Assessment of efficiency of air abrasive cleaning on masonry stones and bricks using greyscale Imaging analysis.

Reza, Humayun; Zhang, Binsheng; Gupta, Naren K

Abstract

Advanced greyscale imaging analysis was
conducted using Adobe Photoshop 6 on the surfaces of masonry
stones and clay bricks, taken from old buildings, to accurately
assess the efficiency of building cleaning. Five commonly used
masonry stones and clay bricks for those buildings were selected,
and seven abrasives were adopted for air abrasive (sandblasting)
cleaning. Also the reductions in thickness were continuously
monitored for assessing the cleaning efficiency. The cleaning
degree at different stages was assessed using greyscale image
photos, converted from original colour ones, together with
reductions in thickness. In general, greyscale continuously
increased with the cleaning time and tended to be stable when the
surface became fully cleaned. Thickness reduction monotonically
increased with the cleaning time. The most efficient building
cleaning case would be the one with the shortest cleaning time
and smallest thickness reduction. The harder abrasives with
smaller particles sizes were confirmed to be more effective

Citation

Reza, H., Zhang, B., & Gupta, N. K. (2015, April). Assessment of efficiency of air abrasive cleaning on masonry stones and bricks using greyscale Imaging analysis. Presented at Second Intl. Conf. on Advances in Civil, Structural and Construction Engineering

• Presentation Conference Type: Conference Paper (published)
• Conference Name: Second Intl. Conf. on Advances in Civil, Structural and Construction Engineering
• Start Date: Apr 18, 2015
• End Date: Apr 19, 2015
• Publication Date: 2015
• Deposit Date: Jan 14, 2016
• Publicly Available Date: Jan 14, 2016
• Peer Reviewed: Peer Reviewed
• Book Title: Proc. of the Second Intl. Conf. on Advances in Civil, Structural and Construction Engineering
• ISBN: 978-1-63248-042-2
• Keywords: historic building; masonry stones and bricks; airabrasive cleaning; greyscale; cleanness
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/9432
• Contract Date: Jan 14, 2016