Iris Koltsida
The use of digital image correlation technique for monitoring masonry arch bridges
Koltsida, Iris; Tomor, Adrienn; Booth, Colin
Authors
Abstract
Non-destructive monitoring of the infrastructure is becoming an increasingly important issue for asset management. Masonry arch bridges represent around 40% of the European bridge stock, many of them over 100 years old and in increasing need for maintenance. Condition assessment of masonry arch bridges relies largely on visual observation, although a range of non-destructive techniques (NDT) are available for monitoring their condition and performance. Identifying deterioration and changes in the structure’s behaviour under working loads would be of great help to prevent critical damage. While most NDT techniques require direct access to the structure and can be labour-intensive, Digital Image Correlation (DIC) technique offers a low-cost optical solution that allows surface displacement, stress and strain distribution to be recorded without any contact with the structure. Digital Image Correlation is increasingly widely used for civil infrastructure, but its use for masonry arch bridges is currently rather limited. The paper demonstrates the use of Digital Image Correlation technique under laboratory conditions for small-scale masonry specimens and under field conditions for a masonry arch railway bridge under traffic loading.
Presentation Conference Type | Conference Paper (unpublished) |
---|---|
Conference Name | 7th International Conference on Arch Bridges |
Start Date | Oct 2, 2013 |
End Date | Oct 4, 2013 |
Publication Date | Oct 4, 2013 |
Deposit Date | Sep 14, 2015 |
Publicly Available Date | Oct 17, 2016 |
Peer Reviewed | Peer Reviewed |
Keywords | digital image correlation, NDT, monitoring, masonry arch bridges, crack propagation |
Public URL | https://uwe-repository.worktribe.com/output/926944 |
Publisher URL | http://master.grad.hr/arch/index.html |
Additional Information | Title of Conference or Conference Proceedings : ARCH 13 |
Contract Date | Oct 17, 2016 |
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