PSI - Issue 84

Available online at www.sciencedirect.com

ScienceDirect

Procedia Structural Integrity 84 (2026) 41–48

© 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 The comparison provides a preliminary qualitative assessment of the relationship between experimental observations and numerical predictions, while also highlighting the influence of differences in structural configuration and modelling assumptions. In this sense, the proposed framework should be interpreted as a real-time DT platform for integrating geometry, sensing, and model-based analysis, and as a basis for future developments toward model updating, anomaly detection, and predictive maintenance in underground environments. Hall B of the Laboratori Nazionali del Gran Sasso (LNGS) is a large underground research facility operating under strict environmental and operational constraints. This study presents a real-time Digital Twin (DT) framework integrating high-fidelity geometric modelling, IoT-based multisensor monitoring, and near-real-time data processing. The geometric model is generated using LiDAR, SLAM, and photogrammetry and structured within an IFC-based environment. A distributed sensor network captures structural and environmental parameters, with data transmitted via MQTT to a centralized platform. Dynamic characterization is performed using frequency-domain analysis and stochastic subspace identification (SSI). The experimental results refer to measurements acquired within the COSINUS setup inside Hall B. These results are compared with numerical predictions obtained from a finite element model representing the LUNA experimental area. III Fabre Conference: Existing Bridges, Viaducts, and Tunnels: Research, Innovation, and Applications Real-Time Digital Twin for LNGS Hall B: Integrating Multisensor 3-D Capture, IoT Monitoring, and Predictive Analytics Vincenzo Gattulli 1, *, Marianna Crognale 1 , Dogan Karluklu 1 , Beatrice Mancini 1 , Francesco Potenza 2 1 Department of Structural and Geotechnical Engineering, University “La Sapienza”, Via Eudossiana 18, 00184 Rome, Italy 2 D INGEO, University “G. d’Annunzio” of Chieti-Pescara – Viale Pindaro 42, 65127 Pescara, Italy Abstract

* Corresponding author. Tel.:+39-06-4458198 E-mail address: vincenzo.gattulli@uniroma1.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.2026.06.006