Abstract
In this paper a framework for the rapid seismic risk assessment of bridges using aerial surveys using Unmanned Aerial Systems is presented. The acquisition process to obtain data for the photogrammetric 3d reconstruction and the procedure for the automatic extraction of the visible variables using computer vision are described. The extracted features are combined with standardized structural information to obtain the structure’s capacity model and perform a seismic risk assessment. A case study of a highway simple supported bridge is presented to validate the 3d model reconstruction and the results of the structural analysis.
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Acknowledgments
ReLUIS 2019–2021 project, research line 4, is acknowledged for the financial support given to the present research. This work has been partially supported by the Zhejiang University/University of Illinois at Urbana-Champaign Institute.
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Barrile, V., Candela, G., Demartino, C., Monti, G., Bernardo, E., Bilotta, G. (2022). Rapid Seismic Risk Assessment of Bridges Using UAV Aerial Photogrammetric Survey. In: Borgogno-Mondino, E., Zamperlin, P. (eds) Geomatics for Green and Digital Transition. ASITA 2022. Communications in Computer and Information Science, vol 1651. Springer, Cham. https://doi.org/10.1007/978-3-031-17439-1_26
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DOI: https://doi.org/10.1007/978-3-031-17439-1_26
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