel.: +39 331 2518338 E-mail address: enricopasquale.zitiello@unina.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.2026.06.047