PSI - Issue 59

Available online at www.sciencedirect.com Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2023) 000 – 000 Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2023) 000 – 000

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ScienceDirect

Procedia Structural Integrity 59 (2024) 43–49

© 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 DMDP 2023 Organizers © 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 DMDP 2023 Organizers Abstract This article explores advances in non-destructive testing (NDT) through the integration of unmanned aerial vehicles (UAVs) for remote inspection of large structures. Focusing on the damaged Kyiv TV tower, the study employs high-resolution UAV to detect defects, ranging from fragment penetrations to cracks and dents. Determining defects using a UAV allows assessing them by size and type. Utilizing photogrammetry, a 3D model of the tower is constructed, aiding in the identification of defective areas. The results inform repair and restoration recommendations. The integration of traditional NDT methods with innovative technologies, like UAVs and photogrammetry, proves to significantly expedite safety assessments for large constructions. © 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 DMDP 2023 Organizers VII International Conference “In -service Damage of Materials: Diagnostics and Prediction ” (DMDP 2023) Damage detection and analysis using unmanned aerial vehicles (UAVs) and photogrammetry method Leonid Lobanov, Dmytro Stelmakh*, Viktor Savitsky, Vitalii Diadin, Oleksii Shutkevych, Inna Shkurat E.O. Paton Electric Welding Institute (PWI), 11, Kazymyr Malevych St., Kyiv 03150, Ukraine Abstract This article explores advances in non-destructive testing (NDT) through the integration of unmanned aerial vehicles (UAVs) for remote inspection of large structures. Focusing on the damaged Kyiv TV tower, the study employs high-resolution UAV to detect defects, ranging from fragment penetrations to cracks and dents. Determining defects using a UAV allows assessing them by size and type. Utilizing photogrammetry, a 3D model of the tower is constructed, aiding in the identification of defective areas. The results inform repair and restoration recommendations. The integration of traditional NDT methods with innovative technologies, like UAVs and photogrammetry, proves to significantly expedite safety assessments for large constructions. VII International Conference “In -service Damage of Materials: Diagnostics and Prediction ” (DMDP 2023) Damage detection and analysis using unmanned aerial vehicles (UAVs) and photogrammetry method Leonid Lobanov, Dmytro Stelmakh*, Viktor Savitsky, Vitalii Diadin, Oleksii Shutkevych, Inna Shkurat E.O. Paton Electric Welding Institute (PWI), 11, Kazymyr Malevych St., Kyiv 03150, Ukraine Keywords: unmanned aerial vehicles (UAVs); photogrammetry; large-sized structures; 3D-models; technical diagnostics; defects. Keywords: unmanned aerial vehicles (UAVs); photogrammetry; large-sized structures; 3D-models; technical diagnostics; defects. 1. Introduction Non-destructive testing is at a high technical level now, owing to automation of manual processes in order to increase the efficiency, accuracy and objectivity of control. One of the new directions of structure diagnostics is 1. Introduction Non-destructive testing is at a high technical level now, owing to automation of manual processes in order to increase the efficiency, accuracy and objectivity of control. One of the new directions of structure diagnostics is

* Corresponding author. Tel.: +30982818768 E-mail address: d.stelmax1996@gmail.com * Corresponding author. Tel.: +30982818768 E-mail address: d.stelmax1996@gmail.com

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 DMDP 2023 Organizers 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 DMDP 2023 Organizers

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 DMDP 2023 Organizers 10.1016/j.prostr.2024.04.008