Automated measurement of concrete spalling through reinforcement detection
Paal, Stephanie German
Journal of Structural Engineering
American Society of Civil Engineers
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Paal, S. G., Brilakis, I., & DesRoches, R. (2014). Automated measurement of concrete spalling through reinforcement detection. Journal of Structural Engineering, 141 https://doi.org/10.1061/(ASCE)ST.1943-541X.0001200
In emergency scenarios, immediate reconnaissance efforts are necessary. These efforts often take months to complete in full. While underway, building occupants are unable to return to their homes/businesses, and thus, the impact on the society of the disaster-stricken region is increased. In order to mitigate the impact, researchers have focused on creating a more efficient means of assessing the condition of buildings in the post-disaster state. In this paper, a machine vision-based methodology for real-time post-earthquake safety assessment is presented. A novel method of retrieving spalled properties on reinforced concrete (RC) columns in RC frame buildings using image data is presented. In this method, the spalled region is detected using a local entropy-based approach. Following this, the depth properties are retrieved using contextual information pertaining to the amount and type of reinforcement which is exposed. The method is validated using a dataset of damaged RC column images.
This material is based in part upon work supported by the National Science Foundation under Grant Numbers CMMI-1034845 and CMMI-0738417.
External DOI: https://doi.org/10.1061/(ASCE)ST.1943-541X.0001200
This record's URL: https://www.repository.cam.ac.uk/handle/1810/246882