Enhanced methodology for visual bridge inspections in South Africa

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dc.contributor.author Kemp, Lana
dc.contributor.author Steyn, Wynand Jacobus Van der Merwe
dc.contributor.author Roux, Michael
dc.date.accessioned 2023-01-18T05:57:11Z
dc.date.available 2023-01-18T05:57:11Z
dc.date.issued 2022-09
dc.description.abstract This paper introduces the application of technology solutions into the realm of bridge inspection methodologies in South Africa, aiming to enhance the current visual bridge inspection methodology. Unmanned Aerial Vehicles (UAVs) can be used as an alternative to collect bridge image data, and point cloud models can be created from captured images by using photogrammetry software. For this study, accredited bridge inspectors were approached to complete TMH 19 inspection sheets of bridge structures using only the point cloud models and captured images, as a proposed new inspection methodology. This paper compares historic inspection ratings and the point cloud inspection ratings to investigate the effectiveness and practicality of the new proposed inspection methodology. The study concluded that bridge inspectors could identify and rate critical defects of bridge structures using the new inspection methodology, but there are limitations and specific use cases that need to be identified. en_US
dc.description.department Civil Engineering en_US
dc.description.uri http://www.journals.co.za/ej/ejour_civileng.html en_US
dc.identifier.citation Kemp, L., Steyn, W. & Roux, M.P. Enhanced methodology for visual bridge inspections in South Africa. Journal of the South African Institution of Civil Engineering. 2022, vol. 64, no. 3, pp. 50-57. http://dx.doi.org/10.17159/2309-8775/2022/v64n3a6. en_US
dc.identifier.issn 1021-2020 (online)
dc.identifier.other 10.17159/2309-8775/2022/v64n3a6
dc.identifier.uri https://repository.up.ac.za/handle/2263/88869
dc.language.iso en en_US
dc.publisher South African Institution of Civil Engineering en_US
dc.rights All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License. en_US
dc.subject Visual bridge inspections en_US
dc.subject 4IR technology en_US
dc.subject Unmanned aerial vehicles (UAVs) en_US
dc.subject Point cloud models en_US
dc.title Enhanced methodology for visual bridge inspections in South Africa en_US
dc.type Article en_US


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