Image-Based deterioration assessment of fiber reinforced No Aggregate concrete

• Main Authors: Bagadiya, Amit, Murali Krishna, B., Sandeep Kumar, G.A.V.S.
• Format: Conference Proceeding
• Language: English
• Subjects: Deterioration; Digital Image Correlation; Glass Fiber; Grey Scale; No Aggregate Concrete; Silica Fume; Spectrum
• ISSN: 2214-7853; 2214-7853
• DOI: 10.1016/j.matpr.2022.02.331

Aggregates are the major ingredients of concrete and based on the data acquired from various sources demand will keep spiking up day by day. To overcome this problem utilization of a variety of waste materials, such as recycled coarse aggregates, fly ash, silica fume, GGBS, Gypsum, etc. is used to produce concrete mixes. NO AGGREGATE CONCRETE (NAC) was developed to protect natural resources from exploitation through experimental research and trials. This eliminates the use of coarse and fine particles in concrete manufacturing. Using a digital image processing technique based on a simple visible spectrum, the current study evaluates the NO AGGREGATE CONCRETE (NAC) deterioration due to a chemical attack. For durability testing, M30 concrete cubes were cast. For 7, 14, and 28 days, concrete specimens were subjected to sodium hydroxide (NaOH) and magnesium sulphate (MgSO4) degradation at a 5 percent concentration. After the required exposure time, each face of the individual cube is taken, and the related statistics of greyscale intensity were obtained. Using image analysis software to analyze digital images, it is possible to build a correlation with greyscale intensities of numerous established deterioration measures. With digital image-based analysis, it is possible to create a link between the greyscale intensities of many established deterioration indicators such as mass loss, dimension loss, and strength loss. In NaOH and MgSO4-exposed concrete, both the intensity of the greyscale and the mean greyscale as strong predictors of the extent of deterioration. The mean greyscale intensities enable identification of exposure and deterioration due to different chemicals. Digital image analysis enables the development of correlation with greyscale intensities of various established deterioration measures such as mass loss, dimension loss, and strength loss. Both the intensity of greyscale as well as mean greyscale are found to be good predictors of the extent of deterioration in concrete exposed to NaOH and MgSO4.