Abstract: This study investigates the monitoring capabilities of a carbon yarn embedded in a cementitious matrix as an intelligent strain sensor by means of a gauge factor (GF). In the proposed configuration, the yarn simultaneously functions as the structural system and as the sensory platform, yielding efficient and intelligent concrete elements. The concept of the smart self-sensory system is based on monitoring changes in the electrical properties of the carbon yarn, namely: resistance, inductance, or impedance, and correlating them to the structural health. These capabilities were investigated in carbon yarns that were inserted within textile-reinforced concrete (TRC) structural elements, in which the correlation yielded important information in the macro-structural level. The integrative measurements were used to estimate the structural state associated with cracking and straining along the element. Yet, to fully understand the structural-electrical mechanism and to further enhance the development of the smart carbon-based sensor, it is essential to explore the electrical-micro-structural mechanism at the component level. Therefore, the study offers to explore the correlation between straining and cracking at the component level by means of GF. Separately investigating strained or cracked zones at the yarn’s level will provide vital information on the monitoring capabilities of the carbon yarn. To answer these goals, the study will perform an experimental investigation of carbon-based TRC elements subjected to a designated pull-out test based on a uniaxial tensile setup. The proposed setup aims to correlate between changes in the electrical properties characterizing the carbon yarn and the micro-structural mechanism associated with the degradation of the structural health associated with the propagation of the crack. The outcomes of this study aim to enhance the understanding of the structural-electrical correlation, which paves the way for the development of intelligent strain sensors for TRC structures.
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