PSI - Issue 62

Available online at www.sciencedirect.com Structural Integrity Procedia 00 (2022) 000 – 000 Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2022) 000 – 000 ScienceDirect

www.elsevier.com/locate/procedia

www.elsevier.com/locate/procedia

ScienceDirect

Procedia Structural Integrity 62 (2024) 1128–1136

II Fabre Conference – Existing bridges, viaducts and tunnels: research, innovation and applications (FABRE24) Reverse engineering for robust maintenance strategy: the case of the Mont Blanc tunnel Salvatore Aiello a , Georgios Kalamaras b , Daniele Peila c , Bernardino Chiaia a a Politecnico di Torino, DISEG, Dipartimento di Ingegneria Strutturale, Edile e Geotecnica, Corso Duca Degli Abruzzi, 24, Turin 10128, Italy b Ak Ingegneria Geotecnica Srl, Corso Bernardino Telesio, 99,Turin 10146, Italy c Politecnico di Torino, DIATI, Dipartimento di Ingegneria dell'Ambiente, del Territorio e delle Infrastrutture, Corso Duca Degli Abruzzi, 24, Turin 10128, Italy Abstract The safety and durability of underground tunnels depend on their careful inspection and maintenance, but the information on their design and construction is often limited or inaccessible due to their age. This paper presents a case study of the Mont Blanc tunnel, where reverse engineering was applied to support the decision-making phase of tunnel inspection and maintenance. Reverse engineering is a technique in which an existing structure is analyzed in detail to derive its unique properties and parameters from collected data. It has been widely applied in various fields and disciplines, such as software engineering, mechanical engineering, and biomedical engineering. However, the use of reverse engineering in tunnel inspection and maintenance is still limited and challenging, especially when the information on tunnel design and construction is unavailable or incomplete. In the present work, this technique was used to estimate the threshold values for a feasible monitoring system based on the compressive strength of the concrete lining, which established the limits for a continuous monitoring system. Moreover, algorithms and synoptic tables were developed creating a synergy between reverse engineering and the inspection results performed inside the tunnel. This integrated approach not only enhanced the effectiveness of the monitoring system, but also provided a solid foundation for future research and applications in the field of tunnel maintenance and inspection. © 2024 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 Scientific Board Members II Fabre Conference – Existing bridges, viaducts and tunnels: research, innovation and applications (FABRE24) Reverse engineering for robust maintenance strategy: the case of the Mont Blanc tunnel Salvatore Aiello a , Georgios Kalamaras b , Daniele Peila c , Bernardino Chiaia a a Politecnico di Torino, DISEG, Dipartimento di Ingegneria Strutturale, Edile e Geotecnica, Corso Duca Degli Abruzzi, 24, Turin 10128, Italy b Ak Ingegneria Geotecnica Srl, Corso Bernardino Telesio, 99,Turin 10146, Italy c Politecnico di Torino, DIATI, Dipartimento di Ingegneria dell'Ambiente, del Territorio e delle Infrastrutture, Corso Duca Degli Abruzzi, 24, Turin 10128, Italy Abstract The safety and durability of underground tunnels depend on their careful inspection and maintenance, but the information on their design and construction is often limited or inaccessible due to their age. This paper presents a case study of the Mont Blanc tunnel, where reverse engineering was applied to support the decision-making phase of tunnel inspection and maintenance. Reverse engineering is a technique in which an existing structure is analyzed in detail to derive its unique properties and parameters from collected data. It has been widely applied in various fields and disciplines, such as software engineering, mechanical engineering, and biomedical engineering. However, the use of reverse engineering in tunnel inspection and maintenance is still limited and challenging, especially when the information on tunnel design and construction is unavailable or incomplete. In the present work, this technique was used to estimate the threshold values for a feasible monitoring system based on the compressive strength of the concrete lining, which established the limits for a continuous monitoring system. Moreover, algorithms and synoptic tables were developed creating a synergy between reverse engineering and the inspection results performed inside the tunnel. This integrated approach not only enhanced the effectiveness of the monitoring system, but also provided a solid foundation for future research and applications in the field of tunnel maintenance and inspection. © 2024 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 Scientific Board Members © 2024 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 Scientific Board Members

Keywords: Reverse engineering, Tunnels, Maintenance, Robust strategy

Keywords: Reverse engineering, Tunnels, Maintenance, Robust strategy

2452-3216 © 2024 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 Scientific Board Member s 2452-3216 © 2024 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 Scientific Board Member s

2452-3216 © 2024 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 Scientific Board Members 10.1016/j.prostr.2024.09.149

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