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Towards Video-Based System Identification and Finite Element Model Updating of Civil Structures and Infrastructures

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European Workshop on Structural Health Monitoring (EWSHM 2022)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 270))

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Abstract

Computer Vision in general and Phase-Based Motion Magnification (PBMM) in particular have been proved in recent years to be feasible and practical for the structural integrity assessment of simple laboratory models under controlled environment conditions. This technique has been partially tested for outdoor applications under natural illumination. In this paper, the potentialities of these enabling technologies for on-site surveying are highlighted, especially focussing on typical applications for Civil Engineering. These include two case studies, both of relevant interest due to their structural peculiarities: a 400+ meters high skyscraper and a concrete highway bridge. Advantages and limitations for both these applications are highlighted. The comments are then extended from these particular cases to some broader considerations valid for other structures and infrastructures.

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Correspondence to Marco Civera .

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Civera, M., Parol, J. (2023). Towards Video-Based System Identification and Finite Element Model Updating of Civil Structures and Infrastructures. In: Rizzo, P., Milazzo, A. (eds) European Workshop on Structural Health Monitoring. EWSHM 2022. Lecture Notes in Civil Engineering, vol 270. Springer, Cham. https://doi.org/10.1007/978-3-031-07322-9_84

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  • DOI: https://doi.org/10.1007/978-3-031-07322-9_84

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  • Print ISBN: 978-3-031-07321-2

  • Online ISBN: 978-3-031-07322-9

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