• MIR SUHAIL AHMAD
• C.ARVIND KUMAR
• MASOOM REZA

Self-sensing concrete (SSC) refers to a structural material that can monitor itself without the need of any embedded, attached or remote sensors. By measuring electrical resistance of the self-sensing concrete, the stress, strain, crack and damage can be in situ monitored. Compared with conventional structural materials which require additional sensors for monitoring or detection, the SSC is advantageous in terms of high sensitivity, good mechanical property, natural compatibility, identical lifespan with concrete and easy installation and maintenance. It has been found that carbon fibre reinforced concrete can function as a smart structure material that allows non-destructive electrical probing for the monitoring of flaws. In this study the effect of addition of short carbon fibers (0.5-2.5% by weight of cement) on the electrical behavior of concrete was investigated. Both strain and damage sensing properties of carbon fiber reinforced concrete were investigated in the present study. Strain sensing tests were first made on the material’s elastic range, by gradually loading specimen up to 54KN. At the same time both strain and resistivity were measured. The former was controlled using strain gages, and the latter using a Key sight digit multimeter on a two probe setup. The electrical resistance of carbon fiber reinforced concrete was found to decrease reversibly upon increasing compressive loading and reversibly increased upon unloading

self-sensing concrete (scc), carbon fibres, strain gauges, resistivity.

"STRUCTURAL HEALTH MONITORING USING CARBON FIBRE REINFORCED CONCRETE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.523-529, July-2018, Available :http://www.jetir.org/papers/JETIR1807800.pdf

"STRUCTURAL HEALTH MONITORING USING CARBON FIBRE REINFORCED CONCRETE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp523-529, July-2018, Available at : http://www.jetir.org/papers/JETIR1807800.pdf