Experimental Study on a Reinforced Concrete Element to Extract the Durability Index with the Automated Visualization

Reinforced concrete (RC) durability is a crucial feature to estimate long-term quality and structural performance. The degradation model vital for the resource planning of maintenance projects. This will extract data by updating status structures trending components’ state over time in terms durability. Surface erosion, spalling, cracks, other defects exposed on RC components lead increase factors adversely affecting structures. research presents an approach based automated visualization extracting quantitative indexes as well visual inspection without subjective interspersion humans or probable human errors during inspection. index (Di) according damage probability growth order severity failure risk. Measurement operation software has been double-checked manual measurement tools, verify randomly this method. results show that, component, damaged area increases 24% after definite time. According models, component may pass relative thresholds limit operations fail. significant difference between expected designing determines Di, equal 5 out 10.