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Proceedings Paper

Classification of corrosion risk zones using GIS
Author(s): Nikolas Georgiou; Constantina Anastasiou; Elia A. Tantele; Renos A. Votsis; Chris Danezis
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Paper Abstract

Corrosion of steel reinforcement is the major deterioration factor of the RC infrastructures. Several factors are contributing towards increasing the corrosion risk like the exposure and environmental conditions which are a function of the geographical location of the infrastructure. Information for these conditions and their affected areas can be proved valuable at design stage and/or during maintenance planning. This study aims to relate corrosion risk of RC infrastructures with their geographical location. The corrosion risk is quantified through data from NDT methods and subsequently correlated with its location. Therefore high risk areas with structures prone to corrosion deterioration are identified. The latter is implemented via GIS tools in order to create maps that describe how corrosion risk is related to the location of each structure. Two GIS methods are suggested, the grid system and the use of classified areas. Corrosion data has been collected from labs about various constructions in Cyprus and used in conjunction with GIS tools to provide useful information on corrosion identification. The outcome is a digitized map of the Limassol area which indicates the risks levels associated with corrosion of the steel reinforcement.

Paper Details

Date Published: 12 August 2016
PDF: 7 pages
Proc. SPIE 9688, Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), 968825 (12 August 2016); doi: 10.1117/12.2239553
Show Author Affiliations
Nikolas Georgiou, Cyprus Univ. of Technology (Cyprus)
Constantina Anastasiou, Cyprus Univ. of Technology (Cyprus)
Elia A. Tantele, Cyprus Univ. of Technology (Cyprus)
Renos A. Votsis, Cyprus Univ. of Technology (Cyprus)
Chris Danezis, Cyprus Univ. of Technology (Cyprus)


Published in SPIE Proceedings Vol. 9688:
Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016)
Kyriacos Themistocleous; Diofantos G. Hadjimitsis; Silas Michaelides; Giorgos Papadavid, Editor(s)

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