PSI - Issue 62

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

www.elsevier.com/locate/procedia

www.elsevier.com/locate/procedia

Procedia Structural Integrity 62 (2024) 193–200

II Fabre Conference – Existing bridges, viaducts and tunnels: research, innovation and applications (FABRE24) UAV photogrammetry and laser scanning of bridges: a new methodology and its application to a case study Matteo Castellani a, *, Meoni A. a , García-Macías E. b , Antonini F. c , Ubertini F. a a Department of Civil and Enviromental Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia (PG), Italy b Department of Structural Mechanics and Hydraulic Engineering, University of Granada, Av. Fuentenueva sn 18002, Granada, Spain. c Eagleprojects S.P.A., Strada San Galigano, 12/A, 06125 Perugia (PG), Italy Abstract The state of preservation of infrastructures, such as bridges and viaducts, plays a crucial role in the economic development of a country. To this aim, a multi-level knowledge-based approach providing guidance on several aspects included in the management of large bridge inventories is utterly needed. In particular, the knowledge of bridge geometry, construction details, and structural defectiveness is of pivotal importance. Accordingly, methodologies to achieve the systematic collection of this information should be investigated and tested in practical applications. This paper presents a new methodology for surveying reinforced concrete box girder bridges using UAV photogrammetry and laser scanning. The proposed methodology is based on the adoption of predefined trajectories to accelerate surveying procedures and achieve high-quality results. The use of UAV photogrammetry allows for capturing high-resolution images of the entire structure, structural flaws included, while laser scanning provides measurements of geometric details. By integrating the data acquired, an accurate 3D digital twin of the bridge can be obtained, and its structural defects can be assessed. A comparison between the employed technologies is also proposed. Although UAV photogrammetry is slightly less precise than laser scanning in detecting geometries and construction details, it offers a more cost-effective and faster alternative to traditional laser scanning, primarily due to its accessibility in the field, without compromising the quality and reliability of the collected data. The proposed methodology has been applied on a case study reinforced concrete box girder bridge located in central Italy. The obtained results highlight the effectiveness of the proposed approach for the systematic collection of essential data for the knowledge of the assets and suggest that UAV photogrammetry can almost replace traditional laser scanning of bridges within the structural risk assessment process. II Fabre Conference – Existing bridges, viaducts and tunnels: research, innovation and applications (FABRE24) UAV photogrammetry and laser scanning of bridges: a new methodology and its application to a case study Matteo Castellani a, *, Meoni A. a , García-Macías E. b , Antonini F. c , Ubertini F. a a Department of Civil and Enviromental Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia (PG), Italy b Department of Structural Mechanics and Hydraulic Engineering, University of Granada, Av. Fuentenueva sn 18002, Granada, Spain. c Eagleprojects S.P.A., Strada San Galigano, 12/A, 06125 Perugia (PG), Italy Abstract The state of preservation of infrastructures, such as bridges and viaducts, plays a crucial role in the economic development of a country. To this aim, a multi-level knowledge-based approach providing guidance on several aspects included in the management of large bridge inventories is utterly needed. In particular, the knowledge of bridge geometry, construction details, and structural defectiveness is of pivotal importance. Accordingly, methodologies to achieve the systematic collection of this information should be investigated and tested in practical applications. This paper presents a new methodology for surveying reinforced concrete box girder bridges using UAV photogrammetry and laser scanning. The proposed methodology is based on the adoption of predefined trajectories to accelerate surveying procedures and achieve high-quality results. The use of UAV photogrammetry allows for capturing high-resolution images of the entire structure, structural flaws included, while laser scanning provides measurements of geometric details. By integrating the data acquired, an accurate 3D digital twin of the bridge can be obtained, and its structural defects can be assessed. A comparison between the employed technologies is also proposed. Although UAV photogrammetry is slightly less precise than laser scanning in detecting geometries and construction details, it offers a more cost-effective and faster alternative to traditional laser scanning, primarily due to its accessibility in the field, without compromising the quality and reliability of the collected data. The proposed methodology has been applied on a case study reinforced concrete box girder bridge located in central Italy. The obtained results highlight the effectiveness of the proposed approach for the systematic collection of essential data for the knowledge of the assets and suggest that UAV photogrammetry can almost replace traditional laser scanning of bridges within the structural risk assessment process. Keywords: Unmanned Aerial Vehicle; Terrestrial Laser Scanner; Points Cloud; Risk assessment; Digital twin. © 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: Unmanned Aerial Vehicle; Terrestrial Laser Scanner; Points Cloud; Risk assessment; Digital twin.

* Corresponding author. Tel.: +39-075-5853996 E-mail address: matteo.castellani1@studenti.unipg.it * Corresponding author. Tel.: +39-075-5853996 E-mail address: matteo.castellani1@studenti.unipg.it

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.2024.09.033 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